# FewerJobs export - 100 curated jobs Generated: 2026-08-14T19:42:05.589Z Source: https://fewerjobs.com ## Filters applied - **q**: Synthetic Sciences - **quality_floor**: default - **match_401k_strict**: true - **parental_strict**: true - **non_birth_strict**: true - **pto_strict**: true - **include_older**: false - **apply_url_verified**: false - **page**: 3 - **per_page**: 100 - **sort**: relevance ## Jobs ### Director of Product Management - Ansa Biotechnologies - Location: Emeryville, CA (unspecified) - Salary: $170K-$200K - Posted: 2026-03-31 - Apply: https://job-boards.greenhouse.io/ansabiotechnologies/jobs/4679842005 - Excerpt: Director of Product Management Emeryville, CA Company Overview: Ansa Biotechnologies is on the forefront of a scientific revolution. We are developing an innovative approach to DNA synthesis, aiming to transcend the boundaries set forth by traditional methods. Our technology is not just a tool; it's a beacon of hope for enabling some of the most pressing synthesis challenges that are gating key developments in health and sustainability. Join us in shaping a future where science leads the way to a better world. Job Description: We are seeking a talented and driven Director of Product Management to join our dynamic team at the forefront of synthetic biology. In this role, you will be responsible for guiding the development and launch of innovative products that meet customer needs and drive business growth. You will collaborate closely with cross-functional teams, including engineering, marketing, sales, and customer support, to deliver exceptional products that align with our company's vision and strategy. This role reports to the VP of Strategic Marketing. This is a hybrid role, on site at least 3 days a week. Applicants must be located in the Bay Area or willing to relocate. Key Responsibilities: - Product Development : As a key stakeholder within the Ansa Product Development Core Team, collaborate with cross-functional teams (R&D, operations, sales, and marketing) to drive products through Ansa's product development process (PDP), lead successful product launches and overall business success. Understand market dynamics, customer needs, and competitive landscapes to inform marketing strategies and product positioning. - Customer ### Research Engineer / Research Scientist (Pre-training) - Ideogram - Location: Toronto, Ontario, Canada, New York (unspecified) - Salary: Not disclosed - Posted: 2026-06-03 - Apply: https://jobs.ashbyhq.com/ideogram/d2131545-4215-42db-9d3b-718740dd6d76 - Excerpt: Research Engineer / Research Scientist (Pre-training) Toronto, Ontario, Canada, New York About Ideogram Ideogram's mission is to make world-class design accessible to everyone, multiplying human creativity. We build proprietary generative media models and AI native creative workflows, tackling unsolved challenges in graphic design. Our team includes builders with a track record of technology breakthroughs including early research in Diffusion Models, Google's Imagen, and Imagen Video. We care about design, taste, and craft as much as research and engineering - shipping experiences that creatives actually love. We've raised nearly $100M, led by Andreessen Horowitz and Index Ventures. Headquartered in Toronto with a growing team in NYC, we're scaling fast, aiming to triple over the next year. We're a flat team with a culture of high ownership, collaboration, and mentorship. Explore Ideogram 4.0 , Enterprise , API , Open Source , Character and Custom Models blog posts, and try Ideogram at ideogram.ai . The Opportunity In this role, you'll push the frontier of visual generative models. You'll work on large-scale pre-training for our text-to-image foundation models, shaping objectives, algorithms, data, and systems, and turn novel ideas into models that power products used by millions of users. You'll work with a creative and ambitious team of researchers and engineers who are building the future of the creative economy. What We're Looking For - PhD or Master's degree in Computer Science or equivalent industry experience. - 5+ years of experience in AI research, including training, fine-tuning, and experimenting with foundation models beyond black-box use. ### Research Scientist - Universal Display Corporation - Location: Location not specified (unspecified) - Salary: $100K-$115K - Posted: 2026-05-15 - 401(k) match: listed (not source-backed) - Apply: https://careers.oled.com/jobs/613358-research-scientist - Excerpt: Research Scientist Adesis Inc. is a subsidiary of Universal Display Corporation (Nasdaq: OLED) , a global leader in organic light emitting diodes. Within our OLED Chemistry organization, we engage in research and development of new materials for use in the fabrication of OLED devices leading to the next generation of OLED displays. Our R&D footprint encompasses almost 100,000 square feet of state-of-the-art laboratory and manufacturing space in two U.S. locations - New Castle and Wilmington, DE, centrally located in the Mid-Atlantic biotech/pharmaceutical hub. We are an extraordinary company looking for extraordinary talent! If you would like to be a part of a multi-disciplinary team of scientists and engineers working on fast-paced and innovative OLED research programs that will impact the next generation of consumer electronics, then please come and join us! Job Summary: Are you passionate about developing cutting-edge organic and organometallic materials? Do you thrive on solving complex chemistry challenges in a dynamic, fast-paced R&D environment? If so, we invite you to join our team and make an impact! We are seeking a highly skilled Research Scientist with deep expertise in synthetic organic chemistry to join our team dedicated to advancing OLED (Organic Light Emitting Diode) technology. This role centers on the design, modeling, and synthesis of innovative organic and organometallic compounds tailored for high-performance OLED applications. Key Responsibilities: - Design and Synthesis : Develop innovative organic and organometallic molecules using advanced synthetic methodologies to meet specific performance criteria for OLED devices. - Material Characterization : Investigate and analyze ### Member of the Technical Staff, Interpretability - Output Biosciences - Location: New York HQ 🗽 (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/output/6844d3fa-84e5-4dbf-9445-f88981600148 - Excerpt: Member of the Technical Staff, Interpretability New York HQ 🗽 Output has built a biological reasoning model that understands biology at the scale and complexity life actually operates. Our model independently learned the principles of molecular interactions, opening up drug treatments that were previously impossible. We're already generating therapies that traditional approaches cannot reach. The hardest problems in both AI and biology are being solved here, and there is room for you to own one. Output is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top-tier VCs including Y Combinator. You will continue developing methods to understand what our foundation model learns about biology, and build the tools that make it a glass box model. We believe that in biology, a model's reasoning must be visible. And the features you find are not just explanations: they expand what the model can do. - You will continue developing our methods for probing and reverse-engineering the model's learned representations, understanding how it encodes biological information across molecular scales - You will design and run experiments to identify and characterize capabilities, mapping what the model has learned about molecular interactions and biological function - You will build methods to extract the model's biological understanding as explicit, usable outputs that downstream systems and researchers can act on - You will create tools that connect model internals to meaningful biological concepts, making the model's reasoning interpretable to scientists and useful ### Member of Technical Staff - System Engineering - Phylo - Location: South San Francisco, California, United States, Toronto (hybrid) (hybrid) - Salary: Not disclosed - Posted: 2026-04-05 - Apply: https://jobs.ashbyhq.com/phylo/afd4a9ff-e473-4a1a-95c2-cb798587c554 - Excerpt: Member of Technical Staff - System Engineering South San Francisco, California, United States, Toronto (hybrid) About Phylo Phylo is an applied research lab building agentic intelligence to accelerate discovery for every biomedical scientist. We believe AI agents will fundamentally transform how biomedical research is done, enabling faster and more systematic scientific progress. Our growing team brings together world class researchers and engineers across AI and biology. Backed by a $13.5M seed round led by a16z, Menlo Ventures and Anthropic, and advised by Nobel Prize laureate and pioneering biologists, Phylo is building the next generation of AI systems for the life sciences. About the role We're looking for an engineer to build and operate the core systems that power Phylo's agentic AI platform in production. You'll design and implement the distributed systems, compute environments, and service architecture that allow our AI agents to run reliably at scale - across cloud-native deployments and enterprise environments. We are an AI-native engineering team: we use coding agents heavily, move fast, and hold a very high bar for engineering excellence. What You'll Work On - Design and build production systems that orchestrate agent execution and power AI-driven scientific workloads. - Build and operate scalable, reliable infrastructure across cloud, hybrid, and on-prem enterprise environments. - Develop systems for sandboxed execution, secure task isolation, and controlled compute environments. Design and implement security, access control, and compliance foundations suitable for enterprise deployments. - Partner closely with ML and science teams to translate computational workflows into robust, production-grade distributed ### Machine Learning Engineer - 3D Sensor Simulation - Zoox - Location: Foster City, CA (unspecified) - Salary: Not disclosed - Posted: 2025-02-26 - Apply: https://jobs.lever.co/zoox/55e51bf3-68ee-40d4-a1c5-5196e0e2d100 - Excerpt: Machine Learning Engineer - 3D Sensor Simulation Foster City, CA The 3D Simulation group at Zoox is looking for 3D Machine Learning engineers to simulate sensors (cameras, lidar, radar), combining GenAI/ML and modern 3D graphics techniques to close the gap between simulation and reality. You will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms. Collaborate with Sensor Sim, Perception, and V&V teams to evaluate and iteratively improve the fidelity of sensor simulation. The 3D Sensor Simulation team's work is at the core of creating high-fidelity synthetic data for training and testing AV AI, as well as real-time sensor data for hardware-in-the-loop simulation. The 3D Simulation group at Zoox is looking for 3D Machine Learning engineers to simulate sensors (cameras, lidar, radar), combining GenAI/ML and modern 3D graphics techniques to close the gap between simulation and reality. You will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms. Collaborate with Sensor Sim, Perception, and V&V teams to evaluate and iteratively improve the fidelity of sensor simulation. The 3D Sensor Simulation team's work is at the core of creating high-fidelity synthetic data for training and testing AV AI, as well as real-time sensor data for hardware-in-the-loop simulation. In this role, you will: - Research, implement, and optimize state of the art 3D rendering of sensor data, leveraging GenAI/ML and 3D graphics. - Develop realism metrics with V&V to show ### Senior SLS Materials Scientist - Formlabs - Location: Boston, MA (unspecified) - Salary: $115K-$142K - Posted: 2026-06-09 - Parental leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://careers.formlabs.com/job/7992565/apply/?gh_jid=7992565 - Excerpt: Senior SLS Materials Scientist Boston, MA About Formlabs: Do you want to change how the world creates? At Formlabs, we're building the tools that make it possible for anyone to bring their ideas to life, from cutting-edge products to life-saving medical devices. Our 3D printing technology powers innovation at more than 50,000 industry leaders worldwide, including Apple, Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and manufacture faster than ever before. We're a team of hands-on builders, engineers, and innovators reinventing how the world makes physical things. If you're ready to shape the future of fabrication, come build it with us. The Job - Build world-class SLS materials for 3D printing from initial lab explorations to validation and commercialization - Lead research that pushes the boundaries of SLS material performance, turning discoveries into next-gen solutions. - Partner with product, hardware, and software teams to iterate and improve material performance based on customer feedback - Develop methodologies to evaluate material formulations in coordination with SLS print systems -balancing material chemistry, thermal dynamics, and printing parameters You - Experience bringing a new material to market from ideation to production - Have a solid understanding of the fundamentals of materials science and polymer product development - Hands-on experience in thermo-plastic engineering - Passionate about testing and troubleshooting, not afraid to test hundreds of times - Love to harness data; can design and conduct rigorous experiments to optimize materials - Can work autonomously and take initiative to learn new skills ### Senior Machine Learning Engineer - 3D Sensor Simulation - Zoox - Location: Seattle, WA (unspecified) - Salary: Not disclosed - Posted: 2025-01-31 - Apply: https://jobs.lever.co/zoox/378816c3-f5aa-4384-a7cc-82366f0dfbc7 - Excerpt: Senior Machine Learning Engineer - 3D Sensor Simulation Seattle, WA The 3D Simulation group at Zoox is looking for 3D Machine Learning engineers to simulate sensors (cameras, lidar, radar), combining GenAI/ML and modern 3D graphics techniques to close the gap between simulation and reality. You will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms. Collaborate with Sensor Sim, Perception, and V&V teams to evaluate and iteratively improve the fidelity of sensor simulation. The 3D Sensor Simulation team's work is at the core of creating high fidelity synthetic data for training and testing AV AI, as well as real time sensor data for hardware-in-the-loop simulation. The 3D Simulation group at Zoox is looking for 3D Machine Learning engineers to simulate sensors (cameras, lidar, radar), combining GenAI/ML and modern 3D graphics techniques to close the gap between simulation and reality. You will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms. Collaborate with Sensor Sim, Perception, and V&V teams to evaluate and iteratively improve the fidelity of sensor simulation. The 3D Sensor Simulation team's work is at the core of creating high fidelity synthetic data for training and testing AV AI, as well as real time sensor data for hardware-in-the-loop simulation. In this role, you will: - Research, implement, and optimize state of the art 3D rendering of sensor data, leveraging GenAI/ML and 3D graphics. - Develop realism metrics ### Machine Learning Research Engineer, Agent Data Foundation - Enterprise GenAI - Scale AI - Location: San Francisco, CA; New York, NY (unspecified) - Salary: $265K-$331K - Posted: 2025-10-31 - Apply: https://job-boards.greenhouse.io/scaleai/jobs/4625345005 - Excerpt: Machine Learning Research Engineer, Agent Data Foundation - Enterprise GenAI San Francisco, CA; New York, NY AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research, tools, and resources that serve all of our enterprise clients. As MLRE on the Data Foundation team, you'll work on cutting edge research to define the data flywheel that makes the whole machine move. This includes research around synthetic environments from task definitions, building agents for trace analysis, and contributing to a cutting edge framework that automatically hill-climbs agent-building from an eval set. This will involve creating best-in-class Agents that achieve state of the art results through a combination of post-training + agent-building algorithms. If you are excited about shaping the future of the modern GenAI movement, we would love to hear from you! You will: - Build synthetic data pipelines to generate enterprise environments to use for RL post-training - Create agents to convert traces from production into ### Research Engineer/Research Scientist, Pre-training - Anthropic - Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY (remote) - Salary: $350K-$850K - Posted: 2025-07-18 - Apply: https://job-boards.greenhouse.io/anthropic/jobs/4616971008 - Excerpt: Research Engineer/Research Scientist, Pre-training Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Research Engineer to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Key Responsibilities: - Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development - Independently lead small research projects while collaborating with team members on larger initiatives - Design, run, and analyze scientific experiments to advance our understanding of large language models - Optimize and scale our training infrastructure to improve efficiency and reliability - Develop and improve dev tooling to enhance team productivity - Contribute to the entire stack, from low-level optimizations to high-level model design Qualifications: - Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field - ### Research Scientist, Life Sciences - Anthropic - Location: San Francisco, CA (unspecified) - Salary: $300K-$320K - Posted: 2026-06-02 - Apply: https://job-boards.greenhouse.io/anthropic/jobs/5239733008 - Excerpt: Research Scientist, Life Sciences San Francisco, CA About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. We're seeking an exceptional Research Scientist to join our Life Sciences team at Anthropic. Our team is building a world-class research group focused on making Claude a superhuman life sciences research assistant. This role sits at the intersection of machine learning, software engineering, and biology - you'll directly improve model capabilities on scientific tasks through post-training, evaluation design, and RL environment development. As a core member of our Life Sciences team, you'll work in a high-impact team that translates deep biological domain knowledge into model training objectives, benchmarks, and agentic workflows. You'll help establish Anthropic as a leader in AI-accelerated biology while shaping how frontier models reason about and execute computational biology tasks. This role offers a unique opportunity to shape how frontier AI models learn to do biology. You'll work alongside some of the world's best AI researchers while tackling problems that matter for human health and scientific understanding. If you're excited about turning your computational biology expertise into model capabilities, we want to hear from you. Key Responsibilities - Build and ship agentic tools and integrations that let Claude execute real life science workflows - bioinformatics pipelines, database ### Simulation Realism Engineer - OpenAI - Location: San Francisco, California, United States (unspecified) - Salary: Not disclosed - Posted: 2025-12-05 - 401(k) match: listed (not source-backed) - Apply: https://jobs.ashbyhq.com/openai/e2e59dcf-1017-45c5-8e6e-509a5812959b - Excerpt: Simulation Realism Engineer San Francisco, California, United States About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples' lives. About the Role We are hiring a Simulation Realism Engineer to drive our effort to make simulation quantitatively real for robotics research and product development. This role owns the strategy, tooling and operational practice that close sim→real gaps across physics, sensors and rendering. You will work cross-functionally with research, software, hardware and ops to discover the highest-impact realism gaps, define measurable realism metrics, and deliver engineering solutions - from tuning engine parameters and asset standards to integrating third-party engines and operating sims at scale. This is a hands-on engineering role that blends scientific rigor (measurement & validation) with pragmatic systems work (tooling, cloud ops, and CI/HIL pipelines). This role is based in San Francisco, CA. This role will require 4 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Define and operationalize realism metrics & protocols. Design experiments and automated tests to find specific areas of non-realism, quantify gaps, and track regressions over time. - Fine-tune engine parameters (contacts, friction, mass/density, solver settings) and object models so simulated dynamics match measured reality. ### Carpenter - Department of Veterans Affairs - Location: Leavenworth, Kansas (unspecified) - Salary: Not disclosed - Posted: 2026-06-11 - Hires in: KS - Apply: https://www.usajobs.gov:443/job/872664600 - Excerpt: Carpenter Leavenworth, Kansas Summary Position functions as a Carpenter for the Eastern Kansas Health Care System, Facilities Management Service, and performs a full range of carpentry and related maintenance duties, placing a high emphasis on general carpentry and interior renovations to maintain a safe and functional environment. Duties Major duties and responsibilities include but are not limited to: Constructs, installs, and repairs structures and fixtures, such as windows, doors, floors, ceilings, and cabinetry. Reads and interprets blueprints, drawings, and sketches to determine specifications and calculate requirements. Operates woodworking machines and uses hand tools to cut, shape, and form wood, plastic, and other materials. Installs frameworks, partitions, doors, and windows. Prepares and applies coating materials on wood, metal, concrete, synthetic, and other surfaces utilizing standard and special methods of the painting trade. Repairs drywall and plaster; patches and finishes surfaces; replaces damaged components; ensures paint-ready condition. Measures and calculates the quantity of wall covering needed for a wall-covering task. Uses metals, synthetic resins, plastics, and patching compounds, pumice, and rottenstone for evening out dents and scars in the surfaces to be covered. Conducts inspections; performs preventive maintenance; documents work; ensures compliance with standards. Maintain all tools and equipment in operating condition. Performs interior and exterior painting. Executes painting both inside and outside of buildings, equipment, furnishings, machinery, and other surfaces. Performs exterior road striping and marking using appropriate paint and equipment. Erects rigging, staging, and scaffolding as part of the painting operation. Performs a variety of work in related construction trades. ### Scientist, Reagent Process Development - Personalis INC - Location: Fremont, CA (unspecified) - Salary: $120K-$150K - Posted: 2026-02-04 - 401(k) match: listed (not source-backed) - Learning budget: yes (not source-backed) - Apply: https://job-boards.greenhouse.io/personalisinc/jobs/7619789003 - Excerpt: Scientist, Reagent Process Development Fremont, CA At Personalis, we are transforming the active management of cancer through breakthrough personalized testing. We aim to drive a new paradigm for cancer management, guiding care from biopsy through the life of the patient. Our highly sensitive assays combine tumor-and-normal profiling with proprietary algorithms to deliver advanced insights even as cancer evolves over time. Our products are designed to detect minimal residual disease (MRD) and recurrence at the earliest timepoints, enable selection of targeted therapies based on ultra-comprehensive genomic profiling, and enhance biomarker strategy for drug development. Personalis is based in Fremont, California. Summary: We are seeking a results-driven, hands-on Process Development Scientist to join our exciting team. In this role, you will be responsible for translating R&D breakthroughs into reagent production processes, specifically focusing on formulations, packaging, and QC assays/specifications. This position bridges R&D and Manufacturing, ensuring that new products are robust, scalable, cost-effective, and compliant with ISO 13485/GMP standards. Responsibilities: Formulation Process Development: Develop and optimize manufacturing methods for reagent formulations to ensure consistency, functionality, and stability. Reagent Packaging Process Development: Design and implement accurate and reproducible filling, dispensing, labeling, and sealing processes for liquid reagents into tubes and multi-well plates. Scale-Up: Transition laboratory-scale formulations and manual filling processes into robust, automated, or semi-automated production-scale processes. Evaluate outsourcing to contract manufacturers, as needed. Design scaled up and practical manufacturing processes, while identifying Critical Process Parameters and Critical Quality Attributes. QC Assay Development & Specs: Develop relevant in-process and finished product test methods ### Regional Sales Manager - Installed - Calumet Inc - Location: United States (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - Apply: https://jobs.dayforcehcm.com/en-US/calumet/CANDIDATEPORTAL/jobs/7904 - Excerpt: Regional Sales Manager - Installed United States Regional Sales Manager - Installed United States Posted Thursday, May 14, 2026 PURPOSE: The Regional Installed Sales Manager is the driver of business development for the Royal Purple Synthetic Oil Consumer Brand into the DIFM automotive installer sector for the assigned territory. This position actively makes cold calls for the purpose of prospecting and winning new installers. In addition, she/he manages existing installer relationships, including execution and training of our programs, incentives, and consumer promotions. This position also manages the business relationships with our third-party distributor network, providing distributor's sales teams with the sales tools, product training, and industry knowledge necessary to successfully increase sales of Royal Purple Synthetic products. Ideal candidate to be located in Wisconsin, Michigan, Illinois, Indiana, Ohio, or Kentucky. KEY OBJECTIVES AND RESPONSIBILITIES: Achieve annual sales and margin goals by gaining new Installer Accounts and growing sales volume with current Installed customers of Royal Purple branded products through our distributors and approved national account programs. Actively solicit new DIFM Automotive Installers and utilize distributor sales representatives to support on-boarding and ongoing support within each Installed account. Demonstrate known best practices with Distributor Installed Sales Representatives, ensuring effective lead generation and sales activities occur when not directly working in distributor's sales area. Regularly provide product training, sales training, and support of the Royal Purple Consumer Brand at both the installer and the distributor levels. Implement and facilitate national Installer programs within assigned territory as directed and designed by National Installed ### Principal Scientist, Medicinal Chemistry - Iambic Therapeutics - Location: San Diego HQ, San Diego, California, United States (unspecified) - Salary: Not disclosed - Posted: 2026-04-15 - 401(k) match: listed (not source-backed) - Apply: https://jobs.ashbyhq.com/iambic-therapeutics/c6d254ff-4674-452f-a085-96cfd8141f9d - Excerpt: Principal Scientist, Medicinal Chemistry San Diego HQ, San Diego, California, United States JOB SUMMARY We seek an experienced and creative medicinal chemist with a proven track record of success in drug discovery. Candidates should be motivated to work in an intensely collaborative, multidisciplinary, team-based setting. The ideal candidate will be passionate about solving medicinal chemistry challenges, as well as proactively interfacing with diverse teams working on automated experimentation, AI-driven molecular generation, property predictions, and bioassay data generation. This position is on-site at our San Diego Headquarters. KEY RESPONSIBILITIES - Devise strategies to identify lead molecules and optimize them for potency, selectivity, and ADME properties using multivariant SAR analysis and hypothesis driven design principles. - Execute on high quality ideas by employing a broad range of modern organic chemistry transformations, synthetic methods, creative use of parallel experimentations and implementing innovative techniques. - Work closely with molecular and cellular biology, pharmacology, computational chemistry, ADME, and other key functions - Influence the prospective use of computational methods and leverage automated synthesis and high-throughput experimentation capabilities - Work closely with AI/ML teams to develop and implement relevant predictive models to aid in the design of new molecules - Communicate project updates clearly and effectively to the broader team and key stakeholders - Work as a member of the Chemistry research group and foster a culture of scientific excellence, innovation, and teamwork QUALIFICATIONS - BS, MS, or PhD in chemistry with a focus on synthetic organic chemistry - Experience in small molecule drug discovery in ### Principal Research Scientist II, Lipid Chemistry - AbbVie Inc. - Location: San Diego, CA, United States (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - Parental leave: 12 weeks (not source-backed) - Non-birth-parent leave: 12 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://jobs.smartrecruiters.com/AbbVie/3743990013045116-principal-research-scientist-ii-lipid-chemistry - Excerpt: Principal Research Scientist II, Lipid Chemistry San Diego, CA, United States Company Description: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Job Description: We seek a Principal Scientist II, Lipid Chemistry to join an experienced, fast-paced and collaborative team focused on developing lipid nanoparticle delivered mRNA medicine. This position will lead the design and synthesis of novel lipids including but not limited to ionizable lipids and other proprietary delivery chemistries. The ideal candidate brings strong instincts in advanced organic synthesis, route planning, and reaction optimization, with the creativity and rigor to generate high-quality analog series. Success in this chemistry focused role depends on the ability to independently conceive, synthesize, purify, and characterize compounds, then use data to iterate rapidly toward improved molecules. Responsibilities & Duties: Lead and optimize novel lipid designs and chemistries from diverse structural families for LNP platform technology development Plan and execute efficient synthetic routes for target molecules and close analogs. Optimize reactions, troubleshoot challenging transformations, and solve synthetic bottlenecks. Design multistep routes of synthesis and purification for scalability and purity in keeping with project goals and ### Research Intern - Gensyn - Location: Remote (remote) - Salary: Not disclosed - Posted: 2025-04-23 - Apply: https://job-boards.eu.greenhouse.io/gensyn/jobs/4579609101 - Excerpt: Research Intern Remote Machine intelligence will soon take over humanity's role in knowledge-keeping and creation. What started in the mid-1990s as the gradual off-loading of knowledge and decision making to search engines will be rapidly replaced by vast neural networks - with all knowledge compressed into their artificial neurons. Unlike organic life, machine intelligence, built within silicon, needs protocols to coordinate and grow. And, like nature, these protocols should be open, permissionless, and neutral. Starting with compute hardware, the Gensyn protocol networks together the core resources required for machine intelligence to flourish alongside human intelligence. The Role - Contribute to cutting-edge research in scalable, distributed machine learning systems alongside experienced researchers and engineers. Explore new ways of building and verifying neural networks that operate across huge, decentralised, topologies of heterogenous devices. Responsibilities - Contribute to original research in deep learning with a focus on modular architectures, verifiability, continual learning, and scale - Design and prototype novel neural network architectures for decentralized compute environments - Contribute to joint publications and projects in collaboration with academic and industry researchers targeting top-tier AI venues such as NeurIPS, ICML, and ICLR Competencies Must Have - Currently enrolled in a PhD program (or, in exceptional cases, in a Master's program) in Computer Science, Machine Learning, or a related field - Prior experience conducting original research, ideally with authorship or co-authorship on ML papers - Strong understanding of deep learning fundamentals and experience working with in at least one major framework, e.g. PyTorch, JAX, or TensorFlow ### Researcher, Alignment Training - OpenAI - Location: San Francisco, California, United States (unspecified) - Salary: Not disclosed - Posted: 2026-04-30 - 401(k) match: listed (not source-backed) - Apply: https://jobs.ashbyhq.com/openai/40a02dc5-a57b-4db4-be75-139aa23b33a1 - Excerpt: Researcher, Alignment Training San Francisco, California, United States About The Team The Alignment Training team studies how frontier models acquire durable behavioral tendencies across the training stack. We work on identifying which behaviors can be shaped through pre-training, mid-training, and post-training; building the data, objectives, and evaluations needed to influence them; and determining whether the resulting behavior reflects a general learned tendency or a narrow artifact of the training distribution. Our work spans synthetic data, pre-training, mid-training, post-training, model behavior, and evaluation. We study how models learn to interpret intent, follow instructions, reason through tasks, express uncertainty, act honestly, and remain reliable under new conditions. The goal is to make desirable tendencies emerge early, strengthen throughout training, and appear robustly in deployed systems. About The Role We're looking for a senior researcher with exceptional technical depth in large-scale model training, synthetic data, or evaluation who is excited to study how training choices shape aligned behavior in frontier models. You will help shape the research agenda for alignment training: defining the behaviors we want models to learn, designing data and training interventions to teach them, and building the evaluation loops needed to tell whether those behaviors are broad, robust, and durable. The strongest candidates will be able to move from an ambiguous behavioral question to a concrete experimental program: formulate the hypothesis, design the intervention, build the pipeline, run the experiment, and decide whether the result is real. This role is especially well suited for someone who wants to work close ### Performance Engineer, Inference Systems - Anthropic - Location: San Francisco, CA | New York City, NY | Seattle, WA (unspecified) - Salary: $350K-$850K - Posted: 2026-05-20 - Apply: https://job-boards.greenhouse.io/anthropic/jobs/5224564008 - Excerpt: Performance Engineer, Inference Systems San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's inference fleet serves Claude to millions of users across our own products and the world's largest cloud platforms. The stack that makes this possible is deep and tightly coupled: accelerator kernels, model servers, distributed routing, autoscaling, capacity management. Every layer affects the others, often in ways that are hard to see in isolation. The Inference System Dynamics team is responsible for understanding that whole system and holding it to a high bar across four dimensions: throughput, latency, reliability, and correctness . We measure how the fleet performs against its theoretical performance frontier, run cross-layer investigations to explain the gaps, and own the correctness checks that make sure Claude's outputs are right, not just fast, across hardware platforms and serving configurations. We don't own the individual components. We instrument and model them, find the highest-leverage opportunities across them, and partner with the owning teams to land the wins. You'll work across all four areas. One week that might mean tracing a tail-latency regression from request timing down through routing and batching into a kernel overhead; the next it might ### LLM Inference Performance & Evals Engineer - Cerebras Systems - Location: Toronto, Ontario, Canada (unspecified) - Salary: Not disclosed - Posted: 2025-07-24 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/6658665003 - Excerpt: LLM Inference Performance & Evals Engineer Toronto, Ontario, Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role Join the inference model team dedicated to bring up the state-of-the-art models, numerically validating and accelerating new model ideas on wafer-scale hardware. You will prototype architectural tweaks, build performance-eval pipelines, and turn hard numbers into changes that land in production. Key Responsibilities - Prototype and benchmark cutting-edge ideas: new attentions, MoE, speculative decoding, and many more innovations as they emerge. - Develop agent-driven automation that designs experiments, schedules runs, triages regressions, and drafts pull-requests. - Work closely with compiler, runtime, ### AI Educator - Higgsfield - Location: San Francisco / Los Angeles, California, USA (unspecified) - Salary: $110K-$125K - Posted: 2026-01-14 - Apply: https://jobs.ashbyhq.com/higgsfieldai/381bdce4-7aa1-4db5-b6ae-4411af8ee793 - Excerpt: AI Educator San Francisco / Los Angeles, California, USA About Higgsfield Higgsfield AI is the leading video AI company redefining synthetic media on socials. The company is entering its next stage of scale with $200M+ run-rate sales in just 9 months after launch, and a fresh $130M Series A. Who we are looking for - Deep understanding of generative AI workflows for video, creative, marketing, and advertising use cases. - Strong hands-on content creation skills across AI video, UGC, social content, and creative storytelling. - Exceptional communication and presentation abilities, with the ability to simplify complex AI concepts for both technical and non-technical audiences. - Experience educating teams, leading workshops, onboarding users, or training enterprise stakeholders. - Passion for helping brands, creators, and sales teams understand how AI changes modern content production. - Strong curiosity around emerging AI tools, creative trends, and the future of synthetic media. What you will work on - Enterprise product demos : Lead structured, high-impact product demos for client stakeholders, tailored to specific use cases, industries, and workflows, while clearly communicating product capabilities and roadmap. - Educational sales tools & thought leadership : Develop keynote decks, presentations, and storytelling content for industry events and client meetings that position Higgsfield as a leader in GenAI creative. - Sales enablement assets : Partner with B2B sales to create personalized, brand-relevant creative assets for pitches, including branded UGC videos, editorial imagery, and ad concepts that clearly demonstrate Higgsfield's value for each client. - Client adoption and training : ### Senior Scientist II Medicinal Chemistry, Oncology - AbbVie Inc. - Location: North Chicago, IL, United States (unspecified) - Salary: $148K-$202K - Posted: 2026-06-12 - Parental leave: 12 weeks (not source-backed) - Non-birth-parent leave: 12 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://jobs.smartrecruiters.com/AbbVie/3743990013571726-senior-scientist-ii-medicinal-chemistry-oncology - Excerpt: Senior Scientist II Medicinal Chemistry, Oncology North Chicago, IL, United States Company Description: AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas - immunology, oncology, neuroscience, and eye care - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on X , Facebook , Instagram , YouTube , LinkedIn and Tik Tok . Job Description: Key Responsibilities Conduct research in a large, multi-functional medicinal chemistry organization. As part of a project team, devise & execute synthetic routes to generate potential drug targets. Learn to use institutional software & tools to enable & accelerate design of new drug targets. Conceive & execute hypothesis-driven medicinal chemistry projects to optimize safety, ADME, & efficacy. Optimize routes to scale-up materials for key in vivo studies. Apply novel synthetic methodologies to access challenging targets. Analyze products using NMR, HPLC, LCMS, SFC, & other analytical tools to characterize reaction yields, product purity, & enantiomeric excess. Analyze & interpret in vitro & in vivo data from preclinical studies to inform design of next generation potential drug targets. Create scientific presentations & manuscripts for effective communication with internal stakeholders & international chemistry community. Qualifications: Education & Experience Must have a PhD in Organic Chemistry or other related scientific field & 2 years of academic or ### AI Research Engineer, FAIR Chemistry - Meta - Location: Menlo Park, CA; San Francisco, CA (unspecified) - Salary: $122K-$181K - Posted: 2026-06-04 - 401(k) match: listed (not source-backed) - Apply: https://www.metacareers.com/jobs/1670353460809164/ - Excerpt: AI Research Engineer, FAIR Chemistry Menlo Park, CA; San Francisco, CA Meta is seeking a researcher to join the Fundamental AI Research (FAIR) Chemistry team, a research organization focused on advancing the state-of-the-art in AI. In this role, you'll work with world-class researchers at FAIR on fundamental and exploratory research. Our current projects include new datasets, models, and capabilities to accelerate chemistry and materials science. Our organization is motivated by producing new science to understand intelligence and technology towards achieving advanced machine intelligence. In this specific role, you will develop and enhance capabilities for modeling complex battery and electrolyte chemistries. Responsibilities: - Provide technical leadership for a scientific direction in AI for science. - Perform research that advances the state-of-the-art in AI for chemistry and materials science. - Work closely with internal and external partners to realize impact of methods advances. - Work towards long-term goals, while identifying intermediate milestones. - Influence progress of relevant research communities by producing publications. - Open source high quality code and produce reproducible research. - Enhance the capabilities of FAIR chemistry models in complex chemical environments like electrolytes or strong applied fields. Minimum qualifications: - First-authored or last-authored publications at peer-reviewed conferences, such as ICML, NeurIPS, ICLR, and other similar venues, or domain scientific journals - Master's Degree or PhD in AI, computer science, data science, science/engineering, or related technical fields - Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience - Research background in machine learning, artificial intelligence, ### Research Associate, Cell Biology - Twist Bioscience - Location: USA - South San Francisco, CA (onsite) - Salary: $68K-$85K - Posted: 2026-06-10 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/twistbioscience/jobs/7952153 - Excerpt: Research Associate, Cell Biology USA - South San Francisco, CA Research Associate, Cell Biology (onsite in South San Francisco, CA) Job Description Programmable DNA, the software of Life, is finally here! Twist Bioscience is developing a disruptive Synthetic DNA technology that will change the world, enabling widespread health and sustainability. Synthetic biologists will use our products to engineer how organisms produce cures to diseases, make everyday chemicals by using the atmosphere as the carbon source, enable plants to make their own fertilizers, and to create in-vivo diagnostics that alert us when we are sick, and many more applications. We are seeking an outstanding, innovative, and creative candidate to join Twist Biopharma as a Research Associate in Antibody Discovery and Engineering. This role will focus on characterizing lead antibodies via cell biology techniques while additionally contributing to antibody engineering and discovery projects through phage- and yeast-displayed antibody libraries What You'll Be Doing Responsible for a range of cell-based lab work, including mammalian tissue culture, transfection, flow cytometry (FACS), and other functional assays. These tasks include wet-lab work of increasing complexity and independence, involving planning, execution, troubleshooting, and compiling results. This role includes preparing data, graphs, and reports, and communicating results to internal teams. Contribute to our in vitro display technologies (e.g. phage display, ribosome display, and yeast display), molecular biology, biochemistry, and SPR. Direct experience in all of the technical areas above is preferred but not required. Work collaboratively under aggressive timelines What You'll Bring to the Team Your educational background ### Software Engineer, Product - Adaptyv - Location: Lausanne / Hybrid / Remote | Hybrid | Remote (hybrid) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/34e28741-b3fc-4536-b666-1e690c8f33f5 - Excerpt: Software Engineer, Product Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll work across LabOS - our internal software platform - building the orchestration layer that coordinates everything from experiment scheduling to execution to data capture and results processing. This is full-stack product engineering at the intersection of software and physical-world biology. Day-to-day, that can mean things like: - Creating interfaces and APIs that give scientists ### Senior Research Scientist, Fundamental Generative AI - NVIDIA Corporation - Location: US, CA, Santa Clara (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - 401(k) match: listed (not source-backed) - Apply: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Research-Scientist--Fundamental-Generative-AI_JR2013039 - Excerpt: Senior Research Scientist, Fundamental Generative AI US, CA, Santa Clara posted: Posted 30+ Days Ago ### Member of Technical Staff - Mid-training - xAI - Location: Palo Alto, CA (unspecified) - Salary: $180K-$440K - Posted: 2025-10-31 - Apply: https://job-boards.greenhouse.io/xai/jobs/4965893007 - Excerpt: Member of Technical Staff - Mid-training Palo Alto, CA ABOUT xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. RESPONSIBILITIES: - Scale synthetic coding data to trillions of tokens with large-scale docker verification. - Distill the intelligence of flagship models into flash models through synthetic data generation. - Optimize mid-training data mixtures to boost the ceiling for RL. - Engineer long-context data recipes. - Develop robust and diverse evaluation for mid-training checkpoints. BASIC QUALIFICATIONS: - Expertise in ML and large model scaling, with familiarity across all kinds of scaling laws. - Strong ability to design ML experiments. - Familiarity with state-of-the-art techniques for curating AI training data for text, image, audio, and video modalities. - Strong engineering abilities in Spark, Ray, and other frameworks for large-scale data processing. COMPENSATION AND BENEFITS: $180,000 - $440,000 USD Base salary is just one part of our total rewards package at xAI, which ### R&D Engineer - Thermo Fisher Scientific - Location: Cheseaux-sur-Lausanne, Vaud, Switzerland (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - 401(k) match: listed (not source-backed) - Apply: https://thermofisher.wd5.myworkdayjobs.com/ThermoFisherCareers/job/Cheseaux-sur-Lausanne-Switzerland/R-D-Analytical-Specialist_R-01354201/apply - Excerpt: R&D Engineer Cheseaux-sur-Lausanne, Vaud, Switzerland Embrace the opportunity to become an R&D Engineer and drive innovation in optical emission and XRF spectroscopy. Lead technical projects, develop next-generation products, and collaborate with multidisciplinary teams. If you have expertise in laboratory instrumentation and a passion for scientific advancement, this is your opportunity to make a global impact. ### Senior Scientist, Molecular Biology - Serif Health - Location: Cambridge, MA (unspecified) - Salary: $126K-$182K - Posted: 2026-06-10 - Apply: https://job-boards.greenhouse.io/serif/jobs/8511741002 - Excerpt: Senior Scientist, Molecular Biology Cambridge, MA Company Summary: Serif Biomedicines, Inc. is a privately held, early-stage biotechnology company developing a novel approach to gene therapy that can address currently untreatable diseases. Serif Biomedicines was founded by Flagship Pioneering, an innovation enterprise that conceives, creates, resources, and grows first-in-category life sciences companies. Flagship Pioneering has created over 100 groundbreaking companies over the past twenty years, all of which are pioneering novel and proprietary biological, industrial, and engineering approaches to solve major needs in human health and sustainability. These companies include Moderna (MRNA), Syros Pharmaceuticals (SYRS), Seres Therapeutics (NASDAQ:MCRB), Generate Biomedicines, Tessera Tx, Evelo Biosciences (EVLO), and Indigo Agriculture. The role We are seeking a highly innovative and driven Senior Scientist, Molecular Biology to lead the design and generation of next-generation DNA constructs enabling programmable medicines. This role is ideal for a scientist who thrives at the intersection of synthetic biology, high-throughput cloning, and computational sequence engineering . You will play a critical role in building scalable platforms for plasmid DNA design, construction, and optimization , leveraging automation, algorithm-driven sequence design, and data-centric workflows . The ideal candidate brings deep technical expertise, creative problem-solving, and a passion for pushing the boundaries of nucleic acid engineering in a fast-paced, entrepreneurial environment. The Senior Scientist will report to the Director of Molecular Biology and is expected to manage a direct report. The role involves close collaboration with other Scientists and group leads across the company as part of a highly collaborative and growing R&D ### Member of Technical Staff - Fireworks AI - Location: New York, NY (unspecified) - Salary: $175K-$220K - Posted: 2026-06-11 - Apply: https://job-boards.greenhouse.io/fireworksai/jobs/4284300009 - Excerpt: Member of Technical Staff New York, NY About Us: At Fireworks, we're building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We've been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We're an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI. Job Duties: Design, develop, and maintain large-scale backend and cloud-native infrastructure to support distributed machine learning training, inference, and data processing pipelines for generative AI platform. Architect and build scalable, resilient backend infrastructure to support distributed training, inference, and data processing pipelines. Lead technical design discussions, mentor engineers, and establish best practices for large-scale machine learning systems. Design and implement core backend services with a focus on efficiency and low latency. Drive infrastructure optimization initiatives for compute cost, storage lifecycle management, and network performance. Collaborate with machine learning, DevOps, and product teams to translate research and product requirements into robust infrastructure solutions. Evaluate and integrate cloud-native and open-source technologies such as Kubernetes, Ray, Kubeflow, and MLFlow to enhance platform reliability. Own end-to-end systems from design to deployment, emphasizing reliability, fault tolerance, and operational excellence. Minimum Education & Experience Required : Bachelor's degree or equivalent in Computer Science or related field ### Senior/Staff Software Engineer, Behavior Verification - Nuro - Location: Mountain View, California (HQ) (unspecified) - Salary: $176K-$320K - Posted: 2025-10-13 - Apply: https://nuro.ai/careersitem?gh_jid=7243150 - Excerpt: Senior/Staff Software Engineer, Behavior Verification Mountain View, California (HQ) Who We Are Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world's most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale-empowering a safer, richer, and more connected future. About the Role As a Senior/Staff Software Engineer working on driving behavior verification, you are responsible for implementing metrics that evaluate the end-to-end behavior of the Nuro Driver. These metrics will be used to quantify the safety of the driving behavior in our target ODD. This requires prior experience with the development or verification of behavior planning/prediction systems for robots, and a collaborative nature to work closely with a variety of teams across Nuro: Systems, Onboard Software, Simulation, Product, and Operations. About the Work - Develop and implement in Python generalizable metrics to verify the driving behavior of an autonomous vehicle. - Leverage a combination of machine learning (ML) models and safety metrics from literature to evaluate the end-to-end driving behavior. - Evaluate these metrics on a variety of tests: synthetic and log simulation, on-road logs, closed-course testing data, and third-party accident reconstructions. - Collaborate closely with Systems, Behavior, Perception, Data Science, ### Senior Software Engineer, Collision Avoidance Testing - Nuro - Location: Mountain View, California (HQ) (unspecified) - Salary: $160K-$291K - Posted: 2026-06-08 - Apply: https://nuro.ai/careersitem?gh_jid=7736159 - Excerpt: Senior Software Engineer, Collision Avoidance Testing Mountain View, California (HQ) Who We Are Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world's most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale-empowering a safer, richer, and more connected future. About the Role As a Senior Software Engineer, Collision Avoidance Testing, you will work closely with the onboard autonomy, evaluation infrastructure, data science, operations, and simulation teams to evaluate the performance of the autonomous vehicle in collision avoidance scenarios. You will be responsible for identifying gaps in onroad and simulation tests, designing appropriate tests to fill those gaps, reviewing test outcomes, and iterating on test design. You will analyse the results, recommend product changes, and report on residual risk both to leadership and in the safety case. About the Work - Identify and design realistic scenarios to drive test coverage of collision avoidance scenarios and collision detection scenarios using replay simulations of logs and synthetic simulation of third-party accident reconstructions. - Develop validation strategies to test Automated Emergency Braking functions using simulation and structured testing. - Identify gaps in simulation and public roads testing and design structured test scenarios to address ### ML Scientist I / II, Foundation Models for Life Sciences - Lila Sciences - Location: San Francisco, CA USA (unspecified) - Salary: $176K-$304K - Posted: 2026-04-28 - Learning budget: yes (not source-backed) - Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4222051009 - Excerpt: ML Scientist I / II, Foundation Models for Life Sciences San Francisco, CA USA Your Impact at Lila Lila is building a platform where AI and automation co-evolve to solve the hardest problems in medicine. Within Life Science AI (LSAI), the Foundation Models team researches and develops large-scale generative models and reasoning frameworks that power automated scientific discovery across Lila's life science domains. We are seeking a Scientist I or II to join this team as a contributor to foundation model research at the intersection of machine learning and life science data. You will work on generative models spanning biological sequences, molecular structures, and multimodal experimental data, contributing to problem formulation, model design, training, evaluation, and integration into Lila's closed-loop discovery engine. This is an IC role for someone building deep expertise in generative AI applied to biology. You will own research sub-problems end to end, collaborate closely with experimental scientists to close the computational-experimental loop, and contribute to Lila's presence in the broader scientific community. What You'll Be Building - Contribute to research on foundation models for life science applications, including biological sequence design, structure prediction, and multimodal scientific reasoning - Design, train, and evaluate generative models on biological and chemical data, incorporating domain-specific constraints and priors - Be part of the end-to-end ML process within Lila's "Lab-in-the-Loop" lifecycle: support data generation strategy, build pipeline models, and help design feedback loops where experimental results improve model performance - Translate biological questions into well-defined ML problems and interpret model outputs ### Machine Learning Engineer - Point72 Asset Management - Location: New York (unspecified) - Salary: Not disclosed - Posted: 2025-09-15 - Apply: https://boards.greenhouse.io/point72/jobs/8170176002?gh_jid=8170176002 - Excerpt: Machine Learning Engineer New York About Cubist Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. Role/Responsibilities: We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team. This role will apply the latest AI technologies to solve various real-world problems and streamline day-to-day operations, such as creating a production support AI agent that helps monitor production problems and suggest actions. This role will also work with the AI research group on various projects such as creating synthetic data for training and using MCP agents to streamline research workflow. Requirements: - PhD or PhD candidate in machine learning, computer science or other AI related research fields - Experience with sequential modeling and time series forecasting using deep learning - Experience with deep neural networks and representation learning - Prior experience working in a data driven research environment - Experience with translating mathematical models and algorithms into code - Proficiency in programming languages such as Python and R - Experience with machine learning software libraries such as TensorFlow or PyTorch - Experience implementing Agent or Context engineering is strongly preferred - Experience with natural language processing technology is strongly preferred - Excellent analytical skills, with strong attention to detail - Collaborative mindset with strong ### Computational Scientist - Tamarind Bio - Location: San Francisco | OnSite (onsite) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/tamarindbio/43e3e852-1ab8-4298-ace3-e54c6780afeb - Excerpt: Computational Scientist San Francisco | OnSite ABOUT TAMARIND BIO We enable any scientist to access AI-powered drug discovery. Thousands of scientists from large pharma companies, top biotechs, and academic institutions use Tamarind to design protein drugs, improve industrial enzymes, and create cutting edge molecules that weren't feasible until now. New AI models are quickly eclipsing physics-based tools in computational drug discovery. Scientists often struggle to fine-tune, deploy, and scale these models, leaving breakthroughs on the table. Tamarind provides a simple interface to the vast array of tools being released daily. 💻 ABOUT THE ROLE We're hiring a Computational Scientist to help curate, build, and scale Tamarind's library of AI-powered drug discovery tools. In this role, you'll work closely with the founders and engineering team to operationalize cutting-edge models for structure prediction, protein design, docking, scoring, and other core biological AI workloads. You'll help transform fragmented research tools into production-ready workflows that scientists can run reliably at scale. You'll collaborate directly with customers to understand their discovery challenges and help them leverage Tamarind's platform to run real biological AI pipelines. This often involves chaining multiple tools together, troubleshooting workflows, and identifying opportunities to improve the platform. This role sits at the intersection of computational biology, machine learning, and scientific infrastructure, and is ideal for someone excited about applying the latest advances in AI to real-world drug discovery programs. Our techstack: - Python, PyTorch, TensorFlow, CUDA, Conda, Docker, AWS (EC2, S3, DynamoDB), molecular modeling tools, protein design frameworks, structural biology tooling, APIs ### Senior SAR Engineer - ICEYE - Location: Espoo, Uusimaa, Finland (hybrid) - Salary: Not disclosed - Posted: 2026-04-07 - Apply: https://jobs.ashbyhq.com/iceye/9b5ec773-b73e-4868-9b42-2c4cdf1046d1 - Excerpt: Senior SAR Engineer Espoo, Uusimaa, Finland - Job Title: Senior SAR Engineer - Department: SAR Engineering - Sub Department : SAR Image Processing - Team: SAR - Location: Espoo, Finland - Hiring Manager: Senior Director - SAR Engineering : Darren Muff - Type of employment: Permanent , Hybrid (3 days in the office) Employment is subject to applicable security screening (incl. SUPO) The Mission of the Senior SAR Engineer As a Senior SAR Engineer at ICEYE, your mission is to transform raw radar signals into some of the world's finest-resolution and most advanced SAR imagery. You will work at the intersection of physics, signal processing, and computer science, taking advantage of our large and rapidly growing satellite constellation to push the boundaries of space-based radar sensing. Who We Are ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE's world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world's largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy - day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE's near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring (including ### Senior Scientist, AI Computational Structural Biology - Bristol Myers Squibb - Location: 2 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-06-03 - 401(k) match: listed (not source-backed) - Apply: https://bristolmyerssquibb.wd5.myworkdayjobs.com/BMS/job/Cambridge-Crossing---MA---US/Senior-Scientist--AI-Computational-Structural-Biology_R1603055 - Excerpt: Senior Scientist, AI Computational Structural Biology 2 Locations posted: Posted 9 Days Ago ### Research Engineer - Agency and Reasoning - Zyphra - Location: San Francisco, California, United States (unspecified) - Salary: Not disclosed - Posted: 2026-03-17 - Apply: https://jobs.ashbyhq.com/zyphra/470057a3-171e-49e6-b236-25941e356bf1 - Excerpt: Research Engineer - Agency and Reasoning San Francisco, California, United States Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Research Engineer - Agency and Reasoning , you will be a core contributor to Zyphra's Agency and Reasoning Team. You will be involved with performing novel research in reinforcement learning, post-training, and human preference learning, and applying your ideas at scale to our next generation of language models. What We're Looking For / Requirements: - Strong research taste and intuition - The ability to work through a research project from conception to execution to write-up - Strong implementation and prototyping skillset - A researcher who can take an idea from conception to experimentation extremely quickly - The ability to work well and cooperate with others in a high-paced research setting - Curiosity, interest, and joy in understanding intelligence. Qualifications / Additional Skills: - Experience and aptitude with reinforcement learning, either in the context of language model reasoning or more classical RL tasks - Experience with language-model-supervised fine-tuning and preference-learning methods, such as DPO and simPO. - Experience with context-length extension methods - A good intuitive ability to understand model behaviors and correct them through iterative fine-tuning - Interest in grappling in detail with data and spending significant time involved in data engineering and synthetic data generation - Postgraduate degree in a scientific subject (Computer Science, EE/EECS, Mathematics, Physics) - Previously published machine learning research in well-respected venues - Highly proficient with PyTorch and Python ### Senior Software Engineer, Eye Tracking, Core - Google - Location: San Jose, CA, USA (unspecified) - Salary: $174K-$253K - Posted: 2026-06-09 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckYRTs-wgynUhTyFIQApHn1UyuFUg1eHTXlNxfIVN0KKNEjsACxwdTChWFZs-jvzJu0jG-v9KONq0xMr9WhTQApjWaDGlZMuKe2wxYVgHcHV7-YsDPJzzaBKFv0gBGw%3D%3D_V2&loc=US&title=Senior+Software+Engineer - Excerpt: Senior Software Engineer, Eye Tracking, Core San Jose, CA, USA Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you will develop sensing algorithms to understand the real-world scene within an AR/VR context, optimized for compute-constrained devices. We are looking for a software engineer who can work in the intersection of computer science, computer vision and human vision. You will be expected to design and implement state-of-the art computational eye models that deliver system performance targets, by leveraging scientific knowledge from human vision literature and data statistics. You will work across different engineering teams, including ML/perception, synthetics, human vision, etc. The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well ### Applied ML Scientist (Staff / Principal) - Genesis Molecular AI - Location: San Mateo, CA (unspecified) - Salary: Not disclosed - Posted: 2026-05-19 - Apply: https://jobs.ashbyhq.com/genesis-molecular-ai/b239a6b5-40f2-41fd-93e6-3b7ca2c7eac7 - Excerpt: Applied ML Scientist (Staff / Principal) San Mateo, CA About the Team Join a world-class team at the forefront of AI and biochemistry. At Genesis Molecular AI, we're a tight-knit team of proven deep learning researchers, software engineers, and drug discovery pioneers. Our shared mission is nothing short of revolutionary: to forge the next generation of AI foundation models that will unlock groundbreaking therapies for patients with severe diseases. We don't just apply machine learning to biology; we are conducting fundamental research at the intersection of machine learning, physics, and computational chemistry, pushing the boundaries of each field. You will work side-by-side with top multidisciplinary researchers to design and build generative foundation models at scale, having access to ample compute and large-scale simulations. About the Role This unique role is for a scientist who is passionate about being a catalyst for applying cutting-edge AI to solve real-world drug discovery challenges. You will be the critical bridge between our long-term research and our experimental drug discovery programs. Your mission is to build, evaluate, monitor, and improve our state-of-the-art models directly into active drug programs, leading the charge on model validation, deployment, and analysis to guide the discovery of new medicines. You will act as both a translator and a strategist, ensuring our research is aimed at the most critical challenges and that our drug hunters can leverage the full power of our industry-leading AI platform. This role requires a deep understanding of cheminformatics, computational chemistry, and experimental techniques, strong data science ### Sr.Quality Assurance Engineer (European Language Expert), Alexa Global Quality Team - Amazon - Location: Dublin, IRL (unspecified) - Salary: Not disclosed - Posted: 2026-06-02 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10436869/sr-quality-assurance-engineer-european-language-expert-alexa-global-quality-team - Excerpt: Sr.Quality Assurance Engineer (European Language Expert), Alexa Global Quality Team Dublin, IRL **This role requires fluency (speaking, reading, and writing) in one or more European languages - French, German, Dutch, Polish, Turkish, or Portuguese - as you'll drive quality across Alexa+'s multilingual experience in 100+ countries.** Come join us to launch Alexa+ globally to millions of customers across 100+ countries, solving hard challenges in multilingual, conversational CX evaluation across multimodal experiences spanning text, voice, and visual across many device surfaces. We are solving hard challenges in validation across speech, visual, conversational quality, locale cultural, and linguistic dimensions -building agentic automation tooling that spans the full quality spectrum from synthetic test generation, to LLM-as-a-Judge evaluation, to visual validation using AI, to cultural relevancy classification powered by machine learning. As a Sr. Quality Assurance Engineer in the Alexa Global Quality (AGQ) team, you will own the end-to-end quality of Alexa+ ensuring millions of customers receive a culturally relevant, high-quality experience spanning voice, text, and visual modalities. You'll tackle complex challenges in multilingual conversational CX evaluation - building agentic automation tooling that spans the full quality spectrum from synthetic test generation, to LLM-as-a-Judge evaluation, to visual validation using AI, to cultural relevancy classification powered by machine learning. Our team focuses on expanding Alexa+ globally while maintaining the cultural and linguistic nuances that matter to our diverse customer base. You'll define global test strategies, architect AI-powered evaluation frameworks, and shape how quality is measured across multiple features, endpoints, and languages. Key job responsibilities You ### Ingénieur Conception électronique numérique et FPGA F/H - Thales - Location: Gennevilliers, Hauts-de-Seine, France (unspecified) - Salary: Not disclosed - Posted: 2026-04-14 - 401(k) match: listed (not source-backed) - Apply: https://thales.wd3.myworkdayjobs.com/Careers/job/Gennevilliers/Ingnieur-Conception-lectronique-numrique-et-FPGA-F-H_R0322959-1/apply - Excerpt: Ingénieur Conception électronique numérique et FPGA F/H Gennevilliers, Hauts-de-Seine, France Nous recherchons un ingénieur polyvalent en électronique numérique et FPGA pour rejoindre notre équipe à Gennevilliers. Vous participerez à l'ensemble du cycle de développement de systèmes embarqués critiques, en mettant l'accent sur la conception et la validation. Rejoignez-nous pour travailler sur des projets de haute technologie ! ### Research Scientist, Condensed Matter Theory - Periodic Labs - Location: United States (unspecified) - Salary: $160K-$220K - Posted: 2025-11-12 - Apply: https://jobs.ashbyhq.com/periodic-labs/01d2c4b2-d848-4426-ad5f-7f1052db3a63 - Excerpt: Research Scientist, Condensed Matter Theory United States About Periodic Labs The most important scientific discoveries of our time won't happen in a traditional lab. We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what's scientifically possible. About the Role Join a world-class team of scientists and engineers pushing the boundaries of physics research in a groundbreaking lab where AI, theory, and automation unlock discoveries at unprecedented speed and scale. As a Research Scientist in Condensed Matter Theory, you will use theoretical modeling to connect first-principles calculations and experiments. You will collaborate closely with computational and experimental scientists and ML researchers to develop physical understanding that guides and accelerates the discovery of novel quantum materials. What You'll Do - Develop and apply theoretical models to interpret experimental observations and guide materials discovery efforts - Bridge first-principles calculations (e.g., DFT) and experimental results to build predictive physical understanding - Collaborate with ML researchers to incorporate theoretical insights into machine learning models and inform training data strategies - Work with computational and experimental scientists to design experiments and validate theoretical predictions - Communicate theoretical findings clearly across disciplines and contribute to a shared scientific roadmap You Will Thrive in This Role If You Have - PhD in condensed matter theory, with a focus ### Machine Learning Engineer, Simulation Scenario Generation - Zoox - Location: Foster City, CA (unspecified) - Salary: Not disclosed - Posted: 2025-09-29 - Apply: https://jobs.lever.co/zoox/75488927-aa56-4f3c-a6b2-24a2a53989a9 - Excerpt: Machine Learning Engineer, Simulation Scenario Generation Foster City, CA Do you enjoy applying machine learning to complex, real-world problems in autonomous vehicle testing? The Simulation Scenario Generation team is looking for a ML Engineer to enable next-generation scalable AV scenario creation workflows. This ranges from generating large-scale traffic simulations to extending our agentic AI system to assist in synthetic scenario creation from a natural language test specification. This role offers a unique chance to deliver immediate user impact while contributing to long-term AI-driven safety validation. Do you enjoy applying machine learning to complex, real-world problems in autonomous vehicle testing? The Simulation Scenario Generation team is looking for a ML Engineer to enable next-generation scalable AV scenario creation workflows. This ranges from generating large-scale traffic simulations to extending our agentic AI system to assist in synthetic scenario creation from a natural language test specification. This role offers a unique chance to deliver immediate user impact while contributing to long-term AI-driven safety validation. In this role, you will: - Contribute to tooling for AI-based scenario understanding and validation. - Synthesize realistic AV simulation scenarios with dynamic (e.g., traffic) and static features. - Develop, integrate, and validate ML models (including custom models and off-the-shelf LLMs/VLMs) for complex scenario generation workflows, leveraging techniques like agentic tool use. - Collaborate directly with internal customers and partner teams to provide generative AI solutions for their test creation workflows. - Directly contribute to the safety and reliability of Zoox's autonomous software. Qualifications - MS or PhD in ### Sr. Project Manager, Custom Antibodies - Twist Bioscience - Location: USA - Carlsbad, CA; USA - Portland, OR; USA - South San Francisco, CA (unspecified) - Salary: $128K-$161K - Posted: 2026-06-10 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/twistbioscience/jobs/7846947 - Excerpt: Sr. Project Manager, Custom Antibodies USA - Carlsbad, CA; USA - Portland, OR; USA - South San Francisco, CA Programmable DNA, the software of Life, is finally here! Twist Bioscience is developing a disruptive Synthetic DNA technology that will change the world, enabling widespread health and sustainability. Synthetic biologists will use our products to engineer how organisms produce cures to diseases, make everyday chemicals by using the atmosphere as the carbon source, enable plants to make their own fertilizers, and to create in-vivo diagnostics that alert us when we are sick, and many more applications. Reporting to the Director of Commercial Project Management, the Senior Project Manager, Custom Antibodies will coordinate multiple simultaneous projects for our high-throughput Antibody/IgG offerings. You will manage project execution from the initial inquiry through final delivery. This includes managing communication between several internal departments-Sales, Customer Service, Tech Support, Operations, Product Management, Finance etc-to create quotes/Statements of Work (SOWs) and ensure customers receive proactive updates on their project's progress. What You'll Be Doing Manage End-to-End Coordination: Oversee custom Antibody projects from intake to final delivery, ensuring smooth transitions between quoting, production, and Antibody/data delivery. Design & Quoting: Gather antibody design requirements to ensure quotes and SOWs accurately reflect customer needs, accurate costing, and the production team's capabilities. Track & Report: Prepare quotes and maintain real-time status updates in the project tracker for all issued quotations and active orders. Customer Communication: Serve as the primary contact for project timelines, data quality, and technical updates; respond to inquiries ### Research Engineer (Scaling Multimodal Data) - World Labs - Location: San Francisco (unspecified) - Salary: $200K-$325K - Posted: 2026-03-03 - Apply: https://job-boards.greenhouse.io/worldlabs/jobs/4164503009 - Excerpt: Research Engineer (Scaling Multimodal Data) San Francisco About World Labs: We build foundational world models that can perceive, generate, reason, and interact with the 3D world - unlocking AI's full potential through spatial intelligence by transforming seeing into doing, perceiving into reasoning, and imagining into creating. We believe spatial intelligence will unlock new forms of storytelling, creativity, design, simulation, and immersive experiences across both virtual and physical worlds. We bring together a world-class team, united by a shared curiosity, passion, and deep backgrounds in technology - from AI research to systems engineering to product design - creating a tight feedback loop between our cutting-edge research and products that empower our users. About the Role: We're looking for a research engineer to help improve our in-house world models through better multimodal data. This role is about figuring out what data actually moves model quality - then building the datasets, pipelines, and experiments to prove it. The best generative models aren't just a product of model architecture and compute, they are a product of the training data. The model output reflects someone's obsession over what goes into the data, how it's processed, and what gets thrown away. We're looking for the person who does the obsessing and builds the tools to act on it at scale. This isn't a role where someone hands you a dataset and asks you to clean it. You will decide what data we need, figure out where to get it, build the processing and curation systems, and ### Software Engineer III, Database Systems - Google - Location: Zürich, Switzerland (unspecified) - Salary: Not disclosed - Posted: 2026-05-29 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckfvmoN0vStqApsEGU0H4RmVwDKK9jLyBbDkqI4J2-LLtEjsACxwdTFCAQKqBWqyItvkIAEhitMWBwCTN3cgpoY5SWVvoXoD_sLO-tNVJfTAVg5AFwBUoaxW2LAcApQ%3D%3D_V2&loc=CH&title=Software+Engineer+III - Excerpt: Software Engineer III, Database Systems Zürich, Switzerland Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Android XR Data Generation team's mission within the Syntec organization is to establish a comprehensive data ecosystem that integrates real data collection, synthetic data, GenAI data, and AI-driven annotation to fuel XR AI training. The team is unifying fractured XR data infrastructure into a cohesive end-to-end ecosystem across back-end storage, device ingest, frontend interfaces, and semantic search. The team works on technology to capture and reconstruct real data , and builds the infrastructure to generate synthetic data at scale to support critical XR platforms like AI Glasses. Joining this team offers the exciting opportunity to design, implement, and maintain massive data generation pipelines, integrate ### Generative AI Engineer - ResMed - Location: SG Galaxis (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - 401(k) match: listed (not source-backed) - Apply: https://resmed.wd3.myworkdayjobs.com/Resmed_External_Careers/job/SG-Galaxis/Generative-AI-Engineer_JR_044095-1 - Excerpt: Generative AI Engineer SG Galaxis posted: Posted 30+ Days Ago ### Observability Engineer - Pennymac Financial Services INC - Location: Carrollton, Texas (unspecified) - Salary: $95K-$155K - Posted: 2026-01-06 - 401(k) match: listed (not source-backed) - Learning budget: yes (not source-backed) - Apply: https://careers-pennymac.icims.com/jobs/37182/login - Excerpt: Observability Engineer Carrollton, Texas PENNYMAC Pennymac (NYSE: PFSI) is a specialty financial services firm with a comprehensive mortgage platform and integrated business focused on the production and servicing of U.S. mortgage loans and the management of investments related to the U.S. mortgage market. At Pennymac, our people are the foundation of our success and at the heart of our dynamic work culture. Together, we work towards a unified goal of helping millions of Americans achieve aspirations of homeownership through the complete mortgage journey. Job Overview We're looking for an experienced, forward-thinking Observability Engineer to expand our Observability team in Core Services Engineering, and strengthen our observability capabilities across Pennymac environments. In this role, you will be responsible for designing, implementing, and maintaining our observability platform, with a strong focus on New Relic. You will leverage your expertise in Infrastructure as Code (IaC) to automate and manage our monitoring and alerting infrastructure, ensuring our systems are reliable, performant, and transparent. You will work closely with Core Services, DevOps, Development and Operation teams to foster a culture of proactive monitoring and data-driven decision-making. If you're passionate about automation, cloud-native patterns, and making systems run smarter and safer, we want to hear from you. A Typical Day The Sr Observability Engineer will: Design & Implement Observability Solutions: Architect, build, and scale comprehensive monitoring solutions using the New Relic platform, including APM, Infrastructure, Logs, Synthetics, and custom instrumentation (NRQL). Automate with IaC: Develop, manage, and maintain observability configurations-including alerts, dashboards, and synthetic checks-using Infrastructure ### Research Scientist - Audio Codec - Mirelo AI - Location: Berlin, Germany, Tübingen, Hybrid (hybrid) - Salary: Not disclosed - Posted: 2025-12-03 - Apply: https://jobs.ashbyhq.com/mirelo/55090c78-9dee-4fa3-bf29-c06ad65c0f02 - Excerpt: Research Scientist - Audio Codec Berlin, Germany, Tübingen, Hybrid Mirelo AI is building the next generation of creative tools by generating realistic sound, speech and music from video. We develop cutting-edge foundational generative AI models that "unmute" silent video content and create custom, hyper-realistic audio for gaming, video platforms, and creators. Our technology empowers global storytellers to transform their content. We recently closed a $41 million Seed round co-led by Andreessen Horowitz and Index Ventures with participation from Atlantic, and are rapidly expanding across Product, Engineering, Go-to-Market, and Growth. About the Role At Mirelo, we're pushing the limits of what generative audio can do, and our ability to innovate depends heavily on the quality of our underlying audio representations. In this role, you'll work at the core of our modeling stack - designing, training, and evaluating neural audio codecs that directly shape the performance of our next-generation music and sound models. You'll collaborate closely with the model team, experiment with both continuous and discrete representations, and build the evaluation tools that help us understand what actually moves the needle. Your work will sit at the foundation of building the best-sounding generative models in the world. Key Responsibilities - Develop and implement new neural audio codecs for sound, music and speech that push the state-of-the art in sound quality and are optimized for the the use case of generative models. - Think about the specific challenges that arise when the codec is primarily used as a latent representation in the context ### AI Applied Scientist - Figma, Inc. - Location: San Francisco, CA • New York, NY • United States (unspecified) - Salary: $153K-$376K - Posted: 2025-12-17 - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Mental health support: yes (not source-backed) - Apply: https://boards.greenhouse.io/figma/jobs/5707966004?gh_jid=5707966004 - Excerpt: AI Applied Scientist San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma's platform helps teams bring ideas to life-whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We're looking for applied scientists with a Machine Learning and Artificial Intelligence background to build AI technologies and make Figma products more magical.. You will be driving fundamental and applied research in this area. You will be combining industry best practices and a first-principles approach to design and build AI/ML models and systems to improve Figma's products. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: - You will be driving fundamental and applied research in AI. You will explore the boundaries of what is possible with the current technology set to build best in class models for Figma's domains - You will be combining industry best practices and a first-principles approach to build cutting edge Generative AI models, using techniques like Supervised Finetuning (SFT), Reinforcement Learning (RL), prompt improvements and synthetic data generation - Work in concert with product and infrastructure engineers ### Senior Data Scientist, Growth - Fal - Location: San Francisco (unspecified) - Salary: $190K-$230K - Posted: 2026-05-13 - Apply: https://job-boards.greenhouse.io/fal/jobs/4247110009 - Excerpt: Senior Data Scientist, Growth San Francisco fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. About this role: As a Senior Data Scientist for Growth at fal, you won't be inheriting a mature growth analytics stack - you'll be building one. Our marketing function is early: we're just beginning to stand up performance marketing, hiring our first dedicated marketers, and establishing the foundational taxonomy, instrumentation, and measurement frameworks that will power our growth for years to come. You'll be the analytical co-founder of our growth motion, working alongside marketing leadership and company leadership to define how we measure, evaluate, and scale fal's acquisition from the ground up. If you've ever wished you could design a company's growth analytics layer before the bad habits set in, this is that role. What you'll do - Build fal's growth measurement foundation - define the event taxonomy, attribution model, channel hierarchy, and reporting infrastructure that the entire marketing org will run on. ### Applied Scientist, Amazon Compliance and Safety Services - Amazon - Location: Bucharest, ROU (unspecified) - Salary: Not disclosed - Posted: 2026-04-15 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10392694/applied-scientist-amazon-compliance-and-safety-services - Excerpt: Applied Scientist, Amazon Compliance and Safety Services Bucharest, ROU Amazon's Compliance and Safety Services (CoSS) Team is looking for a smart and creative Applied Scientist to apply and extend state-of-the-art research in NLP, multi-modal modeling, domain adaptation, continuous learning and large language model to join the Applied Science team. At Amazon, we are working to be the most customer-centric company on earth. Millions of customers trust us to ensure a safe shopping experience. This is an exciting and challenging position to drive research that will shape new ML solutions for product compliance and safety around the globe in order to achieve best-in-class, company-wide standards around product assurance. You will research on large amounts of tabular, textual, and product image data from product detail pages, selling partner details and customer feedback, evaluate state-of-the-art algorithms and frameworks, and develop new algorithms to improve safety and compliance mechanisms. You will partner with engineers, technical program managers and product managers to design new ML solutions implemented across the entire Amazon product catalog. Key job responsibilities As an Applied Scientist on our team, you will: - Research and Evaluate state-of-the-art algorithms in NLP, multi-modal modeling, domain adaptation, continuous learning and large language model. - Design new algorithms that improve on the state-of-the-art to drive business impact, such as synthetic data generation, active learning, grounding LLMs for business use cases - Design and plan collection of new labels and audit mechanisms to develop better approaches that will further improve product assurance and customer trust. - Analyze ### Senior Scientist Process - Johnson & Johnson - Location: Schaffhausen, Switzerland (unspecified) - Salary: Not disclosed - Posted: 2026-06-05 - 401(k) match: listed (not source-backed) - Apply: https://jj.wd5.myworkdayjobs.com/JJ/job/Schaffhausen-Switzerland/Senior-Scientist-Process_R-079757 - Excerpt: Senior Scientist Process Schaffhausen, Switzerland posted: Posted 7 Days Ago ### Computer Vision Specialist - Freelance AI Trainer Project - Agency - Location: United States of America (unspecified) - Salary: $8-$65/hr - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/agency/jobs/4666572101 - Excerpt: Computer Vision Specialist - Freelance AI Trainer Project United States of America Are you an experienced Homography specialist eager to shape the future of AI? Large-scale language models and computer vision systems are evolving rapidly, moving beyond basic perception into advanced mathematical modeling, spatial reasoning, and applied problem-solving. With high-quality training data, tomorrow's AI can deliver more accurate, reliable, and innovative solutions across fields such as robotics, augmented reality, 3D reconstruction, and visual mapping. That training data begins with you-your expertise will help power the next generation of AI. We're looking for a Homography specialist who can bring mathematical precision, domain knowledge, and practical problem-solving skills to training data. You'll work with cutting-edge AI tools, evaluate and refine outputs, and provide feedback on homography transformations, projective geometry, multi-view consistency, and real-world applications in vision and graphics. On a typical day, you will review and annotate AI-generated content, assess responses for correctness and clarity, identify reproducible error patterns, and collaborate with our team to refine prompts, evaluation methods, and domain-specific guidelines. Tasks may include selecting and labeling static points across images, conducting manual and synthetic homographies, validating transformation accuracy, and documenting error behavior for model improvement. Foundational knowledge of homography and projective geometry is required, supported by coursework, research, or applied experience in computer vision, robotics, graphics, or related fields. A degree in mathematics, computer science, or engineering is a plus. Strong analytical ability, clear communication skills, and attention to detail are essential. Ready to channel your homography expertise into building ### AI Scientist - Biomedical Multimodal Modeling - Xaira - Location: South San Francisco, California, United States (unspecified) - Salary: $170K-$240K - Posted: 2026-05-04 - Apply: https://job-boards.greenhouse.io/xairatherapeutics/jobs/5036777007 - Excerpt: AI Scientist - Biomedical Multimodal Modeling South San Francisco, California, United States About Xaira Therapeutics Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development. Xaira is headquartered in the San Francisco Bay Area, Seattle, and London. About the Role We are building foundation models for biological systems, focusing on learning from complex, multimodal data. Our approach combines representation learning and generative modeling to capture structure, variation, and latent organization in high-dimensional settings. We work with both image-based data and high-dimensional molecular (omics) measurements, treating them as complementary views of the same underlying system. Our goal is to develop models that can both encode rich representations and generate or infer missing aspects from partial observations. What You'll Do - Develop multimodal foundation models spanning image and molecular data - Design approaches that unify representation learning and generative modeling - Train large-scale models on structured, high-dimensional datasets - Explore cross-modal alignment, prediction, and generation - Build scalable systems for data processing, training, and evaluation - Work in a research-driven environment with evolving problem definitions What We're Looking For Strong background in deep ### Scientist I/II, Process Chemistry - Lila Sciences - Location: Cambridge, MA USA (unspecified) - Salary: $108K-$170K - Posted: 2026-03-25 - Learning budget: yes (not source-backed) - Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4192775009 - Excerpt: Scientist I/II, Process Chemistry Cambridge, MA USA Your Impact at LILA The Scientist I/II, Process Chemistry will develop and apply modern process chemistry approaches to support Discovery Chemistry efforts across Lila's platform, with a focus on reaction/reactor engineering, process design, high-throughput experimentation, and digitalized chemistry workflows for small molecules and related molecular matter. This role is intended for a hands-on scientist who combines strong foundations in synthetic and process chemistry with an engineering mindset and experience building practical, scalable, and data-rich experimental workflows. Working closely with Discovery Chemistry, analytical chemistry, automation, platform engineering, and AI/computational teams, this scientist will design, execute, and optimize reaction and process workflows that improve the speed, robustness, and scalability of chemical transformations. The Scientist I/II will help bridge early discovery chemistry and modern process development by establishing experimentally efficient, digitally enabled, and automation-compatible approaches to reaction screening, process optimization, and chemistry execution. This role is ideal for a scientist excited by the intersection of chemistry, engineering, high-throughput platforms, process intensification, and digital experimentation , and who wants to help shape next-generation process chemistry capabilities beyond traditional bench development. What You'll Be Building - Design, execute, and optimize process-relevant chemical transformations that support Discovery Chemistry programs and the generation of small molecules. - Develop reaction and process workflows with emphasis on engineering rigor, scalability, reproducibility, throughput, and data quality . - Apply high-throughput experimentation (HTE) to reaction screening, process optimization, condition scouting, and evaluation of process-relevant variables. - Build and execute workflows that connect reaction setup, ### CoDesign & NextGen - New College Grad - Cerebras Systems - Location: Sunnyvale, CA (unspecified) - Salary: $145K-$155K - Posted: 2026-01-07 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7580399003 - Excerpt: CoDesign & NextGen - New College Grad Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role Engineers in the CoDesign and NextGen organization work at the interface of software and hardware helping everything from high performance kernel design, next generation ASIC performance modeling and tuning, new system bringup and software tuning, system robustness and simulations. As an new engineer you'll be expected to learn the Cerebras products and platforms end to end starting at the base layer of programming the Wafer Scale Engine through kernel development, modeling performance for our software products and validating the work ### Senior Data Engineer, Geospatial - ICEYE - Location: Espoo, Uusimaa, Finland (hybrid) - Salary: Not disclosed - Posted: 2026-04-16 - Apply: https://jobs.ashbyhq.com/iceye/9e9c0972-2dd4-4fab-96be-299fc13e8f9f - Excerpt: Senior Data Engineer, Geospatial Espoo, Uusimaa, Finland Description Role highlights: - Senior Data Engineer, Geospatial - Location: Espoo, Finland - Department: Solutions - Reports to: Director of Product Engineering - Employment type: Permanent - Workplace model: Hybrid - Employment is subject to applicable security screening (incl. SUPO, where required) Why this role matters: Our ICEYE Solutions analytical products are powered by a geospatial data platform that joins satellite-derived observations with terrain, weather, and other third-party datasets. We are scaling this platform significantly in geographic coverage, breadth of data sources, and the demands placed on it by our data science teams. We are looking for a Senior Data Engineer to transform our geospatial engine into an analytics platform capable of continent-wide analytics. Your success in this role will be measured by the reliability and performance of the data structures you build, enabling us to process diverse datasets across millions of locations. We operate with a high-velocity, incremental delivery mindset, leveraging AI-assisted development to move fast without compromising on engineering integrity. We want an environment where testing new geospatial hypotheses is fast and reliable. Your job is to build that foundation, a platform where we can iterate at a high tempo and then systematically turn successful experiments into a continent-wide, production-grade analytical core. Who We Are ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE's world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data ### Research Scientist - Hedra - Location: San Francisco, California, United States (unspecified) - Salary: Not disclosed - Posted: 2026-04-15 - 401(k) match: listed (not source-backed) - Apply: https://jobs.ashbyhq.com/hedra/0558c340-1810-4a6f-8f23-8a46952f488d - Excerpt: Research Scientist San Francisco, California, United States Overview: Hedra is building a world-class Physical AI research team to push the boundaries of action-conditioned world models and generative AI for physical systems. As a Researcher, you will drive original research into the intersection of generative modeling, embodied AI, and real-world physical applications alongside industrial partners. You will have access to large-scale compute, the freedom to pursue high-impact research directions, and a direct path to publication at top venues. We are looking for researchers who are excited to go beyond benchmarks and build models that operate in the real world - drawing on Hedra's leadership in generative modeling and the depth of our academic partnerships, including connections to Fei-Fei Li and the Stanford Vision & Learning Lab. Responsibilities: - Define and lead research directions in action-conditioned world models, physical AI, and generative modeling for embodied systems - Design novel architectures, training objectives, and evaluation frameworks for VLMs, VLAs, and world models - Direct research efforts with the goal of publishing in top journals. - Partner with industrial collaborators to ground research in real-world physical AI use cases - Mentor research engineers and collaborate cross-functionally to move research into production - Stay at the frontier of the field - synthesizing relevant literature and identifying opportunities for impactful contributions - Contribute to Hedra's research culture and external scientific reputation Qualifications: - PhD in Machine Learning, Computer Science, Robotics, or a related field, with publications at top ML or robotics venues - Deep expertise in ### Director or Senior Director, API Development - Celcuity - Location: Remote (remote) - Salary: $220K-$240K - Posted: 2026-06-04 - Apply: https://job-boards.greenhouse.io/celcuity/jobs/4227221009 - Excerpt: Director or Senior Director, API Development Remote Position Summary: We are seeking a Director or Senior Director, API Development, who will report to the Executive Director of Pharmaceutical Development. You will be the technical expert for current API synthesis production and will lead creation, optimization, and management of additional API entities as part of new compound/formulation development activities. Responsibilities: Provide leadership and technical guidance for selection, transfer, and management of new CDMO manufacturing activities. Lead current drug substance manufacturing process and optimize for continuous improvement of material. Support ongoing CDMO manufacturing activities and troubleshoot issues and non-conformities. Determine and resolve gaps for regulatory compliance with drug substance manufacturing and development. Support formulation development with drug substance optimization, impurity identification, and pre-clinical study coverage involvement. Author and review drug substance IND-enabling protocols, reports, and regulatory submissions. Engage and support formulation development with new entity optimization and synthetic route creation/advancement. Produce intellectual patent assessments and complete development projects intended for furthering IP generation. Other duties as assigned. Qualifications: PhD, Master's, or Bachelor's degree in a physical science field, ideally chemistry, chemical engineering, or biomanufacturing. ≥ 8 years in small molecule medicinal chemistry, API development, and/or manufacturing. Experienced with early development activities including IND-enabling development and authoring. Managed CDMOs for initial development, manufacturing, process validation, and transfer activities. Knowledge of analytical technologies including LC, GC, NMR, MS, XRPD, and other relevant methodologies used for elucidation and purity determination. Well-informed of FDA, EU, and ICH guidelines for drug substance manufacturing and quality assurance. Excellent ### Forward Deployed Engineer, Physics & Simulation - Periodic Labs - Location: Menlo Park, California, United States (unspecified) - Salary: $180K-$250K - Posted: 2026-06-03 - Apply: https://jobs.ashbyhq.com/periodic-labs/1bab7e17-20fd-4b82-a152-98b96375a626 - Excerpt: Forward Deployed Engineer, Physics & Simulation Menlo Park, California, United States About Periodic Labs The most important scientific discoveries of our time won't happen in a traditional lab. We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what's scientifically possible. About the Role Periodic Labs is deploying AI-driven simulation to solve some of the hardest physical process optimization problems in advanced manufacturing. As a Forward Deployed Engineer focused on physics and simulation, you will be the technical engine behind our most demanding customer engagements - spending significant time on-site, embedding directly with customer teams, and owning the end-to-end simulation workflow that makes our platform work in the real world. You will work alongside our internal modeling and ML teams to build, calibrate, and iterate on physics-based simulations, translate customer process knowledge into computational models, and drive iterative recipe optimization with direct feedback loops to production. This is a hands-on, high-ownership role at the frontier of AI for physical science. Willingness to travel to and spend extended time on-site in Taiwan is required. What You'll Do - Own the simulation workflow end-to-end for customer engagements - from model setup and calibration to iterative recipe optimization and results interpretation - Build, run, and debug physics-based simulations of complex physical processes, including multiphase ### Image Scientist - Camera Simulation - Apple - Location: San Francisco Bay Area, United States of America (unspecified) - Salary: $147K-$221K - Posted: 2026-06-05 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200666900/image-scientist-camera-simulation?team=HRDWR - Excerpt: Image Scientist - Camera Simulation San Francisco Bay Area, United States of America Do you love taking on big challenges that require exceptionally creative solutions? Do you deeply understand how an incredible camera experience should work? As part of our Camera Technologies group, you'll help design the innovative technology that allows each generation of Apple products to produce photos even more incredible than the last. You'll design and develop groundbreaking ideas for everything involved in our camera systems, from sensor to lens. You'll collaborate with teams across Apple to research, design, develop, test, and qualify camera hardware for Apple products. Together, we'll craft a magical photography experience that redefines what millions of customers can expect from their cameras. The Image Sciences team, a part of the Camera Hardware and Depth Team, develops novel metrology, calibration, and simulation processes to enable the implementation and architecture of machine-vision-driven and photographic experiences. We collaborate closely with cross-functional teams to define hardware design specifications and key performance metrics to deliver seamless user experiences. The team is seeking an expert in imaging, computer vision, or rendering with broad skills to help develop next-generation, high-throughput simulation frameworks to guide the design and architecture of products, including AR/VR features. As an Image Scientist on the Camera & Depth Architecture team, you will design, develop, and maintain high-throughput simulation frameworks to generate large volumes of synthetic imagery on-demand, and build and refine models of camera systems-from sensor to lens-to simulate real-world imaging performance. Collaborate with cross-functional teams to ### Research Engineer / Research Scientist (Post-training) - Ideogram - Location: Toronto, Ontario, Canada, New York (unspecified) - Salary: Not disclosed - Posted: 2026-06-03 - Apply: https://jobs.ashbyhq.com/ideogram/5b79fca0-3f2b-4265-9e40-7daffb47dbb4 - Excerpt: Research Engineer / Research Scientist (Post-training) Toronto, Ontario, Canada, New York About Ideogram Ideogram's mission is to make world-class design accessible to everyone, multiplying human creativity. We build proprietary generative media models and AI native creative workflows, tackling unsolved challenges in graphic design. Our team includes builders with a track record of technology breakthroughs including early research in Diffusion Models, Google's Imagen, and Imagen Video. We care about design, taste, and craft as much as research and engineering - shipping experiences that creatives actually love. We've raised nearly $100M, led by Andreessen Horowitz and Index Ventures. Headquartered in Toronto with a growing team in NYC, we're scaling fast, aiming to triple over the next year. We're a flat team with a culture of high ownership, collaboration, and mentorship. Explore Ideogram 4.0 , Enterprise , API , Open Source , Character and Custom Models blog posts, and try Ideogram at ideogram.ai . The Opportunity In this role, you will develop the post-training pipeline for our text-to-image foundation models end to end, from data strategy to deployment, advancing techniques such as RLHF, RLAIF, and work on personalization/customization. You will contribute to post-training research that drives measurable gains, and implement and maintain high-throughput fine-tune/eval pipelines. You'll work with a creative and ambitious team of engineers and researchers who are building the future of the creative economy. What We're Looking For - 5+ years of experience in developing machine learning models in JAX, PyTorch, or TensorFlow. - Experience in implementing Machine Learning foundations ( ### Senior Principal Research Scientist Engineering - AbbVie Inc. - Location: North Chicago, IL, United States (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - Parental leave: 12 weeks (not source-backed) - Non-birth-parent leave: 12 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://jobs.smartrecruiters.com/AbbVie/3743990012996791-senior-principal-research-scientist-engineering - Excerpt: Senior Principal Research Scientist Engineering North Chicago, IL, United States Company Description: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. R&D Process Engineering Organization, a part of AbbVie's Development Sciences organization, is responsible for designing and developing scalable processes to make drug substances and drug products, including synthetics molecules, antibody drug conjugates (ADCs) and genetic medicines, throughout pre-clinical and clinical development stages. Process Engineering also partners with Biologics CMC (Chemistry, Manufacturing, and Controls) Development and Aesthetics R&D functions to provide active engineering support to enable robust process scale-up and manufacturing of biologics drug substances and drug products including toxins and cosmetic active ingredients (CAIs). It drives the development of innovative engineering technologies and creates valuable intellectual property through the composition of matter and chemical/bio-chemical processes resulting in cost-effective commercial manufacturing processes for quality products. Process Engineering organization also supports the scale-up in the pilot plants and supply chain development for pipeline molecules and supports the justification of CMC regulatory content. Job Description: Role Overview The successful Process Engineering candidate will play a key technical team leader role in the R&D ### AI Research Scientist (Generative Models for Scientific Discovery) - Applied Materials - Location: Santa Clara,CA (unspecified) - Salary: Not disclosed - Posted: 2026-05-28 - 401(k) match: listed (not source-backed) - Apply: https://amat.wd1.myworkdayjobs.com/External/job/Santa-ClaraCA/AI-Research-Scientist--Generative-Models-for-Scientific-Discovery-_R2620768 - Excerpt: AI Research Scientist (Generative Models for Scientific Discovery) Santa Clara,CA posted: Posted 15 Days Ago ### Research Scientist, AI, Formal and informal Reasoning - Meta - Location: Paris, France (unspecified) - Salary: Not disclosed - Posted: 2026-06-07 - 401(k) match: listed (not source-backed) - Apply: https://www.metacareers.com/jobs/2795534280796080/ - Excerpt: Research Scientist, AI, Formal and informal Reasoning Paris, France Meta is seeking a Research Scientist to join its Fundamental AI Research (FAIR) organization, focused on making significant advances in LLMs reasoning, using reinforcement learning, synthetic data generation and advanced scaffolding/agentic techniques, partially with a focus on formal and informal maths. You will have the opportunity to work with a broad and highly interdisciplinary team of scientists, engineers, and cross-functional partners, and will have access to cutting edge technology, important resources, and research facilities. Responsibilities: - Lead, collaborate, and execute on research that pushes forward the state of the art in reasoning research, with an initial focus on formal and informal mathematical reasoning - Work towards long-term high-stakes research goals, while identifying intermediate milestones - Directly contribute to experiments, including designing experimental details, implement reusable code, running evaluations, and organizing results - Contribute to publications and open-sourcing efforts - Mentor other team members. Play a significant role in healthy cross-functional collaboration Minimum qualifications: - Holds a PhD in the field of Computer Science, Mathematics, or similar quantitative field - Experience training and evaluating large models on State-of-the-Art codebases and developing new architectures, losses and training recipes - First-author publications at peer-reviewed AI conferences (e.g. NeurIPS, ICML, ICLR) - Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use - Experience working with SOTA Reinforcement Learning codebases and familiarity with one or more Machine Learning frameworks (e.g. pytorch, VERL, …) - Must obtain work authorization in the country of employment ### AI Research Scientist (Generative Models for Scientific Discovery) - Applied Materials - Location: Santa Clara,CA (unspecified) - Salary: Not disclosed - Posted: 2026-06-01 - 401(k) match: listed (not source-backed) - Apply: https://amat.wd1.myworkdayjobs.com/External/job/Santa-ClaraCA/AI-Research-Scientist--Generative-Models-for-Scientific-Discovery-_R2611980-1 - Excerpt: AI Research Scientist (Generative Models for Scientific Discovery) Santa Clara,CA posted: Posted 11 Days Ago ### Homography Specialist - Freelance AI Trainer Project - Agency - Location: United States of America (unspecified) - Salary: $8-$65/hr - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/agency/jobs/4666570101 - Excerpt: Homography Specialist - Freelance AI Trainer Project United States of America Are you an experienced Homography specialist eager to shape the future of AI? Large-scale language models and computer vision systems are evolving rapidly, moving beyond basic perception into advanced mathematical modeling, spatial reasoning, and applied problem-solving. With high-quality training data, tomorrow's AI can deliver more accurate, reliable, and innovative solutions across fields such as robotics, augmented reality, 3D reconstruction, and visual mapping. That training data begins with you-your expertise will help power the next generation of AI. We're looking for a Homography specialist who can bring mathematical precision, domain knowledge, and practical problem-solving skills to training data. You'll work with cutting-edge AI tools, evaluate and refine outputs, and provide feedback on homography transformations, projective geometry, multi-view consistency, and real-world applications in vision and graphics. On a typical day, you will review and annotate AI-generated content, assess responses for correctness and clarity, identify reproducible error patterns, and collaborate with our team to refine prompts, evaluation methods, and domain-specific guidelines. Tasks may include selecting and labeling static points across images, conducting manual and synthetic homographies, validating transformation accuracy, and documenting error behavior for model improvement. Foundational knowledge of homography and projective geometry is required, supported by coursework, research, or applied experience in computer vision, robotics, graphics, or related fields. A degree in mathematics, computer science, or engineering is a plus. Strong analytical ability, clear communication skills, and attention to detail are essential. Ready to channel your homography expertise into building the ### Software Graduate Intern, Autonomous Lab - Ginkgo Bioworks - Location: Emeryville, California (unspecified) - Salary: $45K-$64K - Posted: 2026-01-28 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/ginkgobioworks/jobs/5033171007 - Excerpt: Software Graduate Intern, Autonomous Lab Emeryville, California Our mission is to make biology easier to engineer. Ginkgo is constructing, editing, and redesigning the living world in order to answer the globe's growing challenges in health, energy, food, materials, and more. Our bioengineers make use of an in-house automated foundry for designing and building new organisms. About the Role: Ginkgo Bioworks is constructing the world's first "Total Autonomous Lab"-a facility where scientific work is requested by code and executed by robots, 24/7. We are looking for a Software Intern to help build the digital brain of this lab. You will work with Catalyst , our proprietary software stack that orchestrates fleets of Reconfigurable Automation Cells (RACs). This role is ideal for software engineers who want to apply their skills to physical systems or computational biologists who want to move beyond analysis into autonomous execution. Responsibilities: - Enable "Protocols as Code": Develop and refine Python-based protocols using the Catalyst Client to control liquid handlers, plate readers, and robotic arms. - Build the AI Scientist: Assist in the development of Catalyst Agent , our LLM-based interface that allows scientists to launch experiments using natural language. - Integrate Lab Data: Work on data pipelines that automatically harvest, structure, and upload experimental data from RACs into our data lake for AI model training. - Develop Device Drivers: Help integrate new hardware instruments into the Catalyst ecosystem, writing the drivers that allow our software to "talk" to new lab tools. Preferred Qualifications: - Recent graduate (BS/MS) ### Senior SimOps Engineer - Apptronik - Location: Onsite - Austin, TX (onsite) - Salary: Not disclosed - Posted: 2026-02-12 - Apply: https://boards.greenhouse.io/apptronik/jobs/5802428004?gh_jid=5802428004 - Excerpt: Senior SimOps Engineer Onsite - Austin, TX Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond. We operate at the cutting edge of embodied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better. JOB SUMMARY Apptronik is seeking a SimOps Engineer to architect and maintain the large-scale simulation infrastructure required for Apollo, our general-purpose humanoid robot. In this role, you will apply high-fidelity simulation rigor to humanoid robotics, managing the lifecycle of virtual environments used for locomotion, dexterous manipulation, and synthetic data collection. You will build the scalable frameworks and automated pipelines that allow our teams to perform system-level optimization and reliability analysis, ensuring that virtual testing accurately mirrors the real-world physical performance of Apollo. ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES - Humanoid Simulation Frameworks: Architect and implement scalable, highly-available simulation frameworks. These should support high-fidelity humanoid dynamics, including complex joint interactions and balance controllers, while enabling domain randomization and synthetic data generation. - HPC & Cloud Orchestration: Deploy and manage High-Performance Computing (HPC) clusters (e.g., GCP, on-prem) to enable sub-24-hour turnaround for ### Material Synthesis & Characterization Technologist - Exxon Mobil Corporation - Location: Alternate Job Posting Location | Job City/State (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - 401(k) match: listed (not source-backed) - Apply: https://jobs.exxonmobil.com/job/Spring-Material-Synthesis-&-Characterization-Technologist-TX-77389/1388940300/ - Excerpt: Material Synthesis & Characterization Technologist Alternate Job Posting Location | Job City/State About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world's largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society's evolving needs. Learn more about our What and our Why and how we can work together. About Houston ExxonMobil's state-of-the-art campus north of Houston serves as home to its Upstream, Product Solutions and Low Carbon Solutions businesses and their associated service groups. The facility opened in 2014 and accommodates more than 10,000 employees and visitors. By bringing many global functional groups together, the campus provides employees with the tools and capabilities needed today, and in the future, to achieve business objectives and accelerate the discovery of new resources, technologies and products. It was designed to foster improved collaboration, creativity and innovation and enhance the company's ability to attract, develop and retain the top talent in the industry. The campus ### Medical Science Liaison / Senior Medical Science Liaison (Midwest) - Verastem Inc - Location: Location not specified (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - 401(k) match: listed (not source-backed) - Apply: https://verastem.bamboohr.com/careers/245 - Excerpt: Medical Science Liaison / Senior Medical Science Liaison (Midwest) Medical Science Liaison / Senior Medical Science Liaison (Midwest) ### Research Scientist, Interpretability - Anthropic - Location: San Francisco, CA (unspecified) - Salary: $350K-$850K - Posted: 2025-11-07 - Apply: https://job-boards.greenhouse.io/anthropic/jobs/4980427008 - Excerpt: Research Scientist, Interpretability San Francisco, CA About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?" The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe. We're looking for researchers and engineers to join our efforts. People mean many different things by "interpretability". We're focused on mechanistic interpretability, which aims to discover how neural network parameters map to meaningful algorithms. Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks using “microscopes” we build, or as treating neural networks as binary computer programs we're trying to "reverse engineer". A few places to learn more about our work and team at a high level are this introduction to Interpretability from our research lead, Chris Olah ; a discussion of our work on the Hard Fork podcast produced by the New York Times, and this blog post (and accompanying video) sharing more about some of the engineering challenges we'd had to solve to get ### Data Science Consultant, Discovery & Translational Science - Clarivate - Location: Spain - Barcelona (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Apply: https://clarivate.wd3.myworkdayjobs.com/Jobs/job/Spain---Barcelona/Data-Science-Consultant--Discovery---Translational-Science_JREQ135291-2 - Excerpt: Data Science Consultant, Discovery & Translational Science Spain - Barcelona posted: Posted 30+ Days Ago ### Applied Science Operations Lead , Fauna - Amazon - Location: New York, New York, USA (unspecified) - Salary: $198K-$268K - Posted: 2026-06-11 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10445485/applied-science-operations-lead-fauna - Excerpt: Applied Science Operations Lead , Fauna New York, New York, USA We are seeking an Applied Science Operations Lead to serve as a strategic partner to the Director of Applied Science. This is a high-agency role at the intersection of science strategy and operational excellence. You will shape how our Applied Science organization structures its research portfolio, allocates resources across workstreams, and delivers on its most ambitious goals. This is not a coordination role. You will independently identify the highest-leverage problems facing the science organization, develop frameworks for solving them, and drive outcomes. You will co-author the science strategy, build the operational rhythms that keep the organization focused, and represent Applied Science to cross-functional partners. The right candidate brings deep scientific fluency, strong judgment about where to invest, and the operational instincts to turn strategy into execution. Key job responsibilities - Structure and manage the Applied Science portfolio - ensure workstreams are well-defined, resourced, and progressing. Identify gaps, redundancies, and reallocation opportunities across the research agenda. - Serve as a thought partner to the Director of Applied Science on research direction, hiring priorities, investment tradeoffs, and organizational design. - Author key documents - science strategy narratives, investment cases, org-level roadmaps, and leadership updates. These are persuasive artifacts that shape decisions, not status reports. - Design and own the cadences that keep the science org aligned - planning cycles, review forums, cross-team syncs. Own the structure, not just the logistics. - Act as the primary interface between Applied Science and partner ### Leading Data-Driven Lab for AI Medicines - Inceptive - Location: Palo Alto, CA (unspecified) - Salary: $245K-$305K - Posted: 2026-02-24 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/inceptive/jobs/5060348007 - Excerpt: Leading Data-Driven Lab for AI Medicines Palo Alto, CA At Inceptive, you will help pioneer the next generation of AI-designed drugs, with the potential to positively impact billions of people, as part of a collaborative, antedisciplinary team. Training on natural and experimentally-derived data is a core aspect of how our AI models learn to generate therapeutic molecules with exceptional properties. We invest deeply in building and scaling data sources to train and evaluate our models for maximal performance. At the same time, careful validation in orthogonal, translationally-relevant assays is crucial to orient our models. We are seeking a senior scientific leader versed in high-throughput and translational biology to drive the continued growth and impact of our Palo Alto Lab. You will be a force multiplier for our scientists and engineers, ensuring a high standard of scientific rigor and output in a fast-paced, dynamic environment. You will also interface closely with our AI team to maximize the impact of internal data on Inceptive's foundation models. Your Mission, should you choose to accept it - Lead development and scale-up of high-throughput assays across in vitro, cellular, and in vivo systems, leveraging multiplexed assays and laboratory automation - Define and execute a lab strategy aligned with Inceptive's therapeutic and platform priorities, while remaining flexible as modality and partnership needs evolve - Champion an antedisciplinary culture, encouraging curiosity, rigor, and collaboration across scientific boundaries - Manage, mentor, and develop a multidisciplinary team of scientists and engineers that rapidly generates high-impact biological data to improve ### Head of Clinical Data Science, Alexion Quantitative Sciences - AstraZeneca - Location: US - Boston - MA (unspecified) - Salary: Not disclosed - Posted: 2026-06-09 - 401(k) match: listed (not source-backed) - Apply: https://astrazeneca.wd3.myworkdayjobs.com/Careers/job/US---Boston---MA/Head-of-Clinical-Data-Science--Alexion-Quantitative-Sciences_R-253581 - Excerpt: Head of Clinical Data Science, Alexion Quantitative Sciences US - Boston - MA posted: Posted 3 Days Ago ### Sr Scientist - Advanced Pre-formulation and Modelling - Haleon - Location: Richmond Sherwood, Richmond, Virginia, United States of America (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - Apply: https://careers.haleon.com/careers/job/563705891392074 - Excerpt: Sr Scientist - Advanced Pre-formulation and Modelling Richmond Sherwood, Richmond, Virginia, United States of America ### Medical Science Liaison/Sr Medical Science Liaison (Asthma) - Pittsburgh, PA - AstraZeneca - Location: 2 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-06-01 - 401(k) match: listed (not source-backed) - Apply: https://astrazeneca.wd3.myworkdayjobs.com/Careers/job/US---PIttsburgh---PA/Medical-Science-Liaison-Sr-Medical-Science-Liaison--Asthma----Pittsburgh--PA_R-253428-1 - Excerpt: Medical Science Liaison/Sr Medical Science Liaison (Asthma) - Pittsburgh, PA 2 Locations posted: Posted 11 Days Ago ### SLS Materials Scientist - Formlabs - Location: Somerville, MA (unspecified) - Salary: $75K-$115K - Posted: 2026-06-09 - Apply: https://careers.formlabs.com/job/7992569/apply/?gh_jid=7992569 - Excerpt: SLS Materials Scientist Somerville, MA About Formlabs: Do you want to change how the world creates? At Formlabs, we're building the tools that make it possible for anyone to bring their ideas to life, from cutting-edge products to life-saving medical devices. Our 3D printing technology powers innovation at more than 50,000 industry leaders worldwide, including Apple, Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and manufacture faster than ever before. We're a team of hands-on builders, engineers, and innovators reinventing how the world makes physical things. If you're ready to shape the future of fabrication, come build it with us. The Job - Build world-class SLS materials for 3D printing from initial lab explorations to validation and commercialization - Lead research that pushes the boundaries of SLS material performance, turning discoveries into next-gen solutions. - Partner with product, hardware, and software teams to iterate and improve material performance based on customer feedback - Develop methodologies to evaluate material formulations in coordination with SLS print systems -balancing material chemistry, thermal dynamics, and printing parameters You - Experience bringing a new material to market from ideation to production - Have a solid understanding of the fundamentals of materials science and polymer product development - Hands-on experience in thermo-plastic engineering - Passionate about testing and troubleshooting, not afraid to test hundreds of times - Love to harness data; can design and conduct rigorous experiments to optimize materials - Can work autonomously and take initiative to learn new skills to ### S&C Global Network - AI - Life Sciences -Data Science Manager - Accenture plc - Location: Location not specified (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - 401(k) match: listed (not source-backed) - Apply: https://accenture.wd103.myworkdayjobs.com/accenturecareers/job/Bengaluru-BDC7C/S-C-Global-Network---AI---Life-Sciences--Data-Science-Manager_R00229249-1 - Excerpt: S&C Global Network - AI - Life Sciences -Data Science Manager Location not specified posted: Posted 30+ Days Ago ### Scientist, Cell-Based & Functional Assays - Adaptyv - Location: Lausanne | OnSite (onsite) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/9e938c23-156b-46dd-aae3-4d498b778bd3 - Excerpt: Scientist, Cell-Based & Functional Assays Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build out cell-based and functional assays at Adaptyv - the work that proves an antibody or protein actually does something: activates or blocks a receptor, triggers signaling, kills a cell, or modulates an immune response. Cell activation assays, reporter systems, potency assays, and antibody functional readouts are the heart of this role. This is the most interdisciplinary of ### Postdoctoral Researcher (PhD) - FAIR - Core Learning - Meta - Location: Paris, France (unspecified) - Salary: Not disclosed - Posted: 2026-06-07 - 401(k) match: listed (not source-backed) - Apply: https://www.metacareers.com/jobs/1705253033983509/ - Excerpt: Postdoctoral Researcher (PhD) - FAIR - Core Learning Paris, France Meta's Fundamental AI Research (FAIR) organization is seeking a postdoctoral researcher to drive advancements in generative models, with a particular focus on fundamental topics (data efficiency, continual learning) in large language models (LLMs) research. The role involves working across the full spectrum of research, engineering, and deployment for both product and frontier model efforts. Responsibilities: - Innovate, lead, and execute pioneering research to push the state-of-the-art in generative models and LLM performance - Systematically perform independent research, quickly adapting to new developments in the field - Directly contribute to the experimental process, including designing details, implementing reusable code, running evaluations, and organizing results - Contribute to publications, open-sourcing initiatives, and mentor other team members - Ensure effective cross-functional collaboration Minimum qualifications: - Currently possess or be pursuing a PhD in Computer Science, Mathematics, or a similar quantitative discipline - Demonstrated experience with training, fine-tuning, and experimentation on foundation models beyond black-box usage - Must be able to obtain and maintain work authorization in the country of employment Preferred qualifications: - Ability to communicate complex ideas with peers - Hold first-author publications at peer-reviewed AI conferences (e.g., NeurIPS, ICML, ICLR) - Familiarity with PyTorch Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented ### AI Data Science Lead – Research (Gilead & Kite)AI Data Science Lead – Research (Gilead & Kite) - Gilead Sciences - Location: United States - North Carolina - Raleigh (unspecified) - Salary: Not disclosed - Posted: 2026-06-04 - 401(k) match: listed (not source-backed) - Apply: https://gilead.wd1.myworkdayjobs.com/gileadcareers/job/United-States---North-Carolina---Raleigh/AI-Data-Science-Lead---Research--Gilead---Kite-AI-Data-Science-Lead---Research--Gilead---Kite-_R0052731-1 - Excerpt: AI Data Science Lead – Research (Gilead & Kite)AI Data Science Lead – Research (Gilead & Kite) United States - North Carolina - Raleigh posted: Posted 8 Days Ago ### Senior Data Scientist, Generative AI - Luminate - Location: New York City, NY (unspecified) - Salary: $225K-$240K - Posted: 2026-06-07 - 401(k) match: listed (not source-backed) - Mental health support: yes (not source-backed) - Apply: https://luminatedata.com/careers/?gh_jid=4658446005 - Excerpt: Senior Data Scientist, Generative AI New York City, NY Luminate is the entertainment industry's preeminent data and insights partner, serving as the single source of truth for record labels, film studios, talent agencies, and every part of the music and entertainment ecosystem. By aggregating data from over 500 verified sources, Luminate provides customers with the objective validation needed to make critical business decisions and track global market share. While its data famously fuels the Billboard Charts and the Variety Streaming Originals Charts, Luminate's primary mission is to empower the entertainment industry with essential, accurate and objective data. The Team: We are looking for a Senior Data Scientist, Generative AI to join our Data team in New York City, NY. Your role will include a combination of developing models and tools to be deployed into production systems and defining frameworks to measure and improve data quality standards. This is an IC position but will require you to collaborate with the Data team as well as with various technical and nontechnical team across our organization. Your work will directly impact the future of our Music and Film & TV products. Responsibilities: Design, build, and deploy robust, scalable machine learning models that power core product features. You will write production-quality code and be responsible for the end-to-end implementation of AI/ML systems. Take full ownership of the model development process, including data sourcing and feature engineering, model training and validation, testing, and deployment. You will design and implement monitoring, logging, and alerting to ensure ### Data Science Consultant - Precision Medicine - Danaher Corporation - Location: Tokyo, Tokyo, Japan (unspecified) - Salary: Not disclosed - Posted: 2025-12-08 - 401(k) match: listed (not source-backed) - Apply: https://danaher.wd1.myworkdayjobs.com/DanaherJobs/job/Tokyo-Japan/Data-Science-Consultant---Precision-Medicine_R1301511/apply - Excerpt: Data Science Consultant - Precision Medicine Tokyo, Tokyo, Japan Are you experienced in data science and passionate about precision medicine? Join our team as a Data Science Consultant and leverage your expertise to drive innovation in biopharma R&D. Collaborate with leading scientists and make a real impact in the life sciences industry. ### Supervisor, Material Management - Life Sciences, Data Science, Semiconductor - Fluor Corporation - Location: Raleigh, US-NC, United States (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - 401(k) match: listed (not source-backed) - Apply: https://careers.fluor.com/careers/job/1099551934941 - Excerpt: Supervisor, Material Management - Life Sciences, Data Science, Semiconductor Raleigh, US-NC, United States ### Scientist/Sr. Scientist, Chemical Biology - General Proximity - Location: San Francisco, CA (unspecified) - Salary: Not disclosed - Posted: 2025-09-26 - Apply: https://job-boards.greenhouse.io/generalproximity/jobs/5660301004 - Excerpt: Scientist/Sr. Scientist, Chemical Biology San Francisco, CA tl;dr General Proximity is a seed-stage startup developing the next generation of induced proximity medicines (IPMs). Our OmniTAC drug discovery engine furnishes molecules that co-opt existing cellular machinery to overcome therapeutic challenges, which have remained unapproachable to other modalities for decades. We are seeking a first-rate chemical biologist to help us pioneer this uncharted frontier of drug discovery. Our Story A long-standing challenge in drug discovery is the development of molecules capable of modulating difficult or "undruggable" targets. Disease-causing proteins can be dysfunctional in many different ways, but our armamentarium for fixing them is quite limited. The most common mechanism of action for FDA-approved drugs is inhibition [1] , but there are many other possible perturbation types whose potential remains unrealized. General Proximity is a seed-stage drug discovery company developing a novel platform technology to solve this problem. We make bifunctional drugs that induce the modification of drug targets by existing cellular machinery (rather than through direct modulation by the drug, the classical approach). Historically, the development of technologies that allow one to push new buttons in biology has been an incredibly fertile field for the discovery of new medicines[ 2 , 3 , 4 ], and our technology holds the same promise. The Position We are seeking an experienced chemical biologist with medicinal chemistry training to be a founding member of our Chemistry/Drug Discovery Team . In this position, you will work with both our Chemistry and Platform Teams in the development ### Manager Data Science - Paylocity - Location: Remote, US (remote) - Salary: Not disclosed - Posted: 2026-06-10 - 401(k) match: listed (not source-backed) - Apply: https://2000recruiting.paylocity.com/recruiting/jobs/Apply/42089/Paylocity/Manager-Data-Science - Excerpt: Manager Data Science Remote, US Manager Data Science ### Senior Research Scientist - Personalization - Spotify - Location: New York, NY (unspecified) - Salary: $169K-$242K - Posted: 2026-04-17 - Apply: https://jobs.lever.co/spotify/a8d3838e-01d8-457e-b21c-a5468c10a116 - Excerpt: Senior Research Scientist - Personalization New York, NY The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them. Spotify's Personalization organization builds the technology that helps millions of listeners discover what they love. Within this space, our research team focuses on advancing the state of the art in machine learning and AI to shape the future of personalization. We explore new approaches, challenge existing assumptions, and contribute to the broader research community while influencing long-term product direction. The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them. Spotify's Personalization organization builds the technology that helps millions of listeners discover what they love. Within this space, our research team focuses on advancing the state of the art in machine learning and AI to shape the future of personalization. We explore new approaches, challenge existing assumptions, and contribute to the broader research community while influencing long-term ### S&C Global Network - AI - Life Sciences -Data Science Sr. Manager - Accenture plc - Location: Location not specified (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - 401(k) match: listed (not source-backed) - Apply: https://accenture.wd103.myworkdayjobs.com/accenturecareers/job/Bengaluru-BDC7C/S-C-Global-Network---AI---Life-Sciences--Data-Science-Sr-Manager_R00229254 - Excerpt: S&C Global Network - AI - Life Sciences -Data Science Sr. Manager Location not specified posted: Posted 30+ Days Ago ### Staff Research Engineer - RL Gyms - Turing - Location: San Francisco, California, United States (unspecified) - Salary: $250K-$350K - Posted: 2025-11-11 - Apply: https://job-boards.greenhouse.io/turing/jobs/5703799004 - Excerpt: Staff Research Engineer - RL Gyms San Francisco, California, United States About Turing Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage. Recognized by Forbes, The Information, and Fast Company among the world's top innovators, Turing's leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com What we do Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: - Environments for Software Engineering / coding agents - UI-Environments for Computer-Use/Browser-Use agents - MCP-based Environments for general function-calling agents across various enterprise and consumer applications. The Role We are looking for a Staff Research Engineer - RL to own the end-to-end lifecycle of RL environment projects, spanning environment design, task generation, reward/verifier design, quality, and delivery to frontier ### Consultant, Data Science | Digital & Insights, Data Science | Strategic Communications - FTI Consulting - Location: London, United Kingdom (unspecified) - Salary: Not disclosed - Posted: 2026-05-26 - 401(k) match: listed (not source-backed) - Apply: https://fticonsulting.wd108.myworkdayjobs.com/fticonsultingcareers/job/London-United-Kingdom/Consultant--Data-Science---Digital---Insights--Data-Science---Strategic-Communications_JR260VG-TEE - Excerpt: Consultant, Data Science | Digital & Insights, Data Science | Strategic Communications London, United Kingdom posted: Posted 17 Days Ago ### Senior Scientist, Oligo Chemistry - Danaher Corporation - Location: Sunnyvale, California, United States of America (unspecified) - Salary: Not disclosed - Posted: 2026-05-26 - 401(k) match: listed (not source-backed) - Apply: https://danaher.wd1.myworkdayjobs.com/DanaherJobs/job/Sunnyvale-California-United-States/Senior-Scientist--Oligo-Chemistry_R1309486/apply - Excerpt: Senior Scientist, Oligo Chemistry Sunnyvale, California, United States of America Join our team as a Senior Scientist, Oligo Chemistry and drive innovation in oligonucleotide synthesis. Leverage your expertise in phosphoramidite chemistry and solid-phase synthesis to advance life-changing genomics technologies. Collaborate with global partners and make a real impact in diagnostics and biotechnology. Shape the future of science with us! ### Technician III - General Atomics - Location: Location not specified (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - 401(k) match: listed (not source-backed) - Apply: https://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=25539&siteid=5313&PageType=JobDetails&jobid=5215997 - Excerpt: Technician III General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems. We have an exciting opportunity for a Radar Technician to join our AMS team located in Poway, CA. DUTIES & RESPONSIBILITIES: - Conduct depot level repair, integration and testing, modification and operation of complex synthetic aperture radar (SAR) / ground moving target indicator (GMTI) and other airborne sensors. - Operate specialized test equipment in the performance of troubleshooting and maintaining sensors, both in the laboratory and in the field. - Performs and/or assists in fabrication, modification, assembly, installation, operation, repair and maintenance of complex laboratory, experimental and commercial equipment. - May assist in the design of basic lab, experimental, and commercial equipment. - Applies specialized knowledge and skills pertinent to the organization, project or program assigned. - Will utilize SAP processes to track defective components. We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply. ### Research Intern (Flow Matching models) - Owkin - Location: Paris, France (unspecified) - Salary: Not disclosed - Posted: 2026-06-01 - Apply: https://jobs.ashbyhq.com/owkin/ba9135db-b9fd-4d1e-a3f9-5b4674fa1935 - Excerpt: Research Intern (Flow Matching models) Paris, France About us Owkin is an AI company on a mission to solve the complexity of biology. It is building the first Biology Super Intelligence (BASI) by combining powerful biological large language models, multimodal patient data, and agentic software. At the heart of this system is Owkin K, an AI copilot and its new LLM fine-tuned on biology called Owkin Zero, used by researchers, clinicians, and drug developers to better understand biology, validate scientific hypotheses, and deliver better diagnostics and therapies faster. This is a six-month internship position is based in our Paris office. Please submit your CV in English About the role: The Computational Drug Discovery team within the Biomedical Department aims at bridging the gap between target discovery and preclinical drug candidates. Blending experts in machine learning, biologics, protein language models and computational chemistry, the team provides solutions in around target tractability, de novo biologics design, cheminformatics, cofolding, etc.. We are looking for a promising research intern to focus on generative approaches, particularly flow matching models. As part of the project, the intern will survey and compare existing approaches, and build workflows that fit our use cases, starting with small molecule generation constrained by binding sites. This internship provides a unique opportunity to study a fast-growing and important field, with clear applications for drug discovery. In particular, you will: - Collaborate closely with, and receive mentorship from the other members of the Biomedical team; - Conduct primary research and numerical validation on ### Technician IV - General Atomics - Location: Location not specified (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - 401(k) match: listed (not source-backed) - Apply: https://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=25539&siteid=5313&PageType=JobDetails&jobid=5218331 - Excerpt: Technician IV General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems. We have an exciting opportunity for a Radar Technician to join our MPEx team located in Poway, CA. DUTIES & RESPONSIBILITIES: - Conduct depot level repair, integration and testing, modification and operation of complex synthetic aperture radar (SAR) / ground moving target indicator (GMTI) and other airborne sensors. - Operate specialized test equipment in the performance of troubleshooting and maintaining sensors, both in the laboratory and in the field. - Performs and/or assists in fabrication, modification, assembly, installation, operation, repair and maintenance of complex laboratory, experimental and commercial equipment. - May assist in the design of basic lab, experimental, and commercial equipment. - Applies specialized knowledge and skills pertinent to the organization, project or program assigned. - Will utilize SAP processes to track defective components. We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply. ### Data Generation - Chai Discovery - Location: San Francisco office, San Francisco, California, United States (unspecified) - Salary: Not disclosed - Posted: 2026-06-08 - Apply: https://jobs.ashbyhq.com/chaidiscovery/f9536a79-5e81-4d88-be04-8a654c5082d5 - Excerpt: Data Generation San Francisco office, San Francisco, California, United States About Chai Discovery Chai is a research lab working on AI to unlock biology. Our models design new molecules for new medicines. We are changing how biologists develop drugs, just as language models are changing how engineers write code. Our vision is a design suite for molecules, with applications across life sciences, agriculture, materials and beyond. Our founders have been at the forefront of this field from the beginning. We are backed by Thrive, General Catalyst, OpenAI, Dimension and other tier-one investors. We partner with global life sciences companies like Eli Lilly on deals that are transforming industry. We are known for talent density, rigorous research and pace of execution. About the role We are looking for an expert in data operations, or a fast-rising generalist, to take the reins of data generation here at Chai. Someone who operates with urgency, has strong communication and project management skills, and who has an analytical nature. Data is vital to training frontier AI models, testing research hypotheses, and supporting our partners. You will set the vision and execute scaling of Chai's lab-in-the-loop data platform and drive CRO/external research partners, while working hand-in-hand with our science and research teams. This is a chance to push the boundaries of drug discovery and contribute to some of most advanced AI models ever imagined. Immerse yourself in technologies that represent the future of biotech, and position yourself at the forefront of this emerging field. About you --- Source-backed benefit claims include source links; other benefit values are labeled separately.