# FewerJobs export - 100 curated jobs Generated: 2026-09-27T02:57:13.194Z Source: https://fewerjobs.com ## Filters applied - **q**: AlphaSense - **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**: 5 - **per_page**: 100 - **sort**: relevance ## Jobs ### Database Systems SRE, ASE Cassandra SRE - Apple - Location: Seattle, United States of America (unspecified) - Salary: $140K-$258K - Posted: 2026-05-27 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200665417/database-systems-sre-ase-cassandra-sre?team=SFTWR - Excerpt: Database Systems SRE, ASE Cassandra SRE Seattle, United States of America Apple's Services Engineering organization (ASE) is seeking experienced database systems engineers to join our Cassandra SRE team. Engineers in ASE Cassandra SRE develop and contribute to software built to manage Apache Cassandra, an open source distributed database powering some of Apple's most critical internet services. You will be joining a team of experts, working at the cutting edge of modern database deployment architectures, distributed systems. The team's work is deployed at massive scale, serving millions of queries per second over hundreds of petabytes of data across our data-centers worldwide. It also has big impact, forming the platform upon which iCloud and many other internet services at Apple are built. In ASE, your work will benefit hundreds of millions of users and is critical to the success of some of the most visible current and future Apple features. The ASE Cassandra SRE team develops applications and tooling that are safe, reliable, scalable, and fast. This work requires an innovative spirit and an extraordinary degree of care and rigor in engineering. Team members contribute to all major components of Cassandra deployment infrastructure, including maintenance automation, backup service application, monitoring and alerting tooling/dashboards, deployment architecture, as well as contributing back to the upstream patches to the database focused on stability, performance, and scaling. This role also requires excellent communication, ability to partner with our Core Storage and Analytics teams, and a high degree of customer focus when engaging with internal platform customers. ### Sr. Software Engineer- AI/ML, AWS Neuron Distributed Training - Amazon - Location: Cupertino, California, USA (unspecified) - Salary: $193K-$262K - Posted: 2025-06-20 - 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/3014888/sr-software-engineer-ai-ml-aws-neuron-distributed-training - Excerpt: Sr. Software Engineer- AI/ML, AWS Neuron Distributed Training Cupertino, California, USA Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. AWS Neuron is the complete software stack for the AWS Trainium (Trn1/Trn2) and Inferentia (Inf1/Inf2) our cloud-scale Machine Learning accelerators. This role is for a Senior Machine Learning Engineer in the Distribute Training team for AWS Neuron, responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive-scale Large Language Models (LLM) such as GPT and Llama, as well as Stable Diffusion, Vision Transformers (ViT) and many more. The ML Distributed Training team works side by side with chip architects, compiler engineers and runtime engineers to create, build and tune distributed training solutions with Trainium instances. Experience with training these large models using Python is a must. FSDP (Fully-Sharded Data Parallel), Deepspeed, Nemo and other distributed training libraries are central to this and extending all of this for the Neuron based system is key. Key job responsibilities You will lead efforts to build distributed training support into PyTorch and JAX using XLA, the Neuron compiler, and runtime stacks. You will optimize models to achieve peak performance and maximize efficiency on AWS custom silicon, including Trainium and ### Senior Data Engineer, AI Systems - Movable Ink - Location: Movable Ink - Toronto (unspecified) - Salary: CAD 144K-188K - Posted: 2026-06-05 - Apply: https://movableink.com/job-listing?gh_jid=7963874 - Excerpt: Senior Data Engineer, AI Systems Movable Ink - Toronto Movable Ink scales content personalization for marketers through data-activated content generation and AI decisioning. The world's most innovative brands rely on Movable Ink to maximize revenue, simplify workflow and boost marketing agility. Headquartered in New York City with close to 600 employees, Movable Ink serves its global client base with operations throughout North America, Central America, Europe, Australia, and Japan. The AI Systems team owns the core recommendations engine and ML platform that powers billions of AI-driven marketing decisions daily across some of the world's largest consumer brands. As a Senior Data Engineer, you will own the Spark-based data pipelines and data infrastructure at the heart of this system - building, scaling, and optimizing the data layer that feeds our production ML models. You will work alongside ML engineers and scientists in a collaborative environment, contributing data pipelines and products to power our core recommender systems and our DaVinci Personalization product. This is an opportunity to work end-to-end on large-scale data systems that touch millions of customers, on a team working at the intersection of data engineering and machine learning. This role will be reporting to the Director of Engineering (AI/ML). Responsibilities: - Build, maintain, and optimize production data pipelines that power AI-driven personalization at scale across content selection, send-time optimization, subject line personalization, and frequency capping - Own and scale Spark-based batch pipelines, including cluster configuration, tuning, and performance optimization across GCP Dataproc - Build and maintain our ML Data ### Senior JavaScript Engineer - Human Dx - Location: Tel Aviv, Israel | Hybrid | Remote (hybrid) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/human/59f1a522-e106-4fe0-ba56-01c000957d8f - Excerpt: Senior JavaScript Engineer Tel Aviv, Israel | Hybrid | Remote HUMAN's Bot Defender is a market leading product designed to safeguard online platforms and digital assets from automated bot attacks. At HUMAN, our Sensor team is at the forefront of protecting online platforms by distinguishing real users from sophisticated bots. Our JavaScript-based sensor is a critical component of HUMAN's detection capabilities, gathering high-fidelity signals from browsers and devices to help secure digital ecosystems at scale. We are seeking an experienced engineer to join the Sensor team in pushing the boundaries of real-time, client side (JS) and backend development. Join us and be an essential part of the team that powers the intelligence behind HUMAN's defense against online threats - helping to keep the internet human! What you'll do: - Drive the design, development, and optimization of advanced JavaScript techniques to collect signals (user behavior, device characteristics, browser APIs) securely and efficiently. - Own the full code lifecycle: architecture, development, deployment, monitoring, and continuous improvement. - Collaborate closely with Product, Research, Security, and Engineering teams to align technical execution with broader product goals. Who you are: - 4+ years of hands-on software development experience, with deep expertise in vanilla JavaScript and browser internals. - Strong understanding of web security concepts, browser APIs, and the nuances of cross-platform development. - A JavaScript enthusiast who enjoys being hands-on: reviewing code, setting architecture and contributing to complex solutions. - Experience with typed backend languages (e.g., Go, Java). - Excellent communication and collaboration skills, with ### ML Engineer, Proactive - Agentic Systems Evaluation - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $127K-$221K - Posted: 2026-05-14 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200656115/ml-engineer-proactive-agentic-systems-evaluation?team=MLAI - Excerpt: ML Engineer, Proactive - Agentic Systems Evaluation Cupertino, United States of America Are you passionate about working on the next generation of personalized intelligence systems? In this role, you will be developing and deploying robust evaluation frameworks across the data lifecycle -- from data collection and processing, to analytic dashboards for reporting. You will be part of the larger Proactive Intelligence team, which builds features that anticipate customer's needs and create personalized experiences by adapting to user behaviors with machine learning running locally on-device or in PCC. Join our cross functional team of specialists dedicated to the evaluation of agentic systems. We are looking for a high-impact ML Evaluation Engineer to help architect rigorous evaluations systems for autonomous agents. With the rise of generative AI, the ability to quantify the reliability and quality of these systems is more critical than ever. You will design and deploy qualitative and quantitative metrics to measure the quality, reasoning, and tool-use accuracy of agentic systems. You will be working with very sensitive data, so leveraging existing and developing new privacy enhancing technologies -- such as differential privacy, PII redaction, and data minimization -- will be crucial. The team you will be joining is focused on advancing scalable automated processes for evaluation. To succeed, you will need a deep understanding of system-level software operations to deliver next-generation capabilities. Join the Proactive Intelligence team to build the evaluation platforms for the future of intelligent, personalized experiences. * Design and implement evaluation frameworks to measure quality, reasoning, ### Machine Learning Systems Engineer, Research Tools - Anthropic - Location: San Francisco, CA | New York City, NY | Seattle, WA (unspecified) - Salary: $320K-$405K - Posted: 2025-10-15 - Apply: https://job-boards.greenhouse.io/anthropic/jobs/4952079008 - Excerpt: Machine Learning Systems Engineer, Research Tools 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: We are seeking an experienced Machine Learning Systems Engineer to join our Encodings and Tokenization team at Anthropic. This cross-functional role will be instrumental in developing and optimizing the encodings and tokenization systems used throughout our Finetuning workflows. As a bridge between our Pretraining and Finetuning teams, you'll build critical infrastructure that directly impacts how our models learn from and interpret data. Your work will be foundational to Anthropic's research progress, enabling more efficient and effective training of our AI systems while ensuring they remain reliable, interpretable, and steerable. Responsibilities: - Design, develop, and maintain tokenization systems used across Pretraining and Finetuning workflows - Optimize encoding techniques to improve model training efficiency and performance - Collaborate closely with research teams to understand their evolving needs around data representation - Build infrastructure that enables researchers to experiment with novel tokenization approaches - Implement systems for monitoring and debugging tokenization-related issues in the model training pipeline - Create robust testing frameworks to validate tokenization systems across diverse languages and data types - Identify and address bottlenecks in data processing ### Machine Learning Platform Engineer, Apple Services Engineering - Apple - Location: Seattle, United States of America (unspecified) - Salary: $172K-$258K - Posted: 2026-05-19 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200664012/machine-learning-platform-engineer-apple-services-engineering?team=SFTWR - Excerpt: Machine Learning Platform Engineer, Apple Services Engineering Seattle, United States of America We're building the evaluation platform that will serve all of Apple's generative AI and agent systems. Evaluating non-deterministic AI systems is one of the hardest unsolved problems in production ML - and one Apple has to get right at scale. We're building the platform that makes it tractable for every team here. This is a hands-on engineering role with a lot of autonomy. You'll write a lot of Python and own meaningful pieces of the platform end-to-end. You'll be partnering closely with research engineers, model and serving teams, product and feature teams, and the infra and data platform groups this work integrates with. Build and ship: Take ownership of features and services within the evaluation platform: APIs, SDKs, orchestration components, evaluation runners. You'll have the room to make calls on your own work and the support to deliver it well. Productionize ML research: Partner with research engineers to take their prototype code and turn it into reliable services. You'll learn their world quickly and translate research patterns into clean Python that holds up under real load. Move fast, responsibly: You'll get scoped problems with room to figure out the how. We trust you to balance speed with care, to know when something needs a quick prototype and when it needs a design doc, tests, and a careful rollout. Improve as you go: Notice the rough edges and pick them up. The flaky test, the slow build, the confusing ### Manager, Software Engineering - Volta Labs, Inc. - Location: Seaport District, Boston, MA (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.lever.co/voltalabs/a6e1c57a-bb72-4dbb-967b-18bd306dc32f - Excerpt: Manager, Software Engineering Seaport District, Boston, MA ABOUT US: Volta Labs is an applications company that is revolutionizing the future of genomics. We are a Boston based, venture-backed biotech startup that makes extracting vital information from biological samples is as simple as pressing a button, through our flagship product Callisto. Our product speeds up processing time for scientists and increases accessibility to important genetic information for patients. Sitting at the intersection of science and engineering, we invite you to join us on our journey to shape the future of genomics, where insatiable curiosity is encouraged and every Voltarian makes an impact. THE TEAM: You'll join a team of innovative thinkers who love to experiment, collaborate, and win together. We are passionate about pushing the boundaries of automation, biology, computing, robotics, design, and user experience to benefit our customers and the world. We are seeking an experienced Software Lead to drive the architecture, development, and delivery of a full-stack software platform spanning embedded firmware, Linux systems, cloud infrastructure, and customer-facing tools. This individual will lead a growing multidisciplinary software team within a fast-paced startup environment and play a key role in scaling both the technology and the organization. The ideal candidate combines deep technical expertise with strong leadership capabilities, thrives in ambiguous environments, and can transform evolving requirements into structured execution plans. This role requires cross-functional collaboration across hardware, systems engineering, product, and customer-facing teams. WHAT YOU'LL DO WHO YOU ARE ### Sr MLA Design Verification Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs - Amazon - Location: Cupertino, California, USA (unspecified) - Salary: $183K-$248K - Posted: 2026-04-14 - 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/10391904/sr-mla-design-verification-engineer-cloud-scale-machine-learning-acceleration-annapurna-labs - Excerpt: Sr MLA Design Verification Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs Cupertino, California, USA Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SOCs that are used to power today's AI workloads in datacenters all around the world. As a member of the Cloud-Scale Machine Learning Acceleration, you'll collaborate with multiple teams to drive improvements in silicon yield & performance - it's still Day One here at Amazon! Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries. We are seeking experienced Design Verification Engineers to build the next generation of our cloud server chips. Our success depends on our world-class server infrastructure; we're handling massive scale and rapid integration of emergent technologies. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of custom silicon in our data centers. Key job responsibilities - Verify custom chip designs at the SOC level - Integrate 3rd party IPs and VIPs into the SOC testbench - Create comprehensive testplans, write robust random testcases, and execute coverage plans - Maintain autosmoke and regression infrastructure - Dive deep into bugs and triages - Mentor junior engineers About the team Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We ### Forward Deployed Machine Learning Engineer - Black Forest Labs - Location: San Francisco (USA) (unspecified) - Salary: $180K-$270K - Posted: 2025-09-26 - Apply: https://job-boards.greenhouse.io/blackforestlabs/jobs/4935984008 - Excerpt: Forward Deployed Machine Learning Engineer San Francisco (USA) About Black Forest Labs We're the team behind Latent Diffusion, Stable Diffusion, and FLUX - foundational technologies that changed how the world creates images and video. Our models power the tools used by millions of creators, developers, and businesses worldwide, and FLUX is among the most advanced generative systems in the world. Headquartered in Freiburg, Germany with a growing presence in San Francisco, we're scaling fast while staying true to what makes us different: research excellence, open science, and building technology that expands human creativity. Why This Role You'll live at the intersection of cutting-edge research and brutal production reality. Your customers won't just want FLUX to work-they'll need it optimized for their specific hardware, fine-tuned for their unique use cases, and integrated into systems that weren't designed for diffusion models in the first place. What You'll Work On - Ensures FLUX models perform optimally in customer environments-whether that's on-premise GPU clusters or BFL-hosted infrastructure-balancing the eternal tension between latency and output quality - Architects deep product integrations that go far beyond "here's an API endpoint"-helping customers with everything from model hosting and deployment to inference optimization techniques that haven't made it into textbooks yet - Customizes our foundation models for visual media to solve problems customers couldn't articulate until you helped them understand what's possible - Sits in technical deep-dives with customers to diagnose performance bottlenecks, then translates those findings into solutions (and sometimes into research questions for our core team) ### AI Lab - Junior Machine Learning Engineer - Hewlett-Packard - Location: Sant Cugat del Valles, Barcelona, Spain (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - 401(k) match: listed (not source-backed) - Apply: https://hp.eightfold.ai/careers/job/28359544 - Excerpt: AI Lab - Junior Machine Learning Engineer Sant Cugat del Valles, Barcelona, Spain ### Senior Full-Stack Engineer (React, Node.js, Angular) - Sisense - Location: Ukraine (unspecified) - Salary: Not disclosed - Posted: 2026-04-23 - 401(k) match: listed (not source-backed) - Apply: https://www.sisense.com/about/careers/7845072?gh_jid=7845072 - Excerpt: Senior Full-Stack Engineer (React, Node.js, Angular) Ukraine Sisense is a leading AI-powered Analytics Platform as a Service (AnPaaS) that empowers product teams and developers to embed conversational, predictive, and agentic intelligence directly into applications and workflows. Our API-first, developer-first platform turns complex data into faster, smarter, actionable decisions for over 2,000 global customers across financial services, retail, healthcare, and technology. With the recent launch of Sisense Intelligence (Intelligence Assistant, MCP server, Managed LLM), we are accelerating the next wave of embedded analytics innovation. The Role As a Senior Full-Stack Engineer (Node/React), you will be a driving force behind the evolution of our core platform, powering the next generation of embedded AI analytics. This is a high-impact, hands-on role where you'll own features from architectural design to testing and deployment, ensuring our frontend interfaces and backend services are as performant as they are intuitive. Beyond day-to-day feature development for our customer-facing part of the application, you will be a key contributor to company-wide strategic projects. These initiatives are designed to push the boundaries of the Sisense ecosystem, directly influencing our product roadmap and evolving how our customers integrate intelligence into their own applications. What You'll Do - Build and scale end-to-end features using React for modern, responsive frontends and Node.js for high-performance backend services. You will spend the majority of your time writing clean, production-ready code that powers our core platform. - Play a key role in the continuous evolution of our platform by maintaining and bridging functionality within our AngularJS ### Machine Learning Engineer Intern - Neuralink - Location: South San Francisco, California, United States (unspecified) - Salary: Not disclosed - Posted: 2025-05-30 - 401(k) match: listed (not source-backed) - Apply: https://boards.greenhouse.io/neuralink/jobs/6594261003?gh_jid=6594261003 - Excerpt: Machine Learning Engineer Intern South San Francisco, California, United States About Neuralink: We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world. Team Description: The Brain Computer Interface (BCI) Applications Team is responsible for delivering a product that gives people with paralysis the ability to control computers, phones, gaming consoles, and robotic arms with their minds at the same speed and functionality level as able-bodied people can. Furthermore, the team is focused on restoring speech for mute individuals and enabling direct, natural silent communication with AI agents. In this role, you'll work with neuroscientists, physicians, software engineers, and electrical engineers to develop the next-generation human-ready Brain-Computer Interface (BCI). Job Description and Responsibilities: We are hiring a Machine Learning Engineer Intern to develop novel neural decoders to increase control speed and accuracy, improve reliability, and expand functionality of BCIs. You will play a critical role in developing machine learning solutions and driving the successful execution of projects to achieve mission critical goals. You'll work with cross-functional teams to design new BCI functionalities and novel computer user interfaces. Required Qualifications: - Evidence in delivering high-impact projects either in academia or industry - Prior experience designing and building Machine Learning models - Deep understanding of machine learning concepts and fundamentals - Experience in analyzing complex datasets, driving insights, and communicating results in a simple and clear way ### AI Engineer - 2194 - Medline Inc. - Location: Pune (unspecified) - Salary: Not disclosed - Posted: 2026-06-03 - 401(k) match: listed (not source-backed) - Apply: https://medline.wd5.myworkdayjobs.com/Medline/job/Pune/AI-Engineer---2194_R2609499 - Excerpt: AI Engineer - 2194 Pune posted: Posted 9 Days Ago ### Sr. SDM, AI Inference Technology, Neuron SDK - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $253K-$342K - Posted: 2025-06-16 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3009701/sr-sdm-ai-inference-technology-neuron-sdk - Excerpt: Sr. SDM, AI Inference Technology, Neuron SDK Seattle, Washington, USA AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon Elastic Compute Cloud (EC2), to new product innovations that continue to set AWS's services and features apart in the industry. Come develop inference acceleration for AWS Neuron, the complete software stack for Trainium, Amazon's custom cloud-scale machine learning accelerators that power the latest AI models As the Sr. SDM for the Inference Technology Team, you will lead a strong team of managers and engineers to build fundamental inference technology building blocks and libraries to enable AI developers to optimize model for inference on Trainium and Inferentia devices. You will be responsible for the full development life cycle of inference library and feature development, including reliability and scalability. You will develop the Neuronx_Distributed Inference Libraries and contribute to other popular open source Inference Libraries, enabling customers to optimize LLMs, multimodal, and generative models. The ideal candidate will have an established background in delivering AI feature support for demanding, fast-changing priorities or delivering high-performance models using distributed inference libraries. The ideal candidate should have a strong technical ability to understand and manage a vertically integrated system stack that consisting of hardware, frameworks, and workflows. A day in the life You will work with the executive leadership and other senior management and technical leaders to define product directions and deliver them to customers. We build massive-scale distributed training and inference solutions, developing the full stack of software, servers and ### Machine Learning Engineer, Voice - Speak - Location: San Francisco | Hybrid | Remote (hybrid) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/speak/e78edff4-5135-4c68-932d-e449ee460ea3 - Excerpt: Machine Learning Engineer, Voice San Francisco | Hybrid | Remote ABOUT US Our mission is to reinvent the way people learn, starting with language. Learning a language can change a life by opening doors to new cultures, careers, and communities. Two billion people around the world are actively trying to learn a language, but the best way to learn (one-on-one tutoring) is hard to access at scale and hasn't been meaningfully improved in decades. Speak is building a human-level, AI-powered tutor in your pocket: a conversation-first experience that lets learners actually speak, get instant feedback, and progress through carefully designed lessons. The result is a complete path from beginner to confident speaker across multiple languages. Speak first launched in South Korea in 2019, where Speak has now become the number one language learning app, and we now serve learners across many markets and 15+ languages. Speak is one of the world's leading AI companies, with over $150m raised in venture investment from OpenAI, Accel, Founders Fund, Khosla Ventures, and more, with a distributed team across San Francisco, Seoul, Tokyo, Taipei, and Ljubljana. ABOUT THIS ROLE We are looking for an experienced Machine Learning Engineer to join our team and help develop cutting-edge speech recognition models that help teach language fluency. In this role you will take ownership of the end-to-end modeling pipeline, from training and experimentation to deployment and monitoring. You will also work closely with Product teams to design innovative learning experiences and measure the efficacy of production models ### Senior Full Stack Engineer, Integrations Epic - Abridge - Location: United States - Remote, United States (remote) - Salary: Not disclosed - Posted: 2026-04-09 - 401(k) match: listed (not source-backed) - Mental health support: yes (not source-backed) - Apply: https://jobs.ashbyhq.com/abridge/44814e98-7791-45c6-a474-f841d969fa08 - Excerpt: Senior Full Stack Engineer, Integrations Epic United States - Remote, United States About Abridge Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most-their patients. Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems. We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The Role We're looking for Senior Integrations Engineers to join our growing team! This role is instrumental in supporting our expansion in our hyper growth phase. You'll play a key role in designing, building, and scaling our integrations powering our product. You'll work alongside our engineers, implementation specialists, support, and product managers to build real-time and batch data integrations with our partners and clients. What You'll Do - Scale up our business by designing, building, and supporting our integrations and infrastructure - Build robust healthcare ### Senior Backend Engineer - MyOme - Location: Remote (remote) - Salary: $160K-$200K - Posted: 2026-04-22 - Apply: https://myome.com/about-us/careers?gh_jid=4229540009 - Excerpt: Senior Backend Engineer Remote MyOme's mission is to provide clinically actionable genetic information to patients throughout their lives. We combine clinical-grade whole genome sequencing, advanced AI methods for genome interpretation, and seamless digital tools for doctors and patients to order and access results. Our team is composed of seasoned entrepreneurs, scientists, and operators, and we're backed by top-tier investors. Position Overview: MyOme is looking for an experienced and pragmatic individual to join our integrations and portal team. This position will help enable patients and providers to order testing and understand results, bringing clarity and ease of use to complex genetics results. The successful candidate will demonstrate knowledge of healthcare data and an eagerness to build value through fast prototyping and iteration. What You'll Do: - Add new features to our backend systems to support portal enhancements - Support integration partners through reusable feature builds - Create test data to aid in the design and development of our systems - Develop new APIs - Contribute to the team through code reviews and design discussions - Participate in agile development processes, including sprint planning, retrospectives, and continuous improvement - Balance quick wins with long-term technical sustainability What You'll Ne ed: - No specific degree prerequisite. If you can do the work well and humbly, we want to talk with you. - 6+ years of software development experience - 2+ years of healthcare/biotech experience - Experience with HIPAA compliance and healthcare software, or other privacy-focused frontends - Proven track record of building and ### Senior Platform Engineer, Machine Learning - Movable Ink - Location: Movable Ink - Toronto (unspecified) - Salary: CAD 143K-200K - Posted: 2026-04-16 - Apply: https://movableink.com/job-listing?gh_jid=7819352 - Excerpt: Senior Platform Engineer, Machine Learning Movable Ink - Toronto Movable Ink scales content personalization for marketers through data-activated content generation and AI decisioning. The world's most innovative brands rely on Movable Ink to maximize revenue, simplify workflow and boost marketing agility. Headquartered in New York City with close to 600 employees, Movable Ink serves its global client base with operations throughout North America, Central America, Europe, Australia, and Japan. The AI Systems team owns the core recommendations engine that powers billions of AI-driven marketing decisions daily across some of the world's largest consumer brands. As a Senior ML Platform Engineer, you will lead the evolution of this system into a modern, scalable distributed architecture - one of the most impactful technical initiatives at Movable Ink. This is an opportunity to do deep distributed systems work on a production system that directly drives revenue for our customers, while shaping the technical direction of a team working at the intersection of systems engineering and machine learning. Responsibilities: - Lead the architectural evolution of the core recommendations pipeline to a modern distributed architecture, delivering incremental value while maintaining production stability - Design, build, and operate scalable, fault-tolerant backend services that power personalization at scale across content selection, send-time optimization, subject line personalization, and frequency capping - Identify and resolve performance bottlenecks, reliability risks, and scaling limitations across the system - Collaborate with ML engineers and product stakeholders to translate requirements into rigorous technical designs with a clear path to production - Own key ### Intern - Cell Analysis Flow - Revvity - Location: San Diego - BioLegend (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Apply: https://revvity.wd103.myworkdayjobs.com/External/job/San-Diego---BioLegend/Intern---Cell-Analysis-Flow_JR-044195 - Excerpt: Intern - Cell Analysis Flow San Diego - BioLegend posted: Posted 30+ Days Ago ### Machine Learning Engineer, Express AI Foundations - Adobe Inc. - Location: San Jose (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Machine-Learning-Engineer--Express-AI-Foundations_R167647 - Excerpt: Machine Learning Engineer, Express AI Foundations San Jose posted: Posted 30+ Days Ago ### AIML - Staff Machine Learning Engineer - Apple - Location: Cary, United States of America (unspecified) - Salary: $212K-$386K - Posted: 2025-10-13 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200617298/aiml-staff-machine-learning-engineer?team=MLAI - Excerpt: AIML - Staff Machine Learning Engineer Cary, United States of America Would you like to play a part in the next revolution in human-computer interaction? Come build the future with the Apple Knowledge & Information team. Help lead the creation of a truly personalized user experience, one that adapts to the unique needs and habits of each individual. The Apple Knowledge & Information (AKI) Entity Resolution team is looking for senior and staff engineers to lead software projects suffusing knowledge of the user throughout Apple's products. Building this system requires deep expertise in a myriad of cutting edge fields: search, natural language understanding, data engineering, machine learning, privacy preserving system design, and more. You will be a hands on, technical leader as your team partners with a variety of subject matter experts to design, build, and integrate their components into a seamless platform for creating personalized Siri experiences that surprise and delight. Engage with leaders and cross-functional partners to define requirements Partner with application developers to build personalized features users love Build entity resolution APIs that Siri application developers love Lead highly cross-functional software projects Mentor junior software engineers Partner with application owners on API design, implementation, and integration Validate new platform features by leading early adoption Minimum Qualifications: 8 years of professional software experience BS in computer science or related fields Experience leading software engineering teams and / or projects Experience designing and shipping novel systems architectures Passion for great products Exceptional software engineering skills Ability to identify similar ### Enterprise Account Executive - 6Sense - Location: United States, Remote (remote) - Salary: $117K-$158K - Posted: 2023-12-01 - 401(k) match: listed (not source-backed) - Apply: https://boards.greenhouse.io/6sense/jobs/5542296?gh_jid=5542296 - Excerpt: Enterprise Account Executive United States, Remote Our Mission: 6sense's mission is to multiply what matters: growth, retention, and efficiency. We envision a future where companies, teams and people reach their full potential. Our People: People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Win as One Team, Stay Curious, Do The Right Thing, Own the Outcome, and Create Belonging. Every 6sensor plays a part in defining the future of our industry-leading technology. 6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers. We want 6sense to be the best chapter of your career. **Please note this role could be Enterprise Account Executive or Sr. Enterprise Account Executive. The Role: Imagine selling a solution that will predict for your customers (with an 85% accuracy) who is going to buy, what they'll buy and when. As an Enterprise Account Executive at 6sense, you'll be an instrumental player to our growth as we build upon the success we've had delivering predictions for enterprises like Cisco, Centrify, Dell, Qlik, and Oracle. We will trust you to evangelize 6sense, run your business like a CEO, and consistently exceed quarterly and annual targets. This is not your average start-up; you'll be closing large deals. And you'll be rewarded very well for doing so. The Fit: We're looking for people who not only have a track record of ### Senior Member of Technical Staff, Synthetic Data - Cohere Health - Location: Toronto | Remote | New York | London | Paris | Montreal (remote) - Salary: Not disclosed - Posted: 2026-06-10 - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://jobs.ashbyhq.com/cohere/2df2da3c-fb69-4d4d-b3c9-077b3df2ba3d - Excerpt: Senior Member of Technical Staff, Synthetic Data Toronto | Remote | New York | London | Paris | Montreal Who are we? Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what's best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Why this role? As a Senior Machine Learning Engineer specializing in synthetic data, you will play a pivotal role in developing the synthetic data pipeline that is crucial to Cohere's advanced language models. Your responsibilities will encompass the end-to-end management of synthetic data, including maintaining and optimizing the synthetic data pipeline, data analysis and generation, as well as conducting data ablations and model evaluation to gauge data quality. You will work with diverse web data and code data and transform them ### VP, Bioassays, Cell Models, and Genomic Screening - Insitro - Location: South San Francisco, CA (unspecified) - Salary: $290K-$326K - Posted: 2025-09-26 - 401(k) match: listed (not source-backed) - Mental health support: yes (not source-backed) - Apply: https://jobs.ashbyhq.com/insitro/71606d59-a7d1-4246-8fb3-f8c97ba8201b - Excerpt: VP, Bioassays, Cell Models, and Genomic Screening South San Francisco, CA The Opportunity At insitro, we're revolutionizing drug development. We fuse cutting-edge machine learning with large-scale biology and modality-independent drug discovery to tackle major bottlenecks in the pipeline. We've built a leading platform and a team of incredibly talented scientists driven to make a real difference. We're looking for an experienced and dynamic leader to be our VP, Bioassays, Cell Models, and Genomic Screening. This is a pivotal role in shaping and executing insitro's CellML platform. You'll lead the charge in developing and integrating cell models that truly mimic human biology, crafting innovative bioassays, and overseeing our cell-based arrayed and pooled optical screening platforms to accelerate both target and drug discovery. You'll be a central figure, collaborating closely with senior management and teams across therapeutic areas, functional genomics, drug discovery, automation, and machine learning. Your mission: ensure our models, assays, and screening efforts precisely meet the demands of our discovery pipeline and platform execution. This is your chance to join a well-funded AI biotech that's already building a robust pipeline of therapeutic candidates. We're still laying the foundation, which means immense opportunities for you to make a significant impact. You'll work alongside brilliant minds in data science, machine learning, biology, automation, and drug development, applying your expertise to shape insitro's culture, strategic direction, and the success of our discovery platforms. You'll report to the Chief Technical Operations Officer at our South San Francisco office, with at least three days a ### Machine Learning Engineer - Sendbird - Location: Seoul, South Korea (unspecified) - Salary: Not disclosed - Posted: 2026-06-07 - Apply: https://sendbird.com/careers?gh_jid=8287120002 - Excerpt: Machine Learning Engineer Seoul, South Korea Sendbird is building AI agents for customer experience. Our platform already powers billions of conversations every month across chat, voice, video, and messaging APIs. We are now using that foundation to build agents that understand customer context, reason over business data, and take reliable action in production. We are looking for a Machine Learning Engineer to research, build, and productionize new capabilities for those agents. This role sits at the intersection of agent product development, applied AI research, and production engineering. You will work on systems that enterprise customers depend on every day, not demos or isolated prototypes. About Sendbird and delight.ai Sendbird has spent more than a decade building communication infrastructure for in-app chat, voice, video, and messaging APIs. More than 4,000 brands use our platform, including DoorDash, Match Group, Noom, Yahoo Sports, and Rakuten. Our systems support more than 7 billion messages every month. In 2024, we made a strategic shift toward AI-first customer experience. In 2025, we launched our enterprise AI agent product, delight.ai. Delight.ai helps businesses deliver customer support and engagement that is faster, more contextual, and more personal. Unlike simple FAQ bots, our agents are built to remember customer context, use tools, retrieve relevant knowledge, connect across channels, and handle real customer workflows with accuracy and control. The Role As a Machine Learning Engineer, you will design, build, evaluate, and ship new capabilities for our AI agents. You will work across agent architecture, retrieval, memory, planning, tool use, workflow ### Machine Learning (ML) Data Scientist - ISE Analytics and User Studies, Input Experience - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $172K-$306K - Posted: 2026-05-19 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200663930/machine-learning-ml-data-scientist-ise-analytics-and-user-studies-input-experience?team=SFTWR - Excerpt: Machine Learning (ML) Data Scientist - ISE Analytics and User Studies, Input Experience Cupertino, United States of America Apple's Intelligent System Experience (ISE) group builds intelligent software products and experiences on platforms that are used by millions of users around the world every single day. The ISE Data Science team works across products and platforms to translate vast amounts of metrics about software feature usage on iPhone, iPad, and Mac into actionable insights for our leadership in Engineering, Design, and Product Marketing teams. As Apple Intelligence features such as Writing Tools, Smart Reply, and Genmoji evolve, data has become increasingly central to how we understand the user experience, inform product strategy, and evaluate new machine-learning systems in a timely fashion. We are looking for an experienced Machine Learning (ML) Data Scientist to help us uncover insights about how Apple customers experience our technologies. This includes but is not limited to: *Understanding feature usage, such as engagement with Genmoji and Image Playground *Evaluating the accuracy of algorithms like autocorrection for non-English languages, and ML models *Mining user feedback data to identify opportunities for model improvements As a member of our dynamic team, you will have the unique and rewarding opportunity to influence the direction of upcoming products and features that will delight millions of Apple customers around the world every single day! Some of the work you will do includes: Analyzing quantitative and qualitative data from multiple data sources and translate this data into actionable insights for our cross-functional partners in ### Oliver Wyman - Machine Learning Engineer, Generative AI & Unstructured Data - Lisbon - Marsh McLennan - Location: Lisbon - Antonio (unspecified) - Salary: Not disclosed - Posted: 2026-06-11 - 401(k) match: listed (not source-backed) - Apply: https://mmc.wd1.myworkdayjobs.com/MMC/job/Lisbon---Antonio/Oliver-Wyman---Machine-Learning-Engineer--Generative-AI---Unstructured-Data---Lisbon_R_355039-1 - Excerpt: Oliver Wyman - Machine Learning Engineer, Generative AI & Unstructured Data - Lisbon Lisbon - Antonio posted: Posted Yesterday ### Software Engineer, Agent (German speaking) - Sierra - Location: London, England, United Kingdom (unspecified) - Salary: Not disclosed - Posted: 2025-08-21 - Fertility benefits: yes (not source-backed) - Apply: https://jobs.ashbyhq.com/sierra/9ebc3a79-82bf-478d-bd98-d473d41bdeaf - Excerpt: Software Engineer, Agent (German speaking) London, England, United Kingdom About us - At Sierra, we're creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Japan, and Sydney. - We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. - Our co-founders are Bret Taylor and Clay Bavor . Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google's AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you'll do - Design and deliver production-grade AI agents : You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes-they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. - Drive the Agent Development Life Cycle ### Software Engineer - Model Performance - Baseten - Location: San Francisco, California, United States, New York (unspecified) - Salary: Not disclosed - Posted: 2024-03-28 - Apply: https://jobs.ashbyhq.com/baseten/d29e748c-7209-460d-a024-8f77ae0a3d4d - Excerpt: Software Engineer - Model Performance San Francisco, California, United States, New York ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E , backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products. THE ROLE Are you passionate about advancing the application of artificial intelligence? We are looking for a Software Engineer focused on ML performance to join our dynamic team. This role is ideal for someone who thrives in a fast-paced startup environment and is eager to make significant contributions to the exciting field of LLM Inference. If you are a backend engineer who thrives on making things faster and is excited about open-source ML models, we look forward to your application. EXAMPLE INITIATIVES You'll get to work on these types of projects as part of our Model Performance team: - Baseten Embeddings Inference: The fastest embeddings solution available - The Baseten Inference Stack - Driving model performance optimization RESPONSIBILITIES - Implement, refine, and productionize cutting-edge techniques (quantization, speculative decoding, kv cache reuse, chunked prefill and LoRA) for ML model inference and infrastructure. - Deep dive into underlying codebases of TensorRT, PyTorch, TensorRT-LLM, vllm, sglang, CUDA, ### AIML - Machine Learning Engineer - Computer Vision & Audio, MIND - Apple - Location: Seattle, United States of America (unspecified) - Salary: $140K-$258K - Posted: 2026-03-17 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200649665/aiml-machine-learning-engineer-computer-vision-audio-mind?team=MLAI - Excerpt: AIML - Machine Learning Engineer - Computer Vision & Audio, MIND Seattle, United States of America The Machine Intelligence, Neural Design (MIND) team, part of Apple's AIML organization, is leading Apple-wide innovation on HW/SW co-design for efficient inference. With roots in ML, computer vision, and energy efficiency research, our team is strategically positioned to contribute to diverse initiatives ranging from shipping features in well-known Apple products to ambitious, long-term research projects. We are seeking a hands-on Machine Learning Engineer to drive the data & evaluation lifecycle for our production models. In this role, you will focus on designing and scaling high-performance data processing pipelines, ensuring data quality, performing in-depth failure analysis on production models, and implementing advanced data augmentation techniques to boost model performance. This includes but is not limited to crafting creative techniques to analyze audio & video datasets, designing metrics to understand user behavior & evaluate performance of machine learning models. You will innovate across the entire end-to-end ML production pipeline, bridging the gap between hardware, software, and modeling, ensuring our ML systems are robust, efficient, and scalable. We are seeking a Machine Learning Engineer to design and deliver innovative features and models that advance our ML systems. In this role, you will scale model evaluation workflows, build robust data pipelines, and optimize performance across the stack. Your responsibilities will include: * Pipeline Scaling & Optimization: Design, build, and maintain scalable ETL/ELT data pipelines using tools like Spark, & Airflow to handle large-scale datasets. Optimize existing pipelines for ### Machine Learning Engineer - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $147K-$221K - Posted: 2026-05-22 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200641514/machine-learning-engineer?team=OPMFG - Excerpt: Machine Learning Engineer Cupertino, United States of America Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Are you an enthusiastic Machine Learning Engineer eager to apply your expertise in a fast-paced, innovative tech environment? Join our Global Sourcing & Supply Management (GSSM) Solutions team as a key player in revolutionizing our supply chain. As a Machine Learning Engineer on our core AI/ML team, you will design and build GenAI-powered features and workflows leveraging LLMs and modern AI techniques. You will collaborate closely with business stakeholders, product teams, and data engineers to translate complex challenges into practical AI/ML solutions and effectively communicate insights to senior management. Your work will empower data-driven decision-making, optimize workflows, and drive measurable impact across the supply chain. If you thrive in a collaborative environment, are passionate about applying AI/ML to solve real-world business problems, and are excited to work with cutting-edge GenAI technologies, we want to hear from you! - Partner with business and product teams to identify high-impact opportunities and translate ambiguous requirements into GenAI-powered features and workflows delivered through a shared AI platform and embedded across products - Design, build, and own end-to-end GenAI capabilities that support both a centralized AI platform and product teams, covering all aspects from prompt and tool design to agent orchestration, retrieval strategies, model selection, and system evaluation - ### Software Engineer - Applied Machine Learning & Localization - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $147K-$272K - Posted: 2025-09-29 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200623352/software-engineer-applied-machine-learning-localization?team=SFTWR - Excerpt: Software Engineer - Applied Machine Learning & Localization Cupertino, United States of America The Software Localization team powers the tooling, features and processes used to create an exceptional localized experience for Apple's international customers. We are responsible for the localization workflows in Xcode, framework-level localization support, localized OS features, and internal localization tools used to create high quality translations across all of Apple's software products. We are looking for a creative, motivated, and passionate engineer who will work cross-functionally and globally to deliver the next generation of ML tooling and end-user features for international locales. This person will be a creative, motivated, passionate technical leader who has a robust understanding of large language models (LLMs), Natural Language Processing (NLP) and Apple software frameworks. As a software engineer on the Localization Frameworks team, you will join a phenomenal team of passionate engineers to design, implement and qualify localization features, processes and tooling across a wide variety of Apple's products. We are looking for an exceptional candidate to help architect the future of localizing models and machine translation. Your role is to ensure Apple and third-party developers using Xcode can deliver world-class software products to millions of users around the world. Your duties include: Leading the exploration and application of Large Language Models (LLMs) for performing translation tasks and Apple product features Translating the latest research into high-quality systems and models that can be practically applied to further improve machine translation or Apple product features Actively engaging in all aspects of model ### Full-Stack Growth Engineer - ElevenLabs - Location: United Kingdom, United States, Poland (unspecified) - Salary: Not disclosed - Posted: 2023-12-04 - Apply: https://jobs.ashbyhq.com/elevenlabs/5881bc5d-765a-430e-9d28-7d598a0e1a03 - Excerpt: Full-Stack Growth Engineer United Kingdom, United States, Poland About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don't have job titles. Instead, it's about the impact you have. No task is above or beneath you. - AI first: We use AI to ### Sr. Machine Learning Research Engineer, Siri Speech - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $181K-$318K - Posted: 2026-04-24 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200648466/sr-machine-learning-research-engineer-siri-speech?team=MLAI - Excerpt: Sr. Machine Learning Research Engineer, Siri Speech Cupertino, United States of America The Siri Speech team is looking for an exceptional Machine Learning Research Engineer to create ML algorithms for Siri, Dictation, and third-party APIs running efficiently on Apple Hardware. You will help productize modern deep learning techniques running on custom Apple hardware and Private Compute Cloud, and create cutting edge products that pushes the envelope on Machine Learning for Speech Recognition, Speech Synthesis and Conversational aspects for various products. We are looking for a talented ML Research Engineer who is excited by the prospect of working on Siri, Dictation used by millions of users. Our Engineers are creative, inspired, innovative, energetic, self motivated people who love making and shipping products. Are you one of us? You will primarily be responsible for productizing technologies that help with Accuracy, Personalization and to optimize the algorithms to each of Apple's Platforms and Devices. To succeed in this role, you must be a strong collaborator, and a creative problem solver who thrives in a fast-paced environment, working across teams and organizations. Minimum Qualifications: Expertise in compiled languages such as Swift, C++, or Objective-C Familiarity with model training with PyTorch, JAX or other frameworks Applied Machine Learning practitioner Ability to synthesize and productize research ideas to millions of users Preferred Qualifications: M.S, PhD in Computer Science or related field, or B.S. with equivalent industry experience ### Staff Machine Learning Engineer - Hive - Location: Seattle (unspecified) - Salary: $200K-$300K - Posted: 2022-04-21 - Apply: https://jobs.lever.co/hive/e68ca237-e569-4466-8cea-a9bc0abd516d - Excerpt: Staff Machine Learning Engineer Seattle About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive's solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more. Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI! Staff Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, ### Full Stack Software Engineer - Inductive Bio - Location: New York City, San Francisco, or Boston, United States (unspecified) - Salary: Not disclosed - Posted: 2026-03-24 - Apply: https://jobs.ashbyhq.com/inductive-bio/02725e91-1a91-4da7-a4bb-b8e1867c9996 - Excerpt: Full Stack Software Engineer New York City, San Francisco, or Boston, United States Drug discovery is a design problem. Chemists spend hours each week combining experimental data with their own intuition to design molecules that they believe will be potent against a biological target, absorb well into the body, and be non-toxic. This effort takes years to succeed and costs millions of dollars - all while patients' needs for new therapeutics go unmet. At Inductive Bio, our goal is to build software that can dramatically improve how molecules are designed. To do so, we are building a Figma-like platform, backed by scalable infrastructure and state-of-the-art AI, that allows the best drug discovery teams in the world to collaborate effectively on this challenging design problem. Our platform is already being used on more than 30 active drug discovery programs, and adoption is rapidly growing. We are backed by leading investors at the intersection of technology and biotechnology, and we are advised by world-class drug discovery experts. We are seeking a full-stack software engineer to join our talented, ambitious, and kind team. You'll have the opportunity to contribute across our stack, from scaling our backend serving and MLOps infrastructure to deploying new features directly into our molecule design UI. You'll wear many hats and have the opportunity to work directly with chemists, ML Engineers, and our users. As an early engineer at a rapidly-growing startup, you'll have the opportunity for high impact while learning and growing with the company. What you'll do: ### Machine Learning Engineer, Information Security - Apple - Location: Seattle, United States of America (unspecified) - Salary: $140K-$258K - Posted: 2026-02-06 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200645407/machine-learning-engineer-information-security?team=MLAI - Excerpt: Machine Learning Engineer, Information Security Seattle, United States of America Join Apple's Information Security Machine Learning (ISML) team, where we are redefining cybersecurity through data-driven intelligence. Our mission is to transform traditional reactive security measures into autonomous systems that proactively detect and defend against threats. We achieve this through cutting-edge research, applied science, and robust infrastructure development. We are seeking a highly motivated and talented Machine Learning Engineer to join our dynamic and growing team. You will play a pivotal role in designing, developing, and deploying machine learning models that power our advanced security products and services. This is an incredible opportunity to make a real world impact by building intelligent systems that detect and prevent advanced threats, enhance critical security processes, and protect Apple and our customers. The Security ML Engineer will bring their expertise in machine learning to the problems and opportunities facing Information Security at Apple. You will contribute to the Autonomous Security program by developing production ready AI/ML systems using Apple's internal platforms, cloud services, and local compute environments. You will translate research to design, building and deploying machine learning models for security use cases, leveraging generative AI, statistical modeling, reinforcement learning, and data science to address complex security challenges. You will collaborate with cross-functional teams including security teams, software engineers, and researchers to prototype and scale AI/ML driven security solutions. You will own end-to-end ML workflows: data exploration, model development, evaluation metrics design, deployment, and monitoring. Minimum Qualifications: BSc or Masters degree in Machine Learning, ### Principal Machine Learning Scientist - Adaptive Biotechnologies Corp - Location: Remote (WFH) (remote) - Salary: $183K-$275K - Posted: 2026-03-17 - 401(k) match: listed (not source-backed) - Apply: https://www.adaptivebiotech.com/career-listings/listing?gh_jid=8464777002 - Excerpt: Principal Machine Learning Scientist Remote (WFH) At Adaptive, we're Powering the Age of Immune Medicine. Our goal is to harness the power of the adaptive immune system to transform the way diseases are diagnosed and treated. As an Adapter, you'll have the opportunity to make a difference in people's lives. With Adaptive, you'll create a career highlight through collaboration with bright, curious colleagues working at the apex of innovation and application. It's time for your next chapter. Discover your story with Adaptive. Position Overview Adaptive Biotechnologies is seeking a Principal Machine Learning Scientist to lead the development of deep learning models for TCR-pMHC specificity prediction. In this role, you will leverage a large and growing proprietary dataset to design, train, and evaluate models that predict interactions between T cell receptors and peptide-MHC complexes. Your work will focus on developing new approaches that integrate sequence and structural information and rigorously testing their performance in practical settings. You will work closely with computational scientists, immunologists, and machine learning engineers across the organization. The team brings together expertise in immune biology, experimental assay development, and large-scale machine learning, with access to proprietary immune receptor datasets, shared GPU infrastructure, and engineering support for model development and training. This role sits at the intersection of modeling and experimental data generation. As model results highlight gaps in available data or suggest new experimental directions, newly generated datasets can provide additional signal for improving and validating the models. Models developed in this role contribute directly to diagnostic ### Enterprise Solutions Engineer - LATAM - ElevenLabs - Location: Mexico (unspecified) - Salary: Not disclosed - Posted: 2026-04-16 - Apply: https://jobs.ashbyhq.com/elevenlabs/46bad7dc-c8d7-403d-8b10-a2d71c005384 - Excerpt: Enterprise Solutions Engineer - LATAM Mexico About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don't have job titles. Instead, it's about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster ### Senior Penetration Testing Engineer - Snowflake Inc. - Location: US-CA-Menlo Park, Menlo Park, California, United States (unspecified) - Salary: Not disclosed - Posted: 2026-04-06 - Non-birth-parent leave: 12 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://jobs.ashbyhq.com/snowflake/1309d94f-1450-41a3-a1cd-17125cfcb6d9 - Excerpt: Senior Penetration Testing Engineer US-CA-Menlo Park, Menlo Park, California, United States At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. There is only one Data Cloud. Snowflake's founders started from scratch and designed a data platform built for the cloud that is effective, affordable, and accessible to all data users. But it didn't stop there. They engineered Snowflake to power the Data Cloud, where thousands of organizations unlock the value of their data with near-unlimited scale, concurrency, and performance. This is our vision: a world with endless insights to tackle the challenges and opportunities of today and reveal the possibilities of tomorrow. Snowflake started with a clear vision: develop a cloud data platform that is effective, affordable, and accessible to all data users. Snowflake developed an innovative new product with a built-for-the-cloud architecture that combines the power of data warehousing, the flexibility ### Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs - Amazon - Location: Cupertino, California, USA (unspecified) - Salary: $193K-$262K - Posted: 2026-05-27 - 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/10432392/sr-machine-learning-compiler-engineer-iii-aws-neuron-annapurna-labs - Excerpt: Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs Cupertino, California, USA Do you want to be part of AI revolution? At AWS our vision is to make deep learning pervasive for everyday developers and to democratize access to cutting-edge infrastructure. In order to deliver on that vision, we've created innovative software and hardware solutions that make it possible. AWS Neuron is the SDK that optimizes the performance of complex ML models executed on AWS Inferentia and Trainium, our custom chips designed to accelerate deep-learning workloads This role is for a senior software engineer in the Compiler team for AWS Neuron. As part of this role, you will be responsible for building next generation Neuron compiler which transforms ML models written in ML frameworks (e.g, PyTorch, TensorFlow, and JAX) to be deployed AWS Inferentia and Trainium based servers in the Amazon cloud. You will be responsible for solving hard compiler optimization problems to achieve optimum performance for variety of ML model families including massive scale large language models like Llama, Deepseek, and beyond as well as stable diffusion, vision transformers and multi-model models. You will be required to understand how these models work inside-out to make informed decisions on how to best coax the compiler to generate optimal implementation instruction. You will leverage your technical communications skill to partner with other teams and will be involved in pre-silicon design, bringing new products/features to market, and many other exciting projects. Experience in object-oriented languages like C++/Java is a must, ### ML Framework (MetalLM) Engineer, Graphics, Game and ML - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $147K-$272K - Posted: 2026-03-27 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200572773/ml-framework-metallm-engineer-graphics-game-and-ml?team=SFTWR - Excerpt: ML Framework (MetalLM) Engineer, Graphics, Game and ML Cupertino, United States of America Apple's Server ML Frameworks team in GPU, Graphics and Machine Learning works on enabling Apple Intelligence through high-performance, distributed inference of GenAI applications (such as LLMs) on Private Cloud Compute. You will get to work on custom-built server hardware that brings the power and security of Apple silicon to the data center. We are looking for engineers with systems background who are deeply passionate about building scalable, efficient, and production-grade solutions tailored for high-throughput GPU execution. Our team is seeking extraordinary machine learning and GPU programming engineers who are passionate about providing robust compute solutions for accelerating Machine learning libraries on Apple Silicon. Role has the opportunity to influence the design of compute and programming models in next generation GPU architectures. Work on cutting-edge ML inference framework project and optimize code for efficient and scalable ML inference using distributed compute strategies such as data, tensor, pipeline and expert parallelism. Develop kernel and compiler level optimizations and perform in-depth analysis to ensure the best possible performance across Server hardware families. Apply advanced model optimization techniques including speculation, quantization, compression, and others to maximize throughput and minimize latency. Collaborate closely with hardware, compiler, and systems teams to align software performance with hardware capabilities. Analyze and improve performance metrics such as end-to-end latency, TTFT, TBOT, memory footprint, and compute efficiency. Minimum Qualifications: 3+ years of programming and problem-solving experience with C/C++/ObjC Experience with GPU kernel development & optimizations using compute ### AI Engineer - Platform & Assistant - Build A BEAR Workshop - Location: San Francisco | [OnSite] (onsite) - Salary: Not disclosed - Posted: 2026-06-04 - Apply: https://jobs.ashbyhq.com/build/fa3959af-f28e-4127-8bea-29ee207bf274 - Excerpt: AI Engineer - Platform & Assistant San Francisco | [OnSite] ### Machine Learning Engineer - Amgen - Location: India - Hyderabad (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Machine-Learning-Engineer_R-234229 - Excerpt: Machine Learning Engineer India - Hyderabad posted: Posted 30+ Days Ago ### Enterprise Solutions Engineer - EU (German Speaking) - ElevenLabs - Location: Germany, Bulgaria, Poland, Ireland, Denmark, United Kingdom, Sweden, Portugal, Spain, Italy (unspecified) - Salary: Not disclosed - Posted: 2026-05-06 - Apply: https://jobs.ashbyhq.com/elevenlabs/b95f7f0b-f22f-4fc4-9d9f-87f5485b0a1f - Excerpt: Enterprise Solutions Engineer - EU (German Speaking) Germany, Bulgaria, Poland, Ireland, Denmark, United Kingdom, Sweden, Portugal, Spain, Italy About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don't have job titles. Instead, it's about the impact you have. No task is above ### Associate Engineer, RNA Starting Material MS&T - Sarepta Therapeutics - Location: Andover, MA (unspecified) - Salary: Not disclosed - Posted: 2026-05-16 - 401(k) match: listed (not source-backed) - Apply: https://sarepta.wd5.myworkdayjobs.com/sarepta_external/job/Andover-MA/Associate-Engineer--RNA-Starting-Material-MS-T_R-03200-1 - Excerpt: Associate Engineer, RNA Starting Material MS&T Andover, MA posted: Posted 27 Days Ago ### Isolating Pathogens 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/4645491101 - Excerpt: Isolating Pathogens Specialist - Freelance AI Trainer Project United States of America Are you a master of isolating pathogens eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow's AI can democratize world‑class education, accelerate infectious disease research, and support diagnostic laboratories around the world. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for specialists who live and breathe pathogen isolation, microbial culture techniques, enrichment and selective media, aseptic and sterile protocols, biosafety, clinical microbiology, and diagnostic workflows. You'll challenge advanced language models on topics like isolation of bacterial, viral, fungal, and parasitic pathogens from clinical and environmental samples, differential and selective plating, colony morphology, gram staining, hemolysis patterns, anaerobic culturing, and contamination control-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on real-world lab scenarios and theoretical microbiological questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A PhD in microbiology, clinical laboratory science, medical technology, or a closely related life‑science field is ideal; peer‑reviewed publications, hands‑on experience with pathogen isolation in clinical, research, or public health labs, and knowledge of biosafety levels (BSL-1 to BSL-4) signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your pathogen isolation expertise into the knowledge base for tomorrow's AI? Apply ### Research Scientist Intern, AI/ML, Core Ads Growth (PhD) - Meta - Location: Zurich, Switzerland; London, UK (unspecified) - Salary: Not disclosed - Posted: 2026-06-04 - 401(k) match: listed (not source-backed) - Apply: https://www.metacareers.com/jobs/771948392580541/ - Excerpt: Research Scientist Intern, AI/ML, Core Ads Growth (PhD) Zurich, Switzerland; London, UK Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning teams are at the forefront of this evolution. By taking on crucial projects and initiatives that have never been done before, you have an opportunity to help advance the way people connect around the world. In order to meet the demands of our scale, we approach machine learning challenges from a system engineering standpoint, pushing the boundaries of scalable computing and tying together numerous complex platforms to build models that leverage trillions of actions. Our research and production implementations leverage many of the innovations being generated from Meta's research in Artificial Intelligence, Distributed Computing, and Databases, and run on the same hardware and network specifications that are being open sourced through the Open Compute project. As a PhD intern at Meta, you will help build machine learning systems and models behind Meta's products, create web applications that reach millions of people, build high volume servers and be a part of a team that's working to help connect people around the globe. As part of our hiring process, PhD interns are matched to a relevant team based on their experience and interests. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. Responsibilities: - Develop highly scalable classifiers and tools leveraging machine learning, regression, and rules-based models. - Suggest, collect ### Machine Learning Engineer - Amgen - Location: India - Hyderabad (unspecified) - Salary: Not disclosed - Posted: 2026-06-05 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Machine-Learning-Engineer_R-245679 - Excerpt: Machine Learning Engineer India - Hyderabad posted: Posted 7 Days Ago ### Software Development Manager - Compiler, AWS Neuron, Annapurna Labs - Amazon - Location: Cupertino, California, USA (unspecified) - Salary: $213K-$288K - Posted: 2025-10-13 - 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/3107270/software-development-manager-compiler-aws-neuron-annapurna-labs - Excerpt: Software Development Manager - Compiler, AWS Neuron, Annapurna Labs Cupertino, California, USA The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, Neuron Kernel Interface (NKI) compiler, and runtime that natively integrates into popular ML frameworks, such as PyTorch and TensorFlow. Neuron Kernel Interface (NKI) is a bare-metal language and compiler for directly programming NeuronDevices available on AWS Trn/Inf instances. You can use NKI to develop, optimize and run new operators directly on NeuronCores while making full use of available compute and memory resources. AWS Neuron and Inferentia are used at scale with customers and partners like PyTorch, Epic Games, Snap, AirBnB, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The Team: The Amazon Annapurna Labs team is a responsible for building innovative silicon and software for AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. With such breadth of talent, there's opportunity to learn all of the time. We operate in spaces that are very large, yet our teams remain small and ### Machine Learning Engineer - IMC Trading - Location: Chicago, United States; Hong Kong, Hong Kong; Sydney, Australia (unspecified) - Salary: $175K-$250K - Posted: 2025-04-07 - Apply: https://job-boards.eu.greenhouse.io/imc/jobs/4570309101 - Excerpt: Machine Learning Engineer Chicago, United States; Hong Kong, Hong Kong; Sydney, Australia As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations. You'll collaborate with leading researchers, hardware experts, and software engineers to build robust solutions that maximize the potential of GPU acceleration, distributed computing, and the latest open-source tools. Your work will influence our trading strategies by accelerating experimentation cycles that foster continuous innovation and refinement. This is a unique opportunity to solve problems at the intersection of advanced machine learning and trading, where your contributions will shape the future of IMC's technology and trading capabilities. Your Core Responsibilities: - Develop large-scale distributed training pipelines to manage datasets and complex models - Build and optimize low-latency inference pipelines, ensuring models deliver real-time predictions in production systems - Develop libraries to improve the performance of machine learning frameworks - Maximize performance in training and inference using GPU hardware and acceleration libraries - Design scalable model frameworks capable of handling high-volume trading data and delivering real-time, high-accuracy predictions - Collaborate with quantitative researchers to automate ML experiments, hyperparameter tuning, and model retraining - Partner with HPC specialists to optimize workflows, improve training speed, and reduce costs - Evaluate and roll out third-party tools to enhance model development, training, and inference capabilities - Dig into the internals of open-source ML tools to extend their capabilities and improve performance Your Skills and Experience: - 5+ ### Machine Learning Engineer/Senior Machine Learning Engineer - Evisort - Workday, Inc. - Location: 2 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-06-09 - 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://workday.wd5.myworkdayjobs.com/Workday/job/Canada-BC-Vancouver/Machine-Learning-Engineer---Evisort_JR-0103943-1 - Excerpt: Machine Learning Engineer/Senior Machine Learning Engineer - Evisort 2 Locations posted: Posted 3 Days Ago ### Material Handler I - Ultima Genomics - Location: Fremont, California, United States (unspecified) - Salary: $23-$25/hr - Posted: 2026-05-26 - Apply: https://job-boards.greenhouse.io/ultimagenomics/jobs/6005244004 - Excerpt: Material Handler I Fremont, California, United States Rapidly Growing Life Sciences Technology Company Ultima Genomics is a rapidly growing company that is developing ground-breaking genomics technologies. Our mission is to continuously drive the scale of genomic information to enable unprecedented advances in biology and improvements in human health. We have developed a foundational new approach to sequencing at scale that overcomes limitations due to the high costs of current technologies. We are well-funded and have raised approximately $600 million from global top-tier investors. Our team brings together unique and diverse expertise across multiple disciplines, from healthcare and life sciences, to engineering, to technology and software and beyond. We are a collaborative group, including successful entrepreneurs, chemists, hardware and software engineers, genomics and biotechnology experts, molecular and computational biologists, software and algorithm experts, and operations and commercial leaders. Join us to develop and commercialize technologies that unleash the power of genomics at scale and empower the future of human health. We are looking for a highly motivated Material Handler I to join our team! This opportunity is an onsite full-time contracting position based in our Fremont, CA office. How You'll Contribute - Inspect incoming deliveries for damage and any unsafe conditions before unloading material from truck - Perform receipt functions and check all material documentation ensuring accuracy, confirming, counts, weights, measures and purchase order number, matching delivery to the purchase order requirements - Maintain and file the shipment receiving documents as records of each receipt - Maintain the receiving area clean ### AI Full-Stack Developer @OW - Marsh McLennan - Location: Cluj-Napoca - Decembrie (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - 401(k) match: listed (not source-backed) - Apply: https://mmc.wd1.myworkdayjobs.com/MMC/job/Cluj-Napoca---Decembrie/AI-Full-Stack-Developer--OW_R_336837 - Excerpt: AI Full-Stack Developer @OW Cluj-Napoca - Decembrie posted: Posted 30+ Days Ago ### Staff Machine Learning Engineer, Voice AI - Together AI - Location: San Francisco (unspecified) - Salary: $220K-$280K - Posted: 2026-05-19 - Apply: https://job-boards.greenhouse.io/togetherai/jobs/5140763007 - Excerpt: Staff Machine Learning Engineer, Voice AI San Francisco About the Role Together AI is building the best inference infrastructure for voice applications. Our Voice AI platform powers production-grade, real-time voice agents and applications - serving speech-to-text and text-to-speech models with best-in-class latency and reliability. We're looking for a Staff ML Engineer to drive the model serving layer for voice workloads. You'll work hands-on with inference engines like TRT-LLM and SGLang to optimize how we serve models like Whisper, Parakeet, Orpheus, and Kokoro - pushing latency and throughput to the frontier. You'll profile GPU utilization, design batching strategies for streaming audio, and ensure new model architectures can go from research to production quickly. This is a foundational hire on a small, high-impact team. Voice inference has unique challenges - streaming audio, tokenization, real-time latency budgets - that require dedicated ML engineering focus. You'll shape how Together serves voice models as the industry moves from pipeline architectures (ASR → LLM → TTS) toward end-to-end speech-to-speech. - Own the model serving stack that powers Together's voice platform across STT, TTS, and speech-to-speech. - Work directly with state-of-the-art accelerators (H100s, H200s, B200s) to optimize voice model inference. - Collaborate with model partners (Cartesia, Deepgram, Rime, and others) to bring their models to production on Together's infrastructure. - Build quality evaluation frameworks that guide model selection for customers and inform the roadmap. - Join a small, early-stage team with outsized impact on a fast-growing product area. Responsibilities - Own the voice inference roadmap end-to-end - ### Sr Full-Stack Software Engineer, AIML Data Operations - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $181K-$272K - Posted: 2026-04-13 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200657341/sr-full-stack-software-engineer-aiml-data-operations?team=SFTWR - Excerpt: Sr Full-Stack Software Engineer, AIML Data Operations Cupertino, United States of America Artificial intelligence is one of the most profound technologies of our lifetime. It's rapidly changing Apple products, making them more personal, intuitive, and capable than ever before. Imagine what you could do here. We're looking for a senior full-stack engineer with experience across front-end applications, web services, or large-scale data pipelines to help deliver the highest-quality data for LLM training and evaluation, the foundation of Apple's most ambitious user experiences. The AIML Data Operations organization delivers high-quality, human-annotated machine learning data at scale to product teams across Apple. We are both a global operations engineering team and a trusted partner in the development of Apple's consumer software experiences and hardware products. Our work directly contributes to experiences across Apple, like Apple Intelligence, Siri, Vision Pro, and more. Our engineering team delivers custom, internal software solutions that accelerate the collection and delivery of machine learning data. Our data collection clients include multiple Swift and web applications backed by cloud-based web services. We design, build and operate large-scale distributed data-processing pipelines. Our team is user-focused, highly-collaborative, and growth-minded. We embrace emerging technologies, diverse perspectives, and taking shared risks. If you are a creative, curious, and collaborative software engineer with strong computer science fundamentals and a track record of shipping production software at scale, come join us. Minimum Qualifications: Bachelor's degree in Computer Science, Software Engineering, or a closely related technical field, or equivalent practical experience 10+ years of progressive experience ### Machine Learning Systems Engineer, Siri Agent Modeling - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $147K-$272K - Posted: 2026-06-03 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200620661/machine-learning-systems-engineer-siri-agent-modeling?team=SFTWR - Excerpt: Machine Learning Systems Engineer, Siri Agent Modeling Cupertino, United States of America The Siri organization is looking for passionate Machine Learning Systems Engineers to join us in developing and shipping state-of-the-art generative AI technology to advance Siri and Apple Intelligence for Apple's customers. Siri is being elevated by the huge opportunities that AI brings. The organization is responsible for training on-device & cloud models, evaluating various approaches, pushing the envelope with the latest generative AI research developments, and ultimately delivering product critical models that power Siri and Apple Intelligence experiences. These models ship across a wide range of products at Apple, including iPhone, Mac, Apple Watch and more, enabling millions of people around the world to get things done every day. Our team provides an opportunity to be part of an incredible research and engineering organization at Apple. By joining the team, you will work with highly talented machine learning researchers and engineers, and work on meaningful, challenging and novel problems. As a Machine Learning Systems Engineer, you will work closely with Siri modeling teams and other cross-functional teams to optimize model training and inference. You will be working across the ML stack at Apple, finding opportunities to make models performant, train quicker, and run faster on Apple's custom Apple Silicon. You will be joining a team that spans data, modeling, evaluation, deployment and working with engineers across ML infrastructure, inference, and framework teams. You will write production-level code to train and deploy models that will impact Apple's customers and ### Software Intern, Autonomous Lab - Ginkgo Bioworks - Location: Emeryville, California (unspecified) - Salary: $38K-$54K - Posted: 2026-01-28 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/ginkgobioworks/jobs/5033167007 - Excerpt: Software 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: - No college degree necessary ### Hebrew Translator - 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/4651790101 - Excerpt: Hebrew Translator - Freelance AI Trainer Project United States of America Are you a Hebrew translator eager to shape the future of AI? Large-scale language models are evolving from clever chatbots into powerful engines of linguistic intelligence. With high-quality training data, tomorrow's AI can deliver accurate, context-aware translations, enhance cross-cultural communication, and support learners and professionals around the world. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for Hebrew translators with a strong command of both Hebrew and English who can assess and refine AI-generated translations for grammatical accuracy, fluency, cultural nuance, and context sensitivity. You'll challenge the model with idiomatic expressions, ambiguous phrases, formal and informal tones, and real-world scenarios-documenting model failures and providing insight to improve translation quality and consistency. On a typical day, you will evaluate and edit AI outputs, translate between Hebrew and English in both directions, annotate errors, provide cultural or contextual explanations, and suggest improvements to prompts, evaluation methods, and model behavior. A background in professional translation, linguistics, localization, or language education is ideal. Experience with technical, literary, or media translation is a strong signal of fit. Clear, reflective communication and an ability to articulate translation decisions are essential. Ready to turn your translation expertise into the foundation for tomorrow's AI? Apply today and help train the model that will teach the world. We offer a pay range of $8 to $65 per hour, with the exact rate determined after evaluating your experience, ### Senior Software Engineer for Platform team (Node.js, Java, TypeScript) - Sisense - Location: Ukraine (unspecified) - Salary: Not disclosed - Posted: 2026-04-23 - 401(k) match: listed (not source-backed) - Apply: https://www.sisense.com/about/careers/7845083?gh_jid=7845083 - Excerpt: Senior Software Engineer for Platform team (Node.js, Java, TypeScript) Ukraine Sisense is a leading AI-powered Analytics Platform as a Service (AnPaaS) that empowers product teams and developers to embed conversational, predictive, and agentic intelligence directly into applications and workflows. Our API-first, developer-first platform turns complex data into faster, smarter, actionable decisions for over 2,000 global customers across financial services, retail, healthcare, and technology. With the recent launch of Sisense Intelligence (Intelligence Assistant, MCP server, Managed LLM), we are pushing the boundaries of embedded analytics and making AI-driven insights accessible at scale. The Role As a Platform Engineer , you will be a key member of one of our core engineering teams, responsible for designing, building, and evolving the foundational platform that powers Sisense's embedded AI analytics capabilities. You will work on high-impact infrastructure, scalability, and developer experience challenges in a modern, cloud-native environment using Node.js and TypeScript. This is a hands-on role where you'll tackle complex technical problems, influence architectural decisions, and help shape the future of our developer platform. Key Responsibilities - Design, develop, and maintain core platform components using Node.js , Java and TypeScript. - Work closely with architects and cross-functional teams to build scalable, reliable SaaS foundations for embedded analytics and AI features. - Lead large and complex technical projects end-to-end, from design to production. - Analyze and troubleshoot production systems, ensuring high availability and performance. - Research, evaluate, and introduce new technologies and best practices to improve platform quality and developer experience. - Mentor and guide ### Staff Machine Learning Systems Engineer, Embeddings Platform - Reddit, Inc. - Location: Remote - United States (remote) - Salary: $253K-$355K - Posted: 2026-06-11 - 401(k) match: listed (not source-backed) - Mental health support: yes (not source-backed) - Apply: https://job-boards.greenhouse.io/reddit/jobs/8001642 - Excerpt: Staff Machine Learning Systems Engineer, Embeddings Platform Remote - United States Reddit is a community of communities. It's built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit www.redditinc.com . The Embedding Machine Learning Platform team is at the forefront of building highly expressive machine learning models that power Reddit's recommendation systems. We go beyond standard retrieval and ranking architectures, leveraging modern deep learning approaches and scalable model designs to enhance personalization across Reddit's ecosystem. Our work impacts content discovery, user engagement, and platform growth at a massive scale. How You'll Have Impact As a Staff Machine Learning Engineer , you will own the technical direction for large-scale machine learning models, guiding the development of advanced deep learning architectures and high-impact ML systems. You will partner with leadership to define ML roadmaps, drive innovation in scalable model design and training approaches, and ensure efficient, reliable deployment of ML models in production. This role offers an opportunity to influence key AI-driven systems across Reddit while mentoring and uplifting the team's technical capabilities. What You'll Do - Architect and lead the development of next-generation, large-scale machine learning techniques. - Define and execute the ML strategy, identifying opportunities to enhance personalization and ### Senior UCIe PHY Expert, MLA Technology - Amazon - Location: Austin, Texas, USA (unspecified) - Salary: $159K-$215K - Posted: 2026-04-07 - 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/10385469/senior-ucie-phy-expert-mla-technology - Excerpt: Senior UCIe PHY Expert, MLA Technology Austin, Texas, USA Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry. Our Machine Learning Accelerator (MLA) Technology is seeking a UCIe PHY expert who is interested in diving deep into the definition, design, validation, and data center operation of AWS's next generation machine learning silicon and servers. As a senior member of our technology team, you will have opportunities to participate in the design and execution of UCIe, SERDES, and general high speed analog technologies, with the goal of creating the most stable machine learning platforms within AWS's data centers. A senior UCIE engineer on our team needs to be able to work with vendors and internal design teams, understand UCIe timings and features, write/modify tests at scale, debug fleet wide issues, and collect data from manufacturing and the data center. Our broader team has end to end ownership of some of the most complicated IPs on the most advanced server hardware in the world. We drive complex technical debug efforts involving our IPs and leverage the massive ### Senior Applied Researcher - Apple - Location: San Francisco, United States of America (unspecified) - Salary: $181K-$318K - Posted: 2026-05-21 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200663871/senior-applied-researcher?team=MLAI - Excerpt: Senior Applied Researcher San Francisco, United States of America Apple Services Engineering (ASE) builds experiences that touch hundreds of millions of customers every day. From personalized recommendations to proactive intelligence and large-scale commerce systems, we are transforming how users discover, engage, and transact across the Apple ecosystem. The ASE AI/ML organization sits at the nexus of these systems-where deep applied research, advanced machine learning, and large language models converge to drive high-impact innovation at unprecedented scale. We are seeking a Senior Applied Researcher with demonstrated expertise in Generative AI, LLM architectures, and advanced NLP systems. This role is ideal for a hands-on technical leader who has taken novel ideas from research inception to production deployment, and who thrives in environments where ambiguity, scale, and cutting-edge innovation intersect. Here, you won't just push the boundaries of what's possible today-you'll define what's next. What Sets This Role Apart This is not a narrow modeling position. You will influence and implement foundational intelligence capabilities across Apple Services-spanning language understanding, behavioral inference, discovery, and growth optimization-while operating with the autonomy and scope expected of senior technical leadership at Apple. Architect, design, and deploy LLM-powered systems that unlock new capabilities for personalization, intelligent automation, and customer understanding across Apple's services ecosystem. Lead research in areas such as large-scale representation learning, semantic modeling, topic induction, natural language understanding, and retrieval-augmented generation (RAG). Develop and evolve taxonomies, embeddings, and model architectures capable of disentangling complex user or content behaviors in high-dimensional, unstructured data. Drive LLM fine-tuning, evaluation, ### Sr Staff Machine Learning Engineer, ML Platform - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $212K-$386K - Posted: 2026-05-26 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200641072/sr-staff-machine-learning-engineer-ml-platform?team=MLAI - Excerpt: Sr Staff Machine Learning Engineer, ML Platform Cupertino, United States of America At Apple, we work every day to create products that enrich people's lives. Apple Ads makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in Search Ads, App Store, and Apple News. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy. The Machine Learning Platform team's mission is to empower teams at Apple Ads to easily and rapidly develop, deploy and operate innovative ML applications at scale by providing a self-serve, unified platform with foundational infrastructure in model training, inference and agentic AI, as well as associated data and application services. Are you a results-oriented and versatile engineer who can excel in an Agile environment? You will work closely with other ML engineers and scientists to design, develop, and build world-class platform capabilities that will enable Apple Ads teams to improve and scale our ML features, models, and applications. The ML Platform team is responsible for bringing numerous features to advertisers and consumers while simultaneously supporting scalable modeling and continuous experimentation by all Apple Ads teams. As a key contributor to this team, you will design and develop model training and fine-tuning infrastructure at scale. You will enjoy building high-performing, elegant machine learning systems from the ground up, in close partnerships with ### Specialist Software Engineer - R&D Omics - Amgen - Location: India - Hyderabad (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Specialist-Software-Engineer---R-D-Omics_R-239163 - Excerpt: Specialist Software Engineer - R&D Omics India - Hyderabad posted: Posted 30+ Days Ago ### AI/ML Scientist/Developer - Axle - Location: Frederick, MD (unspecified) - Salary: $115K-$130K - Posted: 2025-08-26 - 401(k) match: 5% (not source-backed) - Apply: https://job-boards.greenhouse.io/axle/jobs/4840335007 - Excerpt: AI/ML Scientist/Developer Frederick, MD (ID: 2025-0402) Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH). Axle is seeking a AI/ML Scientist/Developer to join our vibrant team at the National Institutes of Health (NIH) supporting the Standardized Organoid Model Center in Frederick, MD. The Standardized Organoid Model Center is an NIH-funded initiative dedicated to advancing organoid research through the development of validated, reproducible, and well-characterized organoid models. The center brings together interdisciplinary teams of researchers to establish standardized protocols, develop quality control measures, and create resources that will benefit the broader organoid research community. Benefits We Offer: - 100% Medical, Dental & Vision Coverage for Employees - Paid Time Off and Paid Holidays - 401K match up to 5% - Educational Benefits for Career Growth - Employee Referral Bonus - Flexible Spending Accounts: - Healthcare (FSA) - Parking Reimbursement Account (PRK) - Dependent Care Assistant Program (DCAP) - Transportation Reimbursement Account (TRN) Overview The AI/ML Scientist/Developer will develop innovative computational models to predict and optimize organoid growth and differentiation protocols. This position represents a unique opportunity to apply cutting-edge machine ### Senior Backend Engineer, Inference Platform - Together AI - Location: San Francisco (unspecified) - Salary: $160K-$250K - Posted: 2025-08-22 - Apply: https://job-boards.greenhouse.io/togetherai/jobs/4835763007 - Excerpt: Senior Backend Engineer, Inference Platform San Francisco About the Role Together AI is building the Inference Platform that brings the most advanced generative AI models to the world. Our platform powers multi-tenant serverless workloads and dedicated endpoints, enabling developers, enterprises, and researchers to harness the latest LLMs, multimodal models, image, audio, video, and speech models at scale. If you get a thrill from optimizing latency down to the last millisecond, this is your playground. You'll work hands-on with tens of thousands of GPUs (H100s, H200s, GB200s, and beyond), figuring out how to fully utilize every FLOP and every gigabyte of memory. You'll collaborate directly with research teams to bring frontier models into production, making breakthroughs usable in the real world. Our team also works closely with the open source community, contributing to and leveraging projects like SGLang, vLLM, and NVIDIA Dynamo to push the boundaries of inference performance and efficiency. - Shape the core inference backbone that powers Together AI's frontier models. - Solve performance-critical challenges in global request routing, load balancing, and large-scale resource allocation. - Work with state-of-the-art accelerators (H100s, H200s, GB200s) at global scale. - Partner with world-class researchers to bring new model architectures into production. - Collaborate with and contribute to the open source community, shaping the tools that advance the industry. - A culture of deep technical ownership and high impact - where your work makes models faster, cheaper, and more accessible. - Competitive compensation, equity, and benefits. Responsibilities - Build and optimize global and ### Advanced Research Associate – Viral Clearance - Bio-Techne - Location: Minneapolis, MN (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - 401(k) match: listed (not source-backed) - Apply: https://biotechne.wd5.myworkdayjobs.com/biotechne/job/Minneapolis-MN/Advanced-Research-Associate---Viral-Clearance_JR101909 - Excerpt: Advanced Research Associate – Viral Clearance Minneapolis, MN posted: Posted Today ### Senior (Staff) Penetration Tester - Snowflake Inc. - Location: PL-Warsaw, Warsaw, Poland (unspecified) - Salary: Not disclosed - Posted: 2026-04-02 - Non-birth-parent leave: 12 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://jobs.ashbyhq.com/snowflake/65f598bd-f528-42da-b5e5-b3b0bdeed52c - Excerpt: Senior (Staff) Penetration Tester PL-Warsaw, Warsaw, Poland At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. There is only one Data Cloud. Snowflake's founders started from scratch and designed a data platform built for the cloud that is effective, affordable, and accessible to all data users. But it didn't stop there. They engineered Snowflake to power the Data Cloud, where thousands of organizations unlock the value of their data with near-unlimited scale, concurrency, and performance. This is our vision: a world with endless insights to tackle the challenges and opportunities of today and reveal the possibilities of tomorrow. Snowflake started with a clear vision: develop a cloud data platform that is effective, affordable, and accessible to all data users. Snowflake developed an innovative new product with a built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, ### Machine Learning Compiler Engineer - Amazon - Location: Cupertino, California, USA (unspecified) - Salary: $165K-$224K - Posted: 2025-11-30 - 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/3134054/machine-learning-compiler-engineer - Excerpt: Machine Learning Compiler Engineer Cupertino, California, USA The Product: Amazon's Machine Learning accelerators are at the forefront of our innovation and one of several Amazon's tools used for building Generative AI on Amazon. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by cutting edge software stack, the Amazon Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and MxNet. Amazon Neuron and Inferentia are used at scale with customers like Snap, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The Team: As a whole, the Amazon Annapurna Labs team is responsible for silicon development at Amazon. The team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. The Amazon Neuron team works to optimize the performance of complex neural net models on our custom-built Amazon hardware. More specifically, the AWS Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and MXNET, and converts them into code suitable for execution. As you might expect, the team is comprised of some of the brightest minds in the engineering, research, and product communities, focused on the ambitious goal of creating a toolchain that will provide a quantum leap in ### Sr Machine Learning Engineer — Agentic Systems - PayPal Holdings, Inc. - Location: Central Singapore, Singapore (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - 401(k) match: listed (not source-backed) - Apply: https://paypal.wd1.myworkdayjobs.com/Jobs/job/Central-Singapore-Singapore/Sr-Machine-Learning-Engineer---Agentic-Systems_R0135003 - Excerpt: Sr Machine Learning Engineer — Agentic Systems Central Singapore, Singapore posted: Posted 30+ Days Ago ### Director, Computational Biology, Precision Medicine - Amgen - Location: India - Hyderabad (unspecified) - Salary: Not disclosed - 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) - Apply: https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Associate-Director--Computational-Biology--Precision-Medicine_R-238154 - Excerpt: Director, Computational Biology, Precision Medicine India - Hyderabad posted: Posted Yesterday ### Software Development Engineer, Neuron Foundation Tools - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $144K-$194K - Posted: 2026-03-11 - 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) - Surrogacy 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/3202423/software-development-engineer-neuron-foundation-tools - Excerpt: Software Development Engineer, Neuron Foundation Tools Seattle, Washington, USA AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1 servers that use them. As the Software Development Engineer for the Neuron Foundation Tools Team, you will be responsible for working alongside a team of engineers to develop and maintain high-performance monitoring and profiling tools for machine learning applications and AI accelerators. You will work on design, development, and deployment of the Neuron Profiler and other Neuron Tools. The profiler plays a crucial role to internal and external customers in optimizing AI workloads across hardware platforms such as Trainium and Inferentia devices, by providing deep insights into performance bottlenecks and system behavior. Improving performance of ML Kernels and ML Frameworks. In this role, you will manage the full development life cycle of the Neuron Profiler/Tools toolchain, ensuring scalability, reliability, and usability. You will collaborate with cross-functional teams to ensure that the our C++ compiler and runtime generates key information so customers can understand and optimize the performance of our custom hardware. Additionally, you will drive innovations that allow the profiler to support multiple frameworks, such as PyTorch, JAX, and XLA. A successful candidate will have an established background in building AI/ML and performance analysis tools. Experience with ML-specific profiler tools (like PyTorch Profiler or TensorFlow Profiler) is highly desirable, along with direct customer-facing experience and a strong motivation to achieve results. A day in the life day in the ### Machine Learning Engineer - Sardine - Location: United States | Remote | Canada | North America (remote) - Salary: Not disclosed - Posted: 2026-06-07 - Apply: https://jobs.ashbyhq.com/sardine/2c8f0342-b8af-4cc2-85cd-67bc48275568 - Excerpt: Machine Learning Engineer United States | Remote | Canada | North America Who we are: We are a leader in fraud prevention and AML compliance. Our platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Today, over 300 banks, retailers, and fintechs worldwide use Sardine to stop identity fraud, payment fraud, account takeovers, and social engineering scams. We have raised $145M from world-class investors, including Andreessen Horowitz, Activant, Visa, Experian, FIS, and Google Ventures. Our culture: - We have hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo. However, we maintain a remote-first work culture. #WorkFromAnywhere - We hire talented, self-motivated individuals with extreme ownership and high growth orientation. - We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule. Location: - Remote - United States or Canada - From Home / Beach / Mountain / Cafe / Anywhere! - We are a remote-first company with a globally distributed team. You can find your productive zone and work from there. About The Role As a Machine Learning Engineer, you'll do more than build models - you'll design the systems that make fraud detection possible. You'll work across modeling, data pipelines, and backend systems (Go) to ensure ML models run reliably, efficiently, and at scale. This is a chance to combine applied ML with large-scale systems ### Senior Machine Learning iOS Platform Engineer — Responsible AI and Safety - Apple - Location: San Francisco Bay Area, United States of America (unspecified) - Salary: $172K-$302K - Posted: 2026-06-09 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200667449/senior-machine-learning-ios-platform-engineer-responsible-ai-and-safety?team=MLAI - Excerpt: Senior Machine Learning iOS Platform Engineer — Responsible AI and Safety San Francisco Bay Area, United States of America Join Us in Shaping the Future of Generative AI at Apple! Are you passionate about making AI systems safer, more inclusive, and globally representative? Apple is seeking an expert Client Engineer to own the integration of our Responsible AI mitigation assets across the full deployment surface, from on-device foundation models running on Apple Silicon to server-side inference on Private Cloud Compute (PCC). In this role, you will be a pivotal technical leader, bridging Swift client engineering and ML deployment, driving the architectural vision, design, and implementation of how safety classifiers, guardrail models, and mitigation policies are shipped, invoked, and streamed alongside our generative features. You will take end-to-end ownership, from initial concept and rapid prototyping to delivering robust, high-performance, and maintainable solutions that minimize unintended consequences across people, systems, and society while elevating feature capabilities and the overall user experience. Together, we'll anticipate challenges, measure real-world impact, and deliver trusted, high‑quality AI experiences to users around the globe. Our team leads Responsible AI initiatives for global generative AI products, operating at the intersection of policy, product, and GenAI. We build the safety classifiers, content filters, and policy enforcement layers that protect users from unintended model behavior. This role is about getting those assets into users' hands reliably, on the device or in the cloud, at the latency and quality bar Apple expects. We are seeking candidates who will work closely with ### Staff ML Engineer, Life Sciences AI - Lila Sciences - Location: San Francisco, CA USA (unspecified) - Salary: $163K-$200K - Posted: 2026-05-07 - Learning budget: yes (not source-backed) - Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4239026009 - Excerpt: Staff ML Engineer, Life Sciences AI 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), software engineers build the systems that connect generative models, scientific data, and experimental workflows into reliable, production-grade pipelines powering Lila's protein design and engineering campaigns. We're hiring a Staff ML Engineer, Life Sciences AI to lead software infrastructure development for our protein design and engineering pipelines. This is a senior IC role focused on the engineering systems that surround and support our ML stack - pipeline orchestration, data flow between computational and experimental systems, integration of new tools and methods, and the developer experience that lets LSAI move fast on commercial partnership deliverables. What You'll Be Building - Architect and build software infrastructure powering Lila's protein design and engineering pipelines: orchestration, data flow, APIs, and integration with experimental systems. - Own the engineering side of LSAI's "Lab-in-the-Loop" lifecycle - connecting computational outputs to experimental inputs and feeding results back into design workflows. - Onboard new tools and methods developed by AI scientists and ML engineers into production-ready systems used in commercial partnership campaigns. - Partner cross-functionally with ML researchers, scientists, and platform engineers to translate research code into reliable, scalable systems. - Set engineering standards for LSAI software - design reviews, CI/CD, testing, observability, reproducibility - and mentor senior engineers as the team grows. - Diagnose and resolve reliability, performance, and scaling bottlenecks in ### Senior Machine Learning Engineer - Amgen - Location: United States - Remote (remote) - Salary: Not disclosed - Posted: 2026-06-10 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://amgen.wd1.myworkdayjobs.com/Careers/job/United-States---Remote/Senior-Machine-Learning-Engineer_R-246361 - Excerpt: Senior Machine Learning Engineer United States - Remote posted: Posted 2 Days Ago ### Intermediate Backend Engineer, Database Automation (Ruby) - GitLab - Location: Remote, India (remote) - Salary: Not disclosed - Posted: 2026-04-20 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/gitlab/jobs/8481029002 - Excerpt: Intermediate Backend Engineer, Database Automation (Ruby) Remote, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As an Intermediate Backend Engineer in the Database Automation team, you'll develop and enhance the frameworks, patterns, and tooling that keep GitLab's application datastores scalable, healthy, and safe across GitLab.com and ### Senior Software Engineer, AI Retrieval - Asana Inc - Location: Warsaw (unspecified) - Salary: Not disclosed - Posted: 2026-06-03 - 401(k) match: listed (not source-backed) - Apply: https://www.asana.com/jobs/apply/7978649?gh_jid=7978649 - Excerpt: Senior Software Engineer, AI Retrieval Warsaw The AI Retrieval team powers the intelligence behind Asana's AI features by finding relevant work graph content and delivering it to LLM context windows. Our work enables AI features that truly understand your work-both within and outside of Asana-and use that understanding to take action. We also own Asana's traditional search experience. As a Senior Software Engineer on the AI Retrieval team, you'll build the systems that make Asana's AI smart and responsive. You'll tackle challenging problems in search and retrieval, working to improve the speed, cost-efficiency, and quality of our systems while expanding their capabilities to new data sources. This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements. We offer a Contract of Employment (UoP) for our employees in Poland. What you'll achieve - Reduce the latency and cost of our retrieval system, making Asana's AI features faster and more efficient - Improve the quality and relevance of search results to help users find exactly what they need - Expand the retrieval system's capabilities to query new Asana objects and third-party data sources - Build and optimize search infrastructure using OpenSearch/ElasticSearch - Contribute to ML-powered features like embeddings-based retrieval and semantic search - Collaborate with cross-functional ### Process Engineering SME - Aptiv - Location: Lisbon, Portugal (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - 401(k) match: listed (not source-backed) - Apply: https://aptiv.wd5.myworkdayjobs.com/APTIV_CAREERS/job/Lisbon-Portugal/Process-Engineering-SME_J000683508 - Excerpt: Process Engineering SME Lisbon, Portugal posted: Posted 30+ Days Ago ### Associate Director, Neuroscience Operations - Ipsen - Location: Cambridge (US) (unspecified) - Salary: Not disclosed - Posted: 2026-06-02 - 401(k) match: listed (not source-backed) - Apply: https://ipsen.wd103.myworkdayjobs.com/Ipsen_Careers/job/Cambridge-US/Associate-Director--Neuroscience-Operations_R-21594 - Excerpt: Associate Director, Neuroscience Operations Cambridge (US) posted: Posted 10 Days Ago ### Machine Learning Engineer (MLOps), Evaluation - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $147K-$272K - Posted: 2026-04-03 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200655674/machine-learning-engineer-mlops-evaluation?team=SFTWR - Excerpt: Machine Learning Engineer (MLOps), Evaluation Cupertino, United States of America We are seeking a highly experienced Machine Learning Engineer to build, deploy, and optimize Large Language Model (LLM)-based applications, with a strong emphasis on MLOps/LLMOps (LLM operations) and scalable production systems. At Apple, we believe in creating technology that enriches lives and empowers creativity. You'll play a pivotal role in developing Apple Intelligence, driving the next generation of groundbreaking products across all Apple platforms. The team is a growing group that works closely with product, ML research, Data Science and infrastructure teams, to ensure the successful delivery of Apple Foundation models and Apple Intelligence evaluations. We are looking for a Machine Learning Engineer focusing on MLOps/LLMOps infrastructure to build a next generation LLM-powered evaluation systems. In this role, you will be instrumental in scaling our internal evaluation platform, building automation and self-service tools, and ensuring the reliability and efficiency of large-scale LLM services. You will have the opportunity to create huge impacts across all AI products through innovations. Explore, design and implement advanced ML Infrastructure framework and tools. Establish standard methodologies for model integration, deployment, and monitoring using CI/CD principles. Ensure LLM services are scalable, efficient, and secure for high-traffic LLM services. Champion model observability, incident response, prompt versioning, and feedback loops. Use your ingenuity and creativity to resolve complicated and/or novel product and engineering challe Implement processes and frameworks for the continuous quality improvement of Apple Intelligence, fostering excellence and reliability. Work closely with data scientists, frontend engineers, product ### Senior Research Associate (Contractor) - Freenome - Location: Brisbane, California (unspecified) - Salary: Not disclosed - Posted: 2026-05-15 - Apply: https://job-boards.greenhouse.io/freenome/jobs/8545662002 - Excerpt: Senior Research Associate (Contractor) Brisbane, California About this opportunity: At Freenome, we are seeking a Senior Research Associate to help grow our Genomics Assay Development team. At Freenome, you will help develop the assay technologies used to analyze patient samples and contribute to our mission of early cancer detection. The ideal candidate will work to develop assay technologies for our multiomic platform manually and on robotic platforms. You will develop, characterize, verify, and validate clinical-grade assays to measure complex, blood-based analytes (e.g., whole-genome sequencing of cfDNA). You will work cross-functionally with Research & Development teams, automation and process engineering, computational science, and clinical operations to develop and transfer NGS-based assays in a regulated, high-throughput environment. You are passionate about developing life saving diagnostics using NGS technologies, and you will have a significant impact on the continued growth of an organization dedicated to changing the entire landscape of cancer. The role reports to the Manager of Genomics Late Stage Development. This role will be an onsite role based in our Brisbane, California headquarters. What you'll do: - Apply knowledge of molecular biology, nucleic-acid biochemistry, and next-generation sequencing to develop assays for DNA, including genome-wide and targeted approaches - Participate in experimental design and independently plan and execute mission-critical experiments to optimize and characterize assay performance - Create and manipulate high impact assay inputs, including use of biological samples and formulation of contrived samples and reagents as required - Gather high-quality data, take detailed notes, and openly communicate on lessons learned while ### Bioinformatics Researcher II - Ultima Genomics - Location: Tel Aviv District, Israel (unspecified) - Salary: Not disclosed - Posted: 2026-04-20 - Apply: https://job-boards.greenhouse.io/ultimagenomics/jobs/5973935004 - Excerpt: Bioinformatics Researcher II Tel Aviv District, Israel Rapidly Growing Life Sciences Technology Company Ultima Genomics is a rapidly growing company that is developing ground-breaking genomics technologies. Our mission is to continuously drive the scale of genomic information to enable unprecedented advances in biology and improvements in human health. We have developed a foundational new approach to sequencing at scale that overcomes limitations due to the high costs of current technologies. We are well-funded and have raised approximately $600 million from global top-tier investors. Our team brings together unique and diverse expertise across multiple disciplines, from healthcare and life sciences, to engineering, to technology and software and beyond. We are a collaborative group, including successful entrepreneurs, chemists, hardware and software engineers, genomics and biotechnology experts, molecular and computational biologists, software and algorithm experts, and operations and commercial leaders. Join us to develop and commercialize technologies that unleash the power of genomics at scale and empower the future of human health. We are looking for a highly motivated Bioinformatics Researcher II to join our team! As a Bioinformatics Researcher, you will design and execute analyses on Ultima sequencing data. You will join our R&D team in Israel to develop computational methods and scalable pipelines that turn raw data into clear biological insights, working at the intersection of biology, computing, and AI. How You'll Contribute - Build and run pipelines: Design and execute analysis pipelines on sequencing data in a cloud-based environment - Work across teams: Collaborate with lab scientists, bioinformatic scientists, data ### EMEA Account Executive (German speaking) - Deepgram - Location: London, UK | Remote | EMEA | Remote (remote) - Salary: Not disclosed - Posted: 2026-06-07 - Apply: https://jobs.ashbyhq.com/deepgram/f8b9322f-67a4-448f-bd2c-e9a102c4a55d - Excerpt: EMEA Account Executive (German speaking) London, UK | Remote | EMEA | Remote COMPANY OVERVIEW Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are 'Powered by Deepgram', including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram's voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. COMPANY OPERATING RHYTHM At Deepgram, we expect an AI-first mindset-AI use and comfort aren't optional, they're core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and ### Account Executive - LATAM - ElevenLabs - Location: Mexico, Argentina (unspecified) - Salary: Not disclosed - Posted: 2026-01-22 - Apply: https://jobs.ashbyhq.com/elevenlabs/3953e70b-86e8-47a0-9300-3113f64f5d44 - Excerpt: Account Executive - LATAM Mexico, Argentina About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don't have job titles. Instead, it's about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster ### Senior Machine Learning Engineer - HoneyBook - Location: Tel Aviv, Tel Aviv-Yafo, Gush Dan, Israel (unspecified) - Salary: Not disclosed - Posted: 2026-06-03 - Apply: https://jobs.ashbyhq.com/honeybook/59509ad0-ac4d-449c-860a-df5a70340913 - Excerpt: Senior Machine Learning Engineer Tel Aviv, Tel Aviv-Yafo, Gush Dan, Israel HoneyBook is the leading AI-powered business management platform for service-based business owners. Designed to enhance - not replace - independent professionals. HoneyBook's AI-powered tools help businesses attract leads, connect with clients, book projects, and manage payments more efficiently. With AI seamlessly integrated into every workflow, entrepreneurs can focus on their craft while scaling their businesses with confidence. Since its founding in 2013, HoneyBook has powered over 25 million client relationships and processed more than $12 billion in transactions, helping independent businesses grow faster and smarter. Our culture is built on five core values that inform everything we do. We encourage collaboration, feedback, ownership, and maintain a growth mindset. We know experience comes in many forms - some visible on your resume, others not. No one candidate will be a 100% perfect match to our description, so if you thrive in a fast-paced, intellectually curious environment and have relevant experience, we encourage you to apply. We're looking for a ML Engineer to join our Data team in Tel Aviv. Our team sits at the heart of HoneyBook's data stack - we build and maintain the infrastructure, pipelines, and AI-powered systems that DS, product, marketing and other stakeholders rely on to move fast and make smart decisions. What you'll work on: - Integrate and productionize LLM-based systems: from prompt registries and model gateways to agentic workflows - with a focus on reliability, observability, and cost efficiency. - Own our core MLOps ### Senior AI Engineer, Voice Platform - ClickUp - Location: United States (unspecified) - Salary: Not disclosed - Posted: 2026-05-20 - Apply: https://jobs.ashbyhq.com/clickup/ab3a5c0c-7f86-47e7-9001-055598908b6a - Excerpt: Senior AI Engineer, Voice Platform United States At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Role Overview You'll own and evolve the AI systems behind ClickUp's voice platform: real-time streaming transcription, intelligent reformatting, context-aware mention detection, and voice-to-action pipelines. This is a high-impact, hands-on role where you'll push the boundaries of what voice interfaces can do inside a productivity tool used by millions. Key Responsibilities - Design, build, and optimize real-time speech-to-text pipelines (streaming ASR, VAD, audio processing) - Improve transcription accuracy through context injection (user names, teams, custom vocabulary, language detection) - Develop and maintain LLM-powered post-processing (grammar correction, filler removal, mention resolution, formatting) - Build voice-to-action systems that parse natural language into structured workspace commands - Evaluate, benchmark, and integrate ASR models (Whisper, AssemblyAI, Fireworks, etc.) for cost, latency, and accuracy - Collaborate with product and platform teams to ship voice features across MAX Desktop, Mobile, Web, and Browser Extension - Explore multimodal AI capabilities (screen + voice + text) for next-gen assistant experiences Unsure if you meet all the qualifications of this job description but are deeply excited about the role? We hire based on ambition, grit, and a passion for improving the way people ### Financial Analyst, AI Transformation Program - Google - Location: San Jose, CA, USA (unspecified) - Salary: $116K-$167K - Posted: 2026-06-05 - 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=CiUAL2FckbL7OKMxJsIK66V-X5Dd1DPF2dSpP3cxLCkVuWcTfJrkEjsACxwdTOn9XXh_9LlteeteBomfQyKZkPdUOcdPNWVWVDac6ICgAjotQYF1ZTnWUL_hMRBsCUGI5fZodw%3D%3D_V2&loc=US&title=Financial+Analyst - Excerpt: Financial Analyst, AI Transformation Program San Jose, CA, USA Core builds the technical foundation behind Google's flagship products, with a mission to "make Google work better for everyone, and at scale." As part of this mission, Core is leading a company-wide AI Transformation program with a goal to meaningfully accelerate Alphabet's velocity, improve user experience, reduce risk, and become Customer One through responsibly expanding the use of GenAI, engineering, and process transformation. The Core Finance team serves as trusted advisors to the Core business leadership team to help make optimal investment decisions. As part of the Core Finance organization, the AI Transformation Finance team partners with leaders across Alphabet (including Core) to mature spend governance practices and realize efficiencies resulting from AI transformation efforts. As a Financial Analyst within our AI Transformation Finance team, you will serve as a strategic orchestrator of financial visibility, driving clarity across our high-stakes, cross-functional initiatives. You will not only manage comprehensive financial synthesis, but proactively shape the narrative of our financial performance, functioning as a critical partner to leadership by transforming complex inputs into actionable, high-impact insights. This is an exciting role for an applicant who thrives at the intersection of data governance and strategic business partnership. You will be instrumental in bridging the gap between raw financial data and executive decision-making, ensuring that our team maintains the momentum, discipline, and strategic alignment necessary to successfully execute Alphabet's mission-critical AI Transformation goals. Individual pay is determined by factors including job-related skills, experience, and relevant ### Intern - AI‑Driven Process Development Deposition & Ion implantation - Micron Technology, Inc. - Location: Fab 10N/X, Singapore (unspecified) - Salary: Not disclosed - Posted: 2026-05-14 - 401(k) match: listed (not source-backed) - Apply: https://micron.wd1.myworkdayjobs.com/External/job/Fab-10NX-Singapore/Intern---AI-Driven-Process-Development-Deposition---Ion-implantation_JR100559 - Excerpt: Intern - AI‑Driven Process Development Deposition & Ion implantation Fab 10N/X, Singapore posted: Posted 29 Days Ago ### Sr Machine Learning Engineer, Tech Lead — Autograder Systems, Evaluation - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $181K-$318K - Posted: 2026-04-24 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200628183/sr-machine-learning-engineer-tech-lead-autograder-systems-evaluation?team=MLAI - Excerpt: Sr Machine Learning Engineer, Tech Lead — Autograder Systems, Evaluation Cupertino, United States of America We are looking for a Senior MLE Tech Lead to join a centralized evaluation organization and define the next generation of autograder quality across 20+ of Apple's most visible generative AI features. You will own the end-to-end technical vision for how we evaluate model outputs at scale - pioneering state-of-the-art methods, raising the technical bar, and leading a team of talented MLEs to build a robust autograder training and hillclimbing system from the ground up. This is a high-impact, hands-on leadership role at the intersection of model evaluation, data quality, and ML systems engineering. You will work closely with model developers, data teams, and product partners to ensure our autograders are fast, accurate, and continuously improving - directly shaping the quality of AI experiences used by hundreds of millions of people. In this role you will focus on: Technical Leadership * Define and drive the technical roadmap for autograder quality - researching and introducing novel methods such as reward modeling, LLM-as-judge, preference learning, and calibration techniques to measurably improve evaluation accuracy. * Architect and lead the build-out of a scalable autograder training pipeline encompassing data curation, model fine-tuning, evaluation harnesses, and versioning. * Design and own the hillclimbing system that iteratively improves autograder performance through systematic prompt and model optimization loops. * Establish quality benchmarks, confidence metrics, and failure analysis frameworks that enable the team to track, trust, and act on autograder outputs. People & ### Enterprise Security Engineer - Benchling - Location: San Francisco, CA | Hybrid | Remote (hybrid) - Salary: Not disclosed - Posted: 2026-06-07 - 401(k) match: listed (not source-backed) - Apply: https://jobs.ashbyhq.com/benchling/b1828d61-38fe-4a28-9631-add78cacc4dd - Excerpt: Enterprise Security Engineer San Francisco, CA | Hybrid | Remote We are rebuilding biotech for the AI era. When a breakthrough is delayed, the world waits. Getting a molecule from discovery to patients, or a crop from lab to field, involves thousands of slow, manual, disconnected steps. AI has the potential to change this, compressing decades of R&D work into years. But that only happens when clean, structured scientific data and AI are built into how science gets done. Benchling is the AI platform for biotech R&D. Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows. Over 200,000 scientists around the world trust Benchling to power their most important work, from academic labs to Sanofi, Moderna, and more than half of the world's top 50 biopharma. We're building an AI scientist for our customers. We can't do that if we haven't built the muscle ourselves. AI fluency is the foundation we build on; it's core to how we work, and we're committed to helping every new hire integrate it into their day-to-day. As part of our interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today. ROLE OVERVIEW As an Enterprise Security Engineer at Benchling you'll be joining a team responsible for building a best-in-class security program from the ground up. ### Software Engineer, Developer Platform - Benchling - Location: San Francisco, CA | Hybrid | Remote (hybrid) - Salary: Not disclosed - Posted: 2026-06-07 - 401(k) match: listed (not source-backed) - Apply: https://jobs.ashbyhq.com/benchling/c83238cc-1f7c-4216-b2a5-418306ca4d2b - Excerpt: Software Engineer, Developer Platform San Francisco, CA | Hybrid | Remote We are rebuilding biotech for the AI era. When a breakthrough is delayed, the world waits. Getting a molecule from discovery to patients, or a crop from lab to field, involves thousands of slow, manual, disconnected steps. AI has the potential to change this, compressing decades of R&D work into years. But that only happens when clean, structured scientific data and AI are built into how science gets done. Benchling is the AI platform for biotech R&D. Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows. Over 200,000 scientists around the world trust Benchling to power their most important work, from academic labs to Sanofi, Moderna, and more than half of the world's top 50 biopharma. We're building an AI scientist for our customers. We can't do that if we haven't built the muscle ourselves. AI fluency is the foundation we build on; it's core to how we work, and we're committed to helping every new hire integrate it into their day-to-day. As part of our interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today. ROLE OVERVIEW At Benchling, our mission is to empower scientists to accelerate discoveries that change the world. As a Software Engineer on the Developer ### Machine Learning Engineer - Zoom Communications, Inc. - Location: Seattle (WA) (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://zoom.wd5.myworkdayjobs.com/zoom/job/Seattle-WA/Machine-Learning-Engineer_R19190 - Excerpt: Machine Learning Engineer Seattle (WA) posted: ### Software Engineer (GenAi - AI Agents), AI & Data Platforms (AiDP) - Apple - Location: Sunnyvale, United States of America (unspecified) - Salary: $181K-$318K - Posted: 2026-02-04 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200631957/software-engineer-genai-ai-agents-ai-data-platforms-aidp?team=CORSV - Excerpt: Software Engineer (GenAi - AI Agents), AI & Data Platforms (AiDP) Sunnyvale, United States of America We are looking for a passionate and experienced Software Engineer to help build the foundation of Apple's next-generation Generative AI platform. This role blends deep systems thinking, scalable backend development, and cutting-edge GenAI technologies such as Agentic frameworks and Retrieval-Augmented Generation (RAG). You will design and implement large-scale, secure, and highly available systems, while collaborating across teams to drive the future of intelligent experiences. If you're excited about building production-grade GenAI infrastructure and solving hard distributed systems problems, this is your opportunity to make a lasting impact at scale. An ideal candidate should be a strong programmer and a creative problem solver who thrives in a fast-paced environment, working across teams and organizations. You enjoy learning new technologies and have deep interest in either client/systems software design and programming or server side distributed system software development. You take responsibility; you feel a personal stake in the product you ship and for the end-user of it; you communicate responsibilities and scope clearly. Leading effort to build large scale, distributed and highly available system and pipelines. Enterprise Agent Orchestration: Architect and implement complex, stateful multi-agent workflows using LangGraph, Google ADK. Working on problems in an agentic context: distributed state persistence, message consensus between agents (A2A), and handling non-deterministic failures in long-running loops, context engineering, agentic memory Work with cross functional teams to drive requirements. Design and implement as per secure guidelines Work with QA to identify ### Software Engineer III, AI Powered Rust - Google - Location: Munich, Germany (unspecified) - Salary: EUR 106K-109K - Posted: 2026-06-08 - 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=CiUAL2FckRVyTYkR9773kp_XFfl_3pv04-wpk4WrWwBUQMCOadMwEjsACxwdTI6kpfYGPv0dTpFagCbHYgcqctuT4pIpqKSn2qE1QBxYYWFovhdDLIj0Jwvw8cWjj-rlq2Thtw%3D%3D_V2&loc=DE&title=Software+Engineer+III - Excerpt: Software Engineer III, AI Powered Rust Munich, Germany 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. Rust is a modern programming language for building memory safe software that can match C++ in performance and resource efficiency. It's a critical component of Google's long-term goal to increase adoption of memory safe languages across the company. We empower Googlers to be productive by providing developer tools, services, and support for the languages that underpin Google's core products and services. In this role, you will be building and leveraging AI to translate C/C++ code to Rust. You will contribute to a critical foundation for Google's future, ensuring that we can scale memory safety rapidly and efficiently while maintaining the performance, reliability, and usability ### Associate Solution Engineer - Snowflake Inc. - Location: SE-Stockholm-MSO, Stockholm, Sweden (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - 401(k) match: listed (not source-backed) - Apply: https://jobs.ashbyhq.com/snowflake/c0d03ec9-2bfa-497b-b6a6-e045d1801206 - Excerpt: Associate Solution Engineer SE-Stockholm-MSO, Stockholm, Sweden At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is built on a culture of impact and innovation. We are looking for an Associate Solution Engineer who is ready to solve complex data challenges and help enterprises realize the full potential of the AI Data Cloud . In this role, you will partner with account teams to understand customer needs, strategize on technical evaluations, and demonstrate why Snowflake is the premier platform for the AI and data frontier. The Role - Present & Vision-Set: Deliver Snowflake's technology story to everyone from technical contributors to C-suite executives. - Hands-on Proof: Conduct deep-dive demos and Proofs of Concept (POCs) that translate features into tangible business value. - Healthy Consumption: Act as a trusted advisor to ensure customers are using Snowflake efficiently and effectively, driving long-term value and ### Belarusian Language Specialist - Freelance AI Trainer Project - Agency - Location: Poland (unspecified) - Salary: $8-$65/hr - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/agency/jobs/4660179101 - Excerpt: Belarusian Language Specialist - Freelance AI Trainer Project Poland Are you an experienced Belarusian language professional eager to shape the future of AI? Large-scale language models are evolving rapidly, moving beyond simple chatbots into powerful engines of learning, communication, and cultural understanding. With high-quality training data, tomorrow's AI can deliver more natural, accurate, and contextually rich Belarusian experiences across education, accessibility, and global communication. That training data begins with you-your expertise will help power the next generation of AI. We're looking for a highly skilled Belarusian language specialist who can bring linguistic depth, cultural context, and precision to training data. You'll work with cutting-edge AI tools, evaluate and refine Belarusian text outputs, and provide expert feedback on grammar, syntax, semantics, style, and cultural appropriateness to strengthen model performance. On a typical day, you will review and annotate Belarusian content, assess AI-generated outputs for accuracy and fluency, identify and document error patterns, and collaborate with our team to refine prompts, evaluation methods, and linguistic guidelines. Fluency in Belarusian is required, along with demonstrated experience in translation, linguistics, language teaching, editing, or related professional work. Experience in training, coaching, or linguistic annotation is a plus. Clear communication skills, cultural knowledge, and attention to detail are essential. Ready to channel your Belarusian expertise into building the AI tools of tomorrow? Apply today and help shape the model that will support millions of Belarusian speakers worldwide. We offer a pay range of $8 to $65 per hour, with the exact rate determined after evaluating ### Postdoctoral Fellow - Analytical Development & Quality Control, Bouvarel & Camperi Labs - Genentech, Inc. - Location: South San Francisco, California, United States of America (unspecified) - Salary: Not disclosed - Posted: 2026-06-02 - 401(k) match: listed (not source-backed) - Apply: https://roche.wd3.myworkdayjobs.com/ROG-A2O-GENE/job/South-San-Francisco/Postdoctoral-Fellow---Analytical-Development---Quality-Control--Bouvarel---Camperi-Labs_202606-113861/apply - Excerpt: Postdoctoral Fellow - Analytical Development & Quality Control, Bouvarel & Camperi Labs South San Francisco, California, United States of America Exciting opportunity for a Postdoctoral Fellow to lead next-generation analytical development in advanced liquid chromatography and mass spectrometry. Join our innovative team to drive biotherapeutic research, collaborate internationally, and shape control strategies for complex, high-impact biotherapeutics. Grow your career with cutting-edge science and impactful projects at Genentech. --- Source-backed benefit claims include source links; other benefit values are labeled separately.