Adaptyv jobs

Internship Bioengineering / Molecular Biology Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE This is an internship for an exceptional molecular biologist who wants to do the most serious work of their life so far. You won't shadow people or run busywork - you'll own real production workflows: cloning, protein expression, purification, and characterization, on the systems that serve our customers every day. We run a high-throughput, heavily automated lab, and we

Director Of Engineering - ADAPT Gurugram

Senior Member of Technical Staff: ML Systems and Infrastructure Bangalore, India About DevRev At DevRev, we're building the future of work with Computer - your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers - updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. What You'll Do: - Architect the Future of AI Infrastructure: You will design, build, and own the end-to-end platform that supports the entire lifecycle of our ML models-from massive-scale distributed training to ultra-low-latency, highly-available inference. - Optimize and Serve Cutting-Edge Models: You'll implement and scale sophisticated inference stacks for LLMs using frameworks like vLLM, TensorRT-LLM, or SGLang . You'll solve complex challenges in throughput, latency, token streaming, and automated scaling to deliver a seamless user experience. - Empower AI Innovation: You will act as a strategic partner to our AI Research and Data Science teams. You'll create a seamless developer experience that accelerates their ability to experiment, fine-tune, and deploy groundbreaking models with velocity and confidence. - Automate Everything: You'll develop robust CI/CD/CT (Continuous Training) pipelines using tools like Argo

Junior Full-Stack Engineer Ljubljana, Ljubljana, Slovenia About DevRev At DevRev, we're building the future of work with Computer - your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers - updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. Job Description: The Applied AI Engineering team at DevRev is responsible for architecting and building solutions that deliver the optimal experience for our customers. As customers progress through their DevRev journey, they may require integrations with enterprise systems, workflow automation, or custom enhancements to the platform. As a Junior Applied AI Engineer, you will work alongside experienced engineers and cross-functional teams to help design and implement integrations, automations, and AI-driven solutions. You will gain hands-on experience applying AI/ML techniques, coding, and building scalable solutions that enhance the customer experience, while receiving mentorship to grow your technical and problem-solving skills. Objectives: - Assist in designing, developing, and implementing integrations, automations, and customizations across DevRev and customers' workflows. - Apply AI techniques, including Generative AI and prompt engineering, under guidance from senior team members. - Conduct basic

Senior Machine Learning Engineer, Animation Integration Genies LA, Los Angeles, California, U.S., Genies San Francisco Genies is an AI avatar technology company powering the visual and embodiment layer for AI. Through the Genies SDK, their proprietary avatar framework brings AI to life as fully realized AI personas that look, think, behave, and play like living identities. Genies powers AI companion, NPC, and agent use cases across enterprise, consumer, creator, entertainment, and gaming. Genies has raised $200M from Silver Lake, BOND, and Bob Iger. Genies is built on the belief that every website, app, game, brand, and human will have an AI persona. Genies is looking for a Senior Machine Learning Engineer to join our Avatar Technology team, focused on building the next generation of AI-driven animation systems. This role is focused on integrating machine learning systems into production animation pipelines and realtime environments, while also owning the applied ML work required to make these systems effective in practice. You will work across data, modeling, and runtime systems to ensure ML-driven animation performs reliably and at high quality in production. What You'll Be Doing: - Integrate machine learning models into realtime animation systems across mobile and web environments. - Develop systems that translate inputs such as audio, text, and intent into responsive avatar motion in production. - Work with generative models (e.g., diffusion, transformer-based systems) and adapt them for specific use cases such as facial animation, gesture generation, and character behavior. - Collect, process, and manage animation datasets (mocap, facial capture,

Machine Learning Services Engineer - Firefly Bucharest posted: Posted 30+ Days Ago

LycPrev 29Nov PT Edited Lagos, LA, Nigeria Maatskappybeskrywing: ComCompany Descriptionpany Description Beskrywing van betrekking: Kwalifikasies: Bykomende inligting: Lyceca Additional Information Additional info

Machine Learning Engineer, AV Engineering Israel About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us-we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The role We are hiring Senior and Staff ML Engineers that sit within Safety Systems / autonomy organisations, building critical behaviours for Level 2 to level 4 driving. It is highly product-focused: you will train and iterate on end-to-end driving models and get them shipped into the car on a fast timeline measured in months. The opportunity is to own the full loop from data and training through evaluation and on-road validation, with direct impact on high-priority commercial deliveries (including the Nissan MVP). You will join a small, high-ownership teams at the point of rapid growth, where execution and

Forward Deployed Engineer - Applied AI Japan Remote About DevRev At DevRev, we're building the future of work with Computer - your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers - updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. Forward Deployed Engineer As a Forward Deployed Engineer at DevRev, you will work closely with our pre- and post-sales Customer Experience team by developing solutions over the core platform via applications written in TypeScript, JavaScript, Python, etc. One of the key functions of this role is, building the Knowledge Graph that includes integration of DevRev with other SaaS and non-SaaS systems through webhooks and APIs and/ or real-time communication architectures. You will be expected to employ your creativity and expertise to ideate and shape how AI, analytics and workflows are used in customers' processes. What You'll Do - Customer-facing: 30% working directly with customers Coding & Integration: 70-80% hands-on technical implementation - Build & Deploy Solutions: Design, develop, and launch AI agents, integrations, and automations that connect DevRev with customers' existing tech stacks

Machine Learning Engineer Remote-Germany posted: Posted 10 Days Ago

Machine Learning Engineer Belfast - 20 Adelaide Street posted: Posted 30+ Days Ago

Senior Machine Learning Engineer, Video Quality Systems Cupertino, United States of America Apple's Camera ISP Algorithm team is looking for dedicated engineers to shape the future of photography and video across all Apple products. You'll work on powerful camera technology, image signal processing, and machine learning, literally defining what makes an Apple camera better. As part of the Camera ISP Algorithm team, you'll have real creative freedom to innovate and iterate quickly, interacting directly with silicon design, camera HW/SW, and QA teams. If you're a self-starter who wants to see your ideas go from concept to product, this is your chance to make an impact on how people capture life's most meaningful moments! As a Senior Machine Learning Engineer, you will tackle one of the most persistent challenges in video technology: reliably measuring perceived visual quality at scale. While human expert evaluation remains the gold standard for accuracy, it is resource-intensive and slow. Conversely, traditional automated metrics offer speed, but often fail to correlate meaningfully with human perception. You will be an expert in designing a hybrid evaluation framework. By leveraging large-scale outsourced subjective data, you will characterize the boundaries of existing automated metrics and inject domain and "world knowledge" to apply them only where they are statistically reliable. Ultimately, your goal will be to design and tune novel, explainable metrics. We are explicitly looking for an approach grounded in first principles of signal processing and human vision, rather than relying on opaque, "black-box" machine learning models that simply output

Keyboard Data Collection Project Remote (Worldwide USA) Earn $60 for a 1- 1.5 Hour Smartphone Typing Study Helping Train AI Models for Leading Tech Company Help Shape the Future of Mobile Technology Company: Leading US big tech company Location: Remote (US-based participants) Compensation:$60+ USD upon successful completion Time Commitment: Ongoing Who We're Looking For We are inviting smartphone users to participate in a paid research study focused on improving next-generation keyboard autocorrect, predictive text, and gesture-typing technologies. If you use your iPhone regularly and enjoy contributing to innovative technology projects, we'd love to hear from you. Available Language Profiles We are currently recruiting participants for the following language groups: English Chinese Japanese English + Spanish (Latin America) English + Spanish (Mexico) English + Italian Arabic Portuguese (Brazil) Russian French German Italian Korean Thai Turkish What You'll Do Using a secure mobile application, you will: ✅ Type 100 text prompts exactly as displayed ✅ Complete both standard typing and swipe-typing tasks ✅ Follow a designated typing style (one hand, two thumbs, or index finger) ✅ Contribute valuable data that helps improve mobile typing experiences worldwide No special skills are required - just accuracy and attention to detail. Eligible Devices To participate, you must own one of the following iPhones running the latest iOS version: iPhone 15 Family (iPhone 15, 15 Pro, 15 Pro Max) iPhone 16 Family (iPhone 16, 16 Pro, 16 Pro Max) iPhone 17 Family (Highest Priority: iPhone 17, iPhone 17 Pro, iPhone 17 Pro Max, iPhone 17e, iPhone

Machine Learning Engineer - Evergreen Bucharest posted: Posted 30+ Days Ago

Computational Fluid Dynamics Engineer - AI Trainer Remote (USA), Remote, United States Opportunity Overview Handshake is looking for skilled ParaView users to support AI research through flexible, hourly contract work. This is not a traditional job. You'll draw on your hands-on experience with scientific visualization, fluid dynamics simulation, or large dataset analysis to evaluate AI-generated content and provide feedback that helps AI better understand computational science tasks and HPC workflows. This is an ongoing, project-based opportunity you can take on alongside anything else you have going on. Who This Is For This is a good fit if you're an experienced ParaView user who has worked in or around roles like: - Computational Fluid Dynamics Engineer or Research Scientist - Aerospace Engineer or Applied Mathematician - HPC Specialist or Computational Scientist You should have solid experience with one or more of the following: - Scientific visualization, CFD post-processing, or large dataset analysis using ParaView - Fluid dynamics simulation, VTK workflows, or HPC data pipelines - Annotating or labeling simulation outputs and scientific datasets - Reviewing visualization results for accuracy, performance, or scientific consistency What You'll Do You'll use your experience with ParaView to create tool-related questions and review AI-generated responses for accuracy and relevance to real-world CFD and scientific visualization workflows. No prior AI or technical experience is required. Qualifications We're looking for people who have: - At least 1 year of hands-on experience with ParaView , whether through professional work or freelance projects - A working knowledge of CFD post-processing,

Machine Learning Engineer - Humanoid Robotics China, Shanghai posted: Posted 30+ Days Ago

Forward Deployed Engineer Austin, Texas, United States About DevRev At DevRev, we're building the future of work with Computer - your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers - updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. About the team The Applied AI Engineering team ensures our customers get the optimal experience from DevRev. As customers go through their DevRev journey, they may identify needs for integration with existing enterprise systems and services, workflow and process automation, or customization of the DevRev platform to achieve their business objectives. Our team works with customers to understand requirements and design, develop, and implement solutions to meet customer goals. Your mission is to systematically help customers find value with DevRev by developing a thorough understanding of their needs, owning coordination between internal and external stakeholders, and engineering the solution to get the job done. You are a product expert and will use your application development and AI/ML skills to ensure our customers get the most out of the DevRev platform. About the role As

Integration Engineer Bucuresti, Bucuresti, Romania

Forward Deploy Engineer (AI Platform) Buenos Aires, Argentina About DevRev At DevRev, we're building the future of work with Computer - your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers - updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. Forward Deployed Engineer The Applied AI Engineering team ensures our customers get the optimal experience from DevRev. As customers go through their DevRev journey, they may identify need(s) for integration with existing enterprise systems/services, workflow/process automation or customization/enhancement of the DevRev platform capabilities to achieve their business objectives. Our team works with customers to understand requirements and design, develop, and implement solutions to meet customer goals. Your mission is to systematically help customers find value with DevRev by developing a thorough understanding of their needs, owning the coordination between internal and external stakeholders, and engineering the solution to get the job done. You are a product expert and will use your application development, and AI/ML skills to ensure our customers get the most out of the DevRev platform. Job Description As an Applied

Research Scientist / Engineer - Video Generation Modeling Palo Alto, California, United States At Rhoda AI, we're building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $400M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality. We're looking for Research Scientists and Research Engineers to push the frontier of large-scale pre-training for our video action model. Our approach formulates robot control as video prediction - we pre-train causal video generation models on web-scale video data, then adapt them to predict robot actions from real-world demonstrations. You'll work on the core architectures, training objectives, and scaling strategies that determine how well our models learn from internet-scale video. We hire across levels - from senior to staff - and welcome both research-track and engineering-track candidates. What You'll Do - Design and train large-scale causal video generation models on web-scale video data - Develop and validate training objectives, model architectures, and data mixtures for video prediction at scale - Research scaling laws and data efficiency for web-scale video pretraining - Investigate what properties of web video transfer most effectively to robotic control and action prediction - Build

On-Device Machine Learning Engineer Sunnyvale, United States of America We're starting to see the incredible potential of multimodal foundation and large language models, and many applications in the computer vision and machine learning domain that previously appeared infeasible are now within reach. We are looking for a highly motivated and skilled Machine Learning Integration Engineer to join our team in the Video Computer Vision group and help us ship cutting edge computer vision technology on Apple devices. The Video Computer Vision org has pioneered features such as FaceID, FaceKit, and Gaze and Hand gesture control which have changed the way millions of users interact with their devices. We balance research and product requirements to deliver Apple quality, pioneering experiences, innovating through the full stack, and partnering with HW, SW and AI teams to shape Apple's products and bring our vision to life. As part of the Video Computer Vision (VCV) team, you will deploy purpose-built vision models on Apple devices, developing innovative techniques to optimize their performance, efficiency, and scalability on-device. Convert and integrate foundation models for on-device deployment. Evaluate power and performance of models running on Apple devices. Optimize on-device inference latency and efficiency of CV/ML models. Minimum Qualifications: BS and a minimum of 10 years relevant industry experience. Strong knowledge of model compression techniques such as pruning, distillation, quantization and weight clustering. Solid understanding of operating system and extensive programming experience in Python and C++. Experience working with PyTorch. Experience with machine learning model development lifecycle, including data

Machine Learning Engineer SE - Stockholm, Sweden posted: Posted 30+ Days Ago

Account Executive, Adapt, Amazon Ads Clichy, Ile-de-France, FRA Adapt is seeking an Account Executive to join our European team. This is a permanent position based out of Paris. Amazon Ads is dedicated to driving measurable outcomes for brand advertisers, agencies, authors, and entrepreneurs. Our ad solutions - including Prime Video Ads, Twitch, and Fire TV - leverage Amazon's innovations and insights to find, attract, and engage intended audiences throughout their daily journeys. With a range of flexible pricing and buying models, including self-service, managed service, and programmatic ad buying, these solutions help businesses build brand awareness, increase product sales, and more. We start with the customer and work backwards in everything we do, including advertising. If you're interested in joining a rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you've come to the right place. This role sits within the Adapt team - a pioneering team that's redefining how we approach customer business. Different from traditional teams within Amazon Ads, Adapt combines human expertise with AI-enhanced analytics to revolutionise business continuity and growth. Our team members are agile professionals who thrive on variety, rotating across multiple strategic assignments to address business-critical needs in teams. This innovative model accelerates professional growth through diverse exposure to multiple facets of Amazon Ads, while leveraging technology to enhance customer value delivery. This role will be highly agile and fungible, and will see the individual owning deliverables across multiple teams at once. This role will

Research Scientist / Engineer - Pre-training Data & Evaluation Palo Alto, California, United States At Rhoda AI, we're building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $400M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality. We're looking for Research Scientists and Research Engineers to build the data and evaluation foundations for our video action model. This team owns web-scale video data curation, annotation pipelines, and evaluation methodology - directly determining the quality of the video pretraining distribution and how clearly we can measure model progress. We hire across levels - from MTS-Staff What You'll Do - Design and implement scalable curation pipelines for web-scale video pretraining data: ingestion, deduplication, quality filtering, and content classification across internet-scale video corpora - Develop video-specific annotation frameworks and quality filters - motion quality, scene diversity, action content, temporal coherence - to improve pretraining signal - Build evaluation frameworks and benchmarks to measure causal video model capabilities: prediction quality, temporal coherence, long-horizon rollout fidelity, and downstream robot task performance - Research and implement data selection, mixing, and weighting strategies that improve video generation quality and transfer to