# FewerJobs export - 100 curated jobs Generated: 2026-08-11T17:05:47.656Z Source: https://fewerjobs.com ## Filters applied - **q**: Adaptyv - **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**: 1 - **per_page**: 100 - **sort**: relevance ## Jobs ### Scientist, Protein Expression & Purification - Adaptyv - Location: Lausanne | OnSite (onsite) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/2c8c23dd-dab9-4876-bc0d-a5ffd68a3179 - Excerpt: Scientist, Protein Expression & Purification Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build out protein expression and purification at Adaptyv, with a focus on mammalian systems - CHO and HEK, transient and stable. This is the foundation the rest of the platform stands on: titers, quality, and turnaround here set the ceiling for everything downstream. Your job is to take expression and purification from bespoke, person-dependent protocols to a robust, ### Software Engineer, Lab Automation - Adaptyv - Location: Lausanne | OnSite (onsite) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/13ec6b5a-b759-4260-8eb8-373ab9d6b31a - Excerpt: Software Engineer, Lab Automation Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build work-cell orchestration, instrument drivers, protocol scheduling, error-recovery logic, and monitoring. Physical systems fail in ways pure software doesn't - a plate gets stuck, a liquid handler skips a well, a temperature controller drifts. Your job is to make the system handle all of it gracefully. This is a broad, hands-on role for a strong engineer who wants their ### Lab Technician, Molecular Biology - Adaptyv - Location: Lausanne | OnSite (onsite) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/390f3acd-76cc-4832-b02a-7aafcb48f726 - Excerpt: Lab Technician, 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 We're looking for a skilled Lab Technician to join our Biology team. You'll run our molecular biology and protein production workflows - cloning, transformation, expression, and purification - keeping high-quality, reproducible output flowing to support our protein engineering pipeline. You'll work hands-on with automation and liquid handling, helping turn manual protocols into reliable, high-throughput processes. RESPONSIBILITIES - Perform molecular cloning ### Head of QC & Analytics - Adaptyv - Location: Lausanne | OnSite (onsite) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/055d2310-d1db-4304-baa3-15597546e760 - Excerpt: Head of QC & Analytics 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. THE ROLE We are looking for a Head of QC & Analytics to own the quality and data integrity of everything that comes out of our foundry. As we scale to tens of thousands of samples across hundreds of simultaneous experiments and conditions, the robustness of our analytical readouts and the reliability of our data pipelines become mission-critical. This is a hands-on ### Community Manager - Adaptyv - Location: Lausanne / Hybrid / Remote | Hybrid | Remote (hybrid) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/5a44f0eb-8d0d-4b04-9d51-9933f899aeaf - Excerpt: Community Manager Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll be the person who makes sure Adaptyv shows up well in public, every day. That means managing our social presence across X and LinkedIn, running the Proteinbase https://proteinbase.com community, owning the participant side of our open competitions and hackathons, and triaging inbound community and customer messages. Whatever it takes to keep our community-facing surface area ### Scientist, Antibody Developability - Adaptyv - Location: Lausanne | OnSite (onsite) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/206ef8b0-0a46-4a55-8aa9-ed495c165d53 - Excerpt: Scientist, Antibody Developability Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build out antibody developability at Adaptyv - the panel of assays that separates a nice binder from a manufacturable, stable, well-behaved therapeutic. Aggregation, thermostability, self-association, polyreactivity, solubility, viscosity, and chemical liabilities: you'll build the experimental stack that flags these early, and make it something customers can order as a product. These assays exist today as a scattered, bespoke collection. Your ### Forward Deployed Scientist - Adaptyv - Location: Lausanne / Hybrid / Remote | Hybrid | Remote (hybrid) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/6f9f629e-ca05-4cdf-8967-667c88eb19e2 - Excerpt: Forward Deployed Scientist Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You're a scientist on staff who works shoulder-to-shoulder with customers to help them design better proteins and get more out of every experiment. You sit between their design models and our lab: helping them scope a campaign, pick the right design approach for the problem, make sense of the data that comes back, and decide ### Lab Automation Internship - Adaptyv - Location: Lausanne | OnSite (onsite) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/1f3b5a4d-4d5f-479c-9496-faa3de0d5ff7 - Excerpt: Lab Automation Internship 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 We're scaling our automated lab fast, and the automation team builds and maintains the work cells that make high-throughput biology possible - Hamilton liquid handlers, robot arms, plate readers, BLI/SPR instruments, all orchestrated by LabOS. We're looking for a Lab Automation Intern to work hands-on with that team in Lausanne: building and running automated protocols, helping bring new instruments online, and ### Wildcard Application - Adaptyv - Location: Lausanne / Hybrid / Remote | Hybrid | Remote (hybrid) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/3204f0c1-1e66-471c-96ff-7825dbf56e61 - Excerpt: Wildcard Application Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. READ THIS FIRST This is not a "submit your CV and see what happens" posting. We open one of these because occasionally someone comes along who is so obviously exceptional that not having a role for them would be our mistake, not theirs. That person is rare. If you're applying because none of our open roles quite fit but ### Founders Associate - Adaptyv - Location: Lausanne | OnSite (onsite) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/0fd9c492-3cb2-4cce-b495-3cab095a4fa6 - Excerpt: Founders Associate 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 Adaptyv is growing fast. We are significantly expanding our lab this year, onboarding more and more customers every week, and building the systems needed to keep the company running smoothly as we scale. We are looking for a Founders Associate to own and build the operational backbone of the company as we scale. This is a high-ownership generalist role: you'll take entire ### Lab Automation Engineer - Adaptyv - Location: Lausanne | OnSite (onsite) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/9754e5a7-6597-40de-b52b-04c41f8934e6 - Excerpt: Lab Automation Engineer 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 We build our lab automation ourselves. Instead of buying turnkey systems and running them through a vendor's GUI, we reverse-engineer instruments, control them with open-source Python tooling like PyLabRobot and PyHamilton, and build the software and hardware to turn a pile of instruments into work cells that run biology around the clock. We're looking for a Lab Automation Engineer to help ### Forward Deployed Engineer - Adaptyv - Location: Lausanne / Hybrid / Remote | Hybrid | Remote (hybrid) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/3377f1b8-10b8-45c3-b03c-1c065b4f8608 - Excerpt: Forward Deployed Engineer Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You're the bridge between Adaptyv's lab and the people designing proteins. Protein design platforms, pharma teams, AI labs, and biotech startups all have the same problem: they can generate designs far faster than they can test them. Your job is to close that gap - to embed with a customer, understand their pipeline, and wire ### Bioengineer / Molecular Biologist - Adaptyv - Location: Lausanne | OnSite (onsite) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/a83daf13-a066-4ca7-b167-a2eefa85fc5a - Excerpt: Bioengineer / Molecular Biologist 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 a hands-on research role in our biology and production team. You'll work on the science that underpins everything Adaptyv does: developing and optimizing protein expression systems, running molecular biology workflows, and pushing the boundaries of what we can produce and characterize at scale. We express proteins at high volume across cell-free and cell-based systems, run DNA synthesis and ### Head of Software Engineering - Adaptyv - Location: Lausanne / Hybrid / Remote | Hybrid | Remote (hybrid) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/11d5013d-e24d-47b5-8dd3-3d5f670f753f - Excerpt: Head of Software Engineering Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll be a player-coach - someone who still ships code but also owns the engineering roadmap, team structure, and technical direction. You'll translate company strategy into engineering priorities, make sure the right things get built in the right order, and help a small, high-output team scale without losing speed. You'll lead a small, technical ### Scientific Account Executive - Adaptyv - Location: Switzerland | Hybrid | Remote (hybrid) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/fe12e2fd-b966-4984-abf8-7b1b535f18fc - Excerpt: Scientific Account Executive Switzerland | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE This is a hybrid sales and customer success role for someone with real scientific depth. You'll be the primary point of contact for customers - from first conversation through ongoing engagement. That means understanding what a protein design team is actually trying to achieve, helping them pick the right assays, making sure their experiments are set up correctly, and ### Scientist, Cell-Based & Functional Assays - Adaptyv - Location: Lausanne | OnSite (onsite) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/9e938c23-156b-46dd-aae3-4d498b778bd3 - Excerpt: Scientist, Cell-Based & Functional Assays Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build out cell-based and functional assays at Adaptyv - the work that proves an antibody or protein actually does something: activates or blocks a receptor, triggers signaling, kills a cell, or modulates an immune response. Cell activation assays, reporter systems, potency assays, and antibody functional readouts are the heart of this role. This is the most interdisciplinary of ### Software Engineer, Product - Adaptyv - Location: Lausanne / Hybrid / Remote | Hybrid | Remote (hybrid) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/34e28741-b3fc-4536-b666-1e690c8f33f5 - Excerpt: Software Engineer, Product Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll work across LabOS - our internal software platform - building the orchestration layer that coordinates everything from experiment scheduling to execution to data capture and results processing. This is full-stack product engineering at the intersection of software and physical-world biology. Day-to-day, that can mean things like: - Creating interfaces and APIs that give scientists ### Scientist, Analytical Characterization (HPLC & Mass Spec) - Adaptyv - Location: Lausanne | OnSite (onsite) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/d2d7c5e8-eaaf-4140-8e44-e1fe1bbe9c3d - Excerpt: Scientist, Analytical Characterization (HPLC & Mass Spec) Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build out analytical characterization at Adaptyv - the forensic layer that tells a customer the truth about their molecule: its identity, purity, integrity, aggregation state, and modifications. HPLC and mass spectrometry are the core of this, applied across the full antibody stack and beyond. This is a build role, not a service-desk role. Today these methods ### Intern, Create Value - Adaptyv - Location: Lausanne | OnSite (onsite) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/23d574c9-91c2-4b35-b3e9-1133a96ea19b - Excerpt: Intern, Create Value 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 student or early-career builder - your shot to do the most serious work of your life so far, on a small team where interns own real problems. Building an automated lab throws off an endless stream of problems, and they don't respect job titles. One week it's a gnarly data pipeline, the next a ### Intern, Protein Design - Adaptyv - Location: Lausanne / Hybrid / Remote | Hybrid | Remote (hybrid) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/0b758124-722a-4557-b16b-5ad38e6b7986 - Excerpt: Intern, Protein Design Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. RESPONSIBILITIES - Run and benchmark open-source protein design methods on real Adaptyv targets, validated against experimental data from our wet lab. - Design binders for internal R&D campaigns, and track experimental performance across success rate, hit rate, kinetics, and developability. - Build computational tooling around the design pipeline: structure prediction, filtering, and ranking, to triage large design pools ### Research Associate (Molecular Biology / Protein engineering) - Adaptyv - Location: Lausanne | OnSite (onsite) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/ba274bda-dce8-4151-8574-2b6d3b215b70 - Excerpt: Research Associate (Molecular Biology / Protein engineering) Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll work in our biology & production team running protein expression, DNA assembly, and characterization workflows. We run thousands of constructs per week across cell-free and cell-based expression systems, high-throughput DNA synthesis and assembly, and binding/stability characterization (BLI, SPR, enzymatic assays). RESPONSIBILITIES - Run protein expression workflows: cell-free (PURE, lysate-based), E. coli, and potentially mammalian systems. - ### Data Scientist, Lab & Protein Data - Adaptyv - Location: Lausanne | OnSite (onsite) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/d15ab16a-2a89-43e5-b8c1-46e1badef5f2 - Excerpt: Data Scientist, Lab & Protein Data Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build out the data science layer of Adaptyv's foundry - the work that turns tens of thousands of raw, messy experimental readouts into clean, trustworthy, structured data that our customers, our models, and our own scientists can rely on. Binding (BLI/SPR), developability, biophysical, and functional assays all produce data at scale; your job is to make that ### Software Engineer, Backend - Adaptyv - Location: Lausanne / Hybrid / Remote | Hybrid | Remote (hybrid) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/d3475c06-3180-4d89-8ecf-8b889cff92bb - Excerpt: Software Engineer, Backend Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build backend systems that make our lab programmable. You'll architect data pipelines that process large-scale protein characterization data, build APIs that integrate laboratory instruments and robotics into our software stack, and work closely with scientists and automation engineers to translate complex molecular biology workflows into reliable, scalable software. This is not SaaS slop, you're ### Business Operations (Intern / Working Student) - Adaptyv - Location: Lausanne | OnSite (onsite) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/3cd49da0-748c-4771-a133-bd67f26d55aa - Excerpt: Business Operations (Intern / Working Student) 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 Adaptyv is growing fast. We are significantly expanding our lab this year, onboarding more and more customers every week, and building the systems needed to keep the company running smoothly as we scale. We are looking for a Business Operations Intern or Working Student to join our operations team in Lausanne. This is a hands-on generalist role where ### Internship Bioengineering / Molecular Biology - Adaptyv - Location: Lausanne | OnSite (onsite) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/b2c0c8b3-55fd-49e2-9c2d-4bc5e58ac414 - Excerpt: 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 - Stage - Location: Gurugram (unspecified) - Salary: Not disclosed - Posted: 2026-06-07 - Apply: https://www.kkr.com/careers/career-opportunities/post?gh_jid=5808286004 - Excerpt: Director Of Engineering - ADAPT Gurugram ### Senior Member of Technical Staff: ML Systems and Infrastructure - DevRev - Location: Bangalore, India (unspecified) - Salary: Not disclosed - Posted: 2025-10-15 - Apply: https://job-boards.greenhouse.io/devrev/jobs/5678778004 - Excerpt: 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 - DevRev - Location: Ljubljana, Ljubljana, Slovenia (unspecified) - Salary: Not disclosed - Posted: 2025-10-14 - Apply: https://job-boards.greenhouse.io/devrev/jobs/5677758004 - Excerpt: 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 - Location: Genies LA, Los Angeles, California, U.S., Genies San Francisco (unspecified) - Salary: Not disclosed - Posted: 2026-04-23 - Apply: https://jobs.ashbyhq.com/genies/b24bf2a1-19b6-4fb9-bfed-739612d58652 - Excerpt: 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 - Adobe Inc. - Location: Bucharest (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/Bucharest/Machine-Learning-Services-Engineer---Firefly_R164500 - Excerpt: Machine Learning Services Engineer - Firefly Bucharest posted: Posted 30+ Days Ago ### LycPrev 29Nov PT Edited - Beamery - Location: Lagos, LA, Nigeria (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - 401(k) match: listed (not source-backed) - Apply: https://jobs.smartrecruiters.com/Beamery/743999700864483-lycprev-29nov-pt-edited - Excerpt: 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 - Wayve - Location: Israel (unspecified) - Salary: Not disclosed - Posted: 2026-03-17 - Apply: https://wayve.firststage.co/jobs?gh_jid=8463919002 - Excerpt: 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 - DevRev - Location: Japan Remote (remote) - Salary: Not disclosed - Posted: 2026-03-31 - Apply: https://job-boards.greenhouse.io/devrev/jobs/5837052004 - Excerpt: 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 - Trulia - Location: Remote-Germany (remote) - Salary: Not disclosed - Posted: 2026-06-02 - Apply: https://zillow.wd5.myworkdayjobs.com/Zillow_Group_External/job/Remote-Germany/Machine-Learning-Engineer_P750556-1 - Excerpt: Machine Learning Engineer Remote-Germany posted: Posted 10 Days Ago ### Machine Learning Engineer - Huron Consulting Group Inc - Location: Belfast - 20 Adelaide Street (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - 401(k) match: listed (not source-backed) - Apply: https://huron.wd1.myworkdayjobs.com/huroncareers/job/Belfast---20-Adelaide-Street/Machine-Learning-Engineer_JR-0013617 - Excerpt: Machine Learning Engineer Belfast - 20 Adelaide Street posted: Posted 30+ Days Ago ### Senior Machine Learning Engineer, Video Quality Systems - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $181K-$318K - Posted: 2026-04-22 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200658012/senior-machine-learning-engineer-video-quality-systems?team=HRDWR - Excerpt: 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 - Mindy - Location: Remote (Worldwide USA) (remote) - Salary: Not disclosed - Posted: 2026-03-12 - Apply: https://jobs.lever.co/mindy/e85ddd99-1cb4-440a-882f-eb663c896e34 - Excerpt: 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 - Adobe Inc. - Location: Bucharest (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/Bucharest/Machine-Learning-Engineer---Evergreen_R158699-1 - Excerpt: Machine Learning Engineer - Evergreen Bucharest posted: Posted 30+ Days Ago ### Computational Fluid Dynamics Engineer - AI Trainer - Handshake - Location: Remote (USA), Remote, United States (remote) - Salary: Not disclosed - Posted: 2026-03-05 - Apply: https://jobs.ashbyhq.com/handshake/218d9072-dd6a-474f-8de8-08d6748e4f56 - Excerpt: 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 - NVIDIA Corporation - Location: China, Shanghai (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - 401(k) match: listed (not source-backed) - Apply: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/China-Shanghai/Machine-Learning-Engineer---Humanoid-Robotics_JR2016809 - Excerpt: Machine Learning Engineer - Humanoid Robotics China, Shanghai posted: Posted 30+ Days Ago ### Forward Deployed Engineer - DevRev - Location: Austin, Texas, United States (unspecified) - Salary: Not disclosed - Posted: 2025-10-31 - Apply: https://job-boards.greenhouse.io/devrev/jobs/5668875004 - Excerpt: 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 - Vodafone Group - Location: Bucuresti, Bucuresti, Romania (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - 401(k) match: listed (not source-backed) - Apply: https://vodafone.eightfold.ai/careers/job/563018696437812 - Excerpt: Integration Engineer Bucuresti, Bucuresti, Romania ### Forward Deploy Engineer (AI Platform) - DevRev - Location: Buenos Aires, Argentina (unspecified) - Salary: Not disclosed - Posted: 2024-07-01 - Apply: https://job-boards.greenhouse.io/devrev/jobs/5220510004 - Excerpt: 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 - Rhoda AI - Location: Palo Alto, California, United States (unspecified) - Salary: Not disclosed - Posted: 2026-05-18 - Apply: https://jobs.ashbyhq.com/rhoda-ai/39f7e0c9-067a-4c14-b041-dc9d68f04451 - Excerpt: 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 - Apple - Location: Sunnyvale, United States of America (unspecified) - Salary: $181K-$318K - Posted: 2026-04-13 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200657024/on-device-machine-learning-engineer?team=MLAI - Excerpt: 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 - Visa Inc. - Location: SE - Stockholm, Sweden (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - 401(k) match: listed (not source-backed) - Apply: https://visa.wd5.myworkdayjobs.com/visa/job/SE---Stockholm-Sweden/Machine-Learning-Engineer_REF080274W - Excerpt: Machine Learning Engineer SE - Stockholm, Sweden posted: Posted 30+ Days Ago ### Account Executive, Adapt, Amazon Ads - Amazon - Location: Clichy, Ile-de-France, FRA (unspecified) - Salary: Not disclosed - Posted: 2026-05-28 - 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/10433423/account-executive-adapt-amazon-ads - Excerpt: 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 - Rhoda AI - Location: Palo Alto, California, United States (unspecified) - Salary: Not disclosed - Posted: 2026-05-27 - Apply: https://jobs.ashbyhq.com/rhoda-ai/56f6d647-0867-485b-ab0d-2f30c8aedffa - Excerpt: 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 ### Lead Machine Learning Engineer - Amperity - Location: Seattle, WA (unspecified) - Salary: $190K-$260K - Posted: 2026-02-28 - Apply: https://amperity.com/careers?gh_jid=7665469#openpositions - Excerpt: Lead Machine Learning Engineer Seattle, WA At Amperity , we're an AI-first company helping the world's leading brands create personalized customer experiences that build loyalty and fuel growth. Our AI-powered Customer Data Cloud, built on multi-patented technology, enables more than 400 global brands , including Alaska Airlines, Wyndham Hotels & Resorts, and DICK'S Sporting Goods, to turn customer data into a competitive advantage. We unlock the full value of customer data with simplicity and speed. AI is at the core of our platform and the way we work - from powering advanced identity resolution and predictive analytics to streamlining internal workflows and decision-making. It's not just a capability; it's part of our DNA. Our team thrives on curiosity, collaboration, and transparency, fostering a culture where everyone can contribute, learn, and grow. We welcome talented individuals from diverse backgrounds to help us remove data bottlenecks, accelerate business impact, and push the boundaries of what AI can do for the world's most innovative companies. With offices in Seattle, New York City, London, and Melbourne, you'll join a fast-growing team tackling critical challenges at the intersection of AI, data, and customer experience. Ready to make an impact? Let's talk. The Role At Amperity, ML Engineers work in small, collaborative, and accountable teams. As a Lead ML Engineer, you'll lead ML projects that span multiple teams, guiding both the technical direction and the platform capabilities that power our AI-driven products. You'll work with Applied Scientists, Software Engineers, Product, and Customer Success teams to deliver ### AIML - Applied ML Research Scientist, Accessibility - Apple - Location: Cupertino, United States of America (unspecified) - Salary: Not disclosed - Posted: 2026-03-31 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200654855/aiml-applied-ml-research-scientist-accessibility?team=MLAI - Excerpt: AIML - Applied ML Research Scientist, Accessibility Cupertino, United States of America We are seeking an Applied Machine Learning Research Scientist to join our Accessibility efforts on the Human-Centered Machine Intelligence (HCMI) team within AIML at Apple. Research Scientists in HCMI tackle significant technical and human-centered research challenges, collaborate with partner teams across Apple to ship products, and shape the field of human-centered AIML via external publication and engagement. Join us to design, study, and build intelligent interactive technologies that enable people of all abilities to use Apple technology. The Human Centered Machine Intelligence (HCMI) group designs, studies, and builds interactive technologies that enable people to benefit from machine learning. We are a close-knit team of research scientists and engineers in a unique position to do research and work closely with product teams throughout Apple. Our work has resulted in numerous award-winning research publications and groundbreaking technologies impacting millions of people. The Accessibility team within HCMI specifically focuses on core ML technologies that address grand challenges in accessibility, including equitable speech access to people with disabilities, visual understanding for people who are blind or low vision, communication access for people who use sign language, and more. Developing new ML modeling approaches around vision, time-series, or multimodal ML. Advancing the state of the art on Accessibility-related problems. Designing and analyzing experiments to evaluate machine learning modeling approaches. Working with partner teams to integrate machine learning approaches into human-centered applications. Evaluating ML-powered applications using human-centered methods. Creating human-centered machine learning contributions to ### Machine Learning Intern, London - SS&C Technologies - Location: London - 1 Ropemaker Street (unspecified) - Salary: Not disclosed - Posted: 2026-05-18 - 401(k) match: listed (not source-backed) - Apply: https://ssctech.wd1.myworkdayjobs.com/SSCTechnologies/job/London---1-Ropemaker-Street/Machine-Learning-Intern--London_R42634 - Excerpt: Machine Learning Intern, London London - 1 Ropemaker Street posted: Posted 25 Days Ago ### Machine Learning Engineer - 5 - Adobe Inc. - Location: Bangalore (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/Bangalore/Machine-Learning-Engineer---5_R168703-1 - Excerpt: Machine Learning Engineer - 5 Bangalore posted: Posted 30+ Days Ago ### Forward Deployed Engineer (Customer) - DevRev - Location: Austin, Texas, United States (unspecified) - Salary: Not disclosed - Posted: 2026-03-11 - Apply: https://job-boards.greenhouse.io/devrev/jobs/5823633004 - Excerpt: Forward Deployed Engineer (Customer) 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 role As a Forward Deployed Engineer (Customer) , you will serve as the lead technical strategist embedded with our customers. You'll own the end-to-end design of AI-driven business transformation projects from understanding domain-specific needs to architecting scalable agent-based solutions using DevRev's platform. This role requires a unique blend of enterprise architecture, AI solutioning, customer empathy, and cross-functional collaboration. You'll act as the connective tissue between pre-sales, customer success, engineering, and product teams bringing our AI capabilities to life for real-world impact. What You'll Do - Own Customer Context : Deeply understand customer business domains, systems, and OKRs/KPIs to guide solution design. - Architect AI Transformation : Design and document AI-driven workflows, agents, skills, and system integrations that align with customer goals and industry best practices. - Be a Trusted Advisor : ### AI Transformation Consultant - Fiserv - Location: Omaha, Nebraska (unspecified) - Salary: Not disclosed - Posted: 2026-06-01 - Parental leave: 12 weeks (not source-backed) - Non-birth-parent leave: 2 weeks (not source-backed) - Apply: https://fiserv.wd5.myworkdayjobs.com/EXT/job/Omaha-Nebraska/Software-Development-Engineering---Advisor-II_R-10374510 - Excerpt: AI Transformation Consultant Omaha, Nebraska posted: Posted 11 Days Ago ### Senior AI/ML Engineer: Python & Scientific Computing - Swayable - Location: San Francisco (unspecified) - Salary: $175K-$250K - Posted: 2026-06-09 - Apply: https://job-boards.greenhouse.io/swayable/jobs/5146737007 - Excerpt: Senior AI/ML Engineer: Python & Scientific Computing San Francisco About Swayable Swayable is a fast-growing AI and automated data science platform that measures public opinion and the impact of messages and advertising content on it. We are a 40-person team backed by top technology and social impact investors, including Y Combinator. Founded in 2018 by physics PhDs, it is led by the former Executive Director for Digital Strategy at the New York Times. Clients include major consumer-facing brands (American Express, Airbnb, Paramount Pictures), technology companies (Anthropic, Meta, Amazon), academic researchers (MIT, Yale, Stanford) and mission-aligned civic advocacy campaigns (e.g. on climate, human rights and elections). Joining Swayable means being on a team whose work changes the course of history. The technology we develop is at the leading edge of transforming some of the world's most important campaign organizations and enterprises: combatting disinformation, protecting democracy, and supporting the sustainable growth of consumer-facing brands. Check our our values & culture deck to learn more: https://tinyurl.com/4zjchwzs Technology stack Swayable uses Python (Numpy, Scipy, scikit-learn, Pandas, Celery, Flask), JavaScript (Vue.js, Node.js), MongoDB, and GraphQL. About the role Swayable is seeking a Senior Engineer blending Python software development expertise with scientific computing, machine learning, and AI experience to advance the state of the art analytics engine that powers our core product. In this role, you will be part of the team that productizes all AI, machine learning, and data analysis at Swayable. You will be responsible for building, maintaining, and continuously improving our tools, techniques, ### Video Machine Learning Engineer, Audio & Media Technologies - Apple - Location: San Diego, United States of America (unspecified) - Salary: $140K-$258K - Posted: 2026-03-27 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200652392/video-machine-learning-engineer-audio-media-technologies?team=SFTWR - Excerpt: Video Machine Learning Engineer, Audio & Media Technologies San Diego, United States of America Imagine what you could do here! At Apple, new insights have a way of becoming extraordinary products, services, and customer experiences very quickly. We are seeking a passionate and innovative machine learning engineer to join a team that is shaping the future of video intelligence. Our team develops cutting-edge machine learning technologies and systems that power intelligent, interactive video experiences across Apple's products - including Photos, Camera, Spotlight, FaceTime, AirPlay, and TV+. This is your opportunity to push the boundaries of what's possible in video understanding, processing, and delivery, and to see your work come to life in products used by hundreds of millions of people worldwide. As a Video Machine Learning Algorithm Engineer on our team, you will be at the forefront of designing, developing, and deploying machine learning solutions that redefine how video is experienced across Apple's ecosystem. You will collaborate with a world-class group of researchers and engineers to tackle challenging problems in video processing and understanding - from crafting novel neural network architectures to optimizing models for on-device performance. Your work will span the full lifecycle of innovation: researching state-of-the-art techniques, prototyping new ideas, training and evaluating models, and shipping production-quality solutions that delight users. If you thrive at the intersection of deep learning research and real-world product impact, this role will give you the platform to do the best work of your career. Design and develop novel machine learning algorithms and ### Machine Learning Video Processing Engineer - 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/200622819/machine-learning-video-processing-engineer?team=HRDWR - Excerpt: Machine Learning Video Processing Engineer Cupertino, United States of America Imagine the impact of your work - technologies you help create will be experienced by over a billion people every day. At Apple, you'll have the opportunity to contribute to products that consistently set industry standards and, at times, redefine the world. Our team is responsible for developing the core image and video technologies used in nearly all Apple products and services. We are seeking a motivated and adaptable Machine Learning Video Processing Engineer who thrives in technically challenging environments and is eager to push the boundaries of innovation. We are seeking a Machine Learning Engineer to help develop Apple's next-generation video processing algorithms. In this role, you will collaborate closely with a dynamic team of Apple engineers to design and implement machine learning-based image and video processing technologies that power both current and future Apple products. Responsibilities include, but not limited to: - Develop, implement, and optimize machine learning based video processing algorithms - Contribute to data collection, curation, analysis and processing for algorithm training and evaluation - Research and evaluate state-of-the-art learning-based methods for low-level vision tasks Minimum Qualifications: BS and a minimum of 3 years relevant industry experience Hands on experience on image/video processing, machine learning and computer vision Programming skills in Python, Java, or C/C++ Preferred Qualifications: PhD degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields Project experience on low level computer vision algorithms such as spatial/temporal filtering, image enhancement, or video analysis ### Senior Software Engineer (FastAPI & Async Python) - Photoroom - Location: Paris | Remote | Remote (remote) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/photoroom/62fccba8-2ec8-4411-9b38-10db8055f69c - Excerpt: Senior Software Engineer (FastAPI & Async Python) Paris | Remote | Remote ABOUT US Founded in 2019 and part of Y Combinator's 2020 cohort, Photoroom https://www.photoroom.com is the leading visual solution for e-commerce. We've raised Series B funding and reached 300+ million users worldwide, processing over 5 billion images annually and serving both small businesses and major enterprises like Amazon, DoorDash, and Decathlon through our mobile app, web platform, and API. We're a remote-friendly team of 100+ passionate builders giving e-commerce businesses superpowers to create visuals that help them grow, making the hardest parts of selling online disappear. We focus on craft, innovation, and collaboration, creating exceptional impact for e-commerce businesses worldwide. We are looking for a Senior FastAPI engineer to help us add new AI features in Photoroom. You will use asyncio heavily to build and enhance AI features, improve private API speed, and integrate multiple services to deliver high-quality images and videos to our users Compensation: 100k to 110k* + Stock-Options/BSPCE (Local currency) Location: Remote with with monthly Paris office visits (fully reimbursed). We can hire people already based in selected countries only: France, Germany, Ireland, Italy, Portugal, Spain, UK, Poland. ABOUT THE ROLE - You'll collaborate with the AI Tools squad implement and improve AI features in the Photoroom app (Logo maker, AI Images, AI Videos, and other features available on the homepage of the app). - You'll design and architect new features, chaining a mix of internal and external services to generate breathtaking images and videos ### Machine Learning Intern, Humanoid Robotics - 2026 - NVIDIA Corporation - Location: China, Shanghai (unspecified) - Salary: Not disclosed - Posted: 2026-06-04 - 401(k) match: listed (not source-backed) - Apply: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/China-Shanghai/Machine-Learning-Intern--Humanoid-Robotics---2026_JR2018845 - Excerpt: Machine Learning Intern, Humanoid Robotics - 2026 China, Shanghai posted: Posted 8 Days Ago ### Viral Transmission 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/4645505101 - Excerpt: Viral Transmission Specialist - Freelance AI Trainer Project United States of America Are you a master of viral transmission 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, advance infectious disease control, and support global public health efforts. 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 viral transmission dynamics, epidemiology, host-pathogen interactions, environmental factors, vector biology, infection control, and outbreak investigation. You'll challenge advanced language models on topics like modes of viral spread, reproductive numbers (R₀), superspreading events, viral shedding, aerosol and contact transmission, prevention strategies, and modeling transmission patterns-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on real-world viral transmission scenarios and theoretical questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A PhD in virology, epidemiology, microbiology, public health, or a closely related life‑science field is ideal; peer‑reviewed publications, applied research on viral transmission, or experience in outbreak response and infection prevention signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your viral transmission expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the model that will teach the world. We offer a pay range of $8-to- $65 per ### Applied Machine Learning Research Engineer - Multimodal for Human Understanding - Apple - Location: Sunnyvale, United States of America (unspecified) - Salary: $147K-$272K - Posted: 2025-11-19 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200632657/applied-machine-learning-research-engineer-multimodal-for-human-understanding?team=MLAI - Excerpt: Applied Machine Learning Research Engineer - Multimodal for Human Understanding 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 Applied Machine Learning Research Engineer to join our team in the Video Computer Vision group and help us push the boundaries of human understanding. The Video Computer Vision org has pioneered human-centric real-time 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. In this role, you will drive ground breaking development at the intersection of AI, generative modeling, and computer vision. You will work across the full lifecycle-from foundational investigation to practical applications-designing, implementing, and evaluating novel algorithms and models. Your primary focus will be human understanding, including human motion, activities, and representation learning. A major aspect of the role involves designing, implementing, evaluating and productizing ML systems capable of human and activity understanding. This position offers a unique opportunity to innovate, build, and ship: you will take your conceptual ideas to products that reach millions of users worldwide. You will collaborate with a ### Machine Learning Engineer - Remitly Global INC - Location: Burnaby, British Columbia, Canada (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Apply: https://remitly.wd5.myworkdayjobs.com/Remitly_Careers/job/Burnaby-British-Columbia-Canada/Machine-Learning-Engineer_R_106032 - Excerpt: Machine Learning Engineer Burnaby, British Columbia, Canada Burnaby, British Columbia, Canada ### Machine Learning Engineer - Trimble Inc. - Location: Germany - Munich (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - 401(k) match: listed (not source-backed) - Apply: https://trimble.wd1.myworkdayjobs.com/TrimbleCareers/job/Germany---Munich/Machine-Learning-Engineer_R55834 - Excerpt: Machine Learning Engineer Germany - Munich posted: Posted 30+ Days Ago ### Software Engineer - Applied AI - DevRev - Location: Philippines Remote (remote) - Salary: Not disclosed - Posted: 2025-12-08 - Apply: https://job-boards.greenhouse.io/devrev/jobs/5722574004 - Excerpt: Software Engineer - Applied AI Philippines 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. About the Role: 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 ### Senior Software Engineer (Backend) - Adaptive - Location: New York City, New York, USA (unspecified) - Salary: Not disclosed - Posted: 2025-11-18 - 401(k) match: listed (not source-backed) - Apply: https://jobs.ashbyhq.com/adaptive/e8a34d3e-38f6-4f21-ac4e-d2c0ddb24220 - Excerpt: Senior Software Engineer (Backend) New York City, New York, USA What we do Adaptive is a rapidly growing vertical AI company of 50, building an AI-native ERP for real estate and construction. We have scaled to over 700 customers and have raised $26m from Emergence, a16z, and other top funds, as well as a collection of angels from companies like Brex, Ramp, Airbase, Square, and Shopify. Why join us? Power the local built environment We serve the small businesses that are building communities across our country. Your favorite local café, the new house on the corner, or the ADUs helping to solve the housing crisis were all built by our customers--those who have lived in their cities for their entire lives and have a true passion for their craft. These are creative, dynamic, skilled individuals who bring neighborhoods to life by conceiving of and constructing environments where people connect and build memories. Join a world-class team at the forefront of vertical AI We have built a culture rooted in collaboration, execution, and experience! We have deep backgrounds in finance, technology, and construction, and a fast-growing customer base. We have the momentum, team, and vision to win in this massive market. We'd love for you to join us. About the role We are excited to share this opportunity to join our growing team at Adaptive! Your technical expertise will be instrumental in guiding the direction of our engineering efforts and ensuring the delivery of high-quality software. Reporting to the VP of ### Video Machine Learning Engineer, Audio & Media Technologies - Apple - Location: San Diego, United States of America (unspecified) - Salary: $140K-$258K - Posted: 2026-04-20 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200653646/video-machine-learning-engineer-audio-media-technologies?team=SFTWR - Excerpt: Video Machine Learning Engineer, Audio & Media Technologies San Diego, United States of America Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. We are looking for a talent who will join us to craft the future of video coding and processing. Our team develops cutting edge machine learning technologies and systems that enable intelligent and interactive video experience in Apple's products, such as FaceTime, Camera, AirPlay, CarPlay, Screen Share, Immersive Reality, etc. You will work closely with a group of highly motivated specialists to develop exciting machine learning technologies that will make a huge impact to customers. As a video machine learning engineer in our team, you will be responsible for developing ML/DL solutions to enhance or bring new user experiences. You will be deeply involved in developing new or improving existing algorithms; designing neural network architectures; training, optimizing, integrating networks; and coordinating with various teams to ### Solutions Engineer - Delhi - DevRev - Location: India Remote (remote) - Salary: Not disclosed - Posted: 2026-03-23 - Apply: https://job-boards.greenhouse.io/devrev/jobs/5831999004 - Excerpt: Solutions Engineer - Delhi India 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. Role Overview At DevRev, Solutions Engineers are customer-obsessed technical professionals who bridge the gap between cutting-edge product innovation and real customer needs. As a trusted advisor, you'll support both direct sales cycles enabling customers as well as partners to fully understand, evaluate, and adopt DevRev solutions. You'll blend technical acumen with storytelling, preparing and conducting tailored demos, guiding evaluations, and shaping proposals. In close collaboration with Sales, Product, and Engineering you'll ensure customers and partners experience DevRev not just as a product, but as a strategic platform powering their success. Key Responsibilities - Provide expert technical guidance throughout the sales cycle, addressing customer questions with clarity and confidence. - Partner with account teams to understand use cases, uncover pain points, and design tailored solutions. - Deliver engaging product demos, PoCs, and proofs of value that ### Senior Embedded Machine Learning Engineer (C++) - Scandit - Location: Tampere (unspecified) - Salary: Not disclosed - Posted: 2026-05-21 - Apply: https://www.scandit.com/careers/job-description/?gh_jid=7951108 - Excerpt: Senior Embedded Machine Learning Engineer (C++) Tampere Machine Learning Engineer (C++, Computer Vision) Scandit gives people superpowers. Whether enabling delivery drivers to make quicker deliveries, matching a patient with their medication, or allowing retailers to make store operations more efficient, our technology automates workflows and provides actionable insights to help businesses in a variety of industries. Join us, as we continue to expand, grow and innovate, and help take Scandit to the next level. About the role We are looking for a new colleague to join the Label Capture team and work on creating digital twins of complex labels and identification documents. You will be responsible for evolving our current product by adding new features and optimizing the existing offering. You will work on computer vision and deep learning algorithms to improve information extraction from printed documents beyond state of the art. If these challenges sound interesting to you, we'd love to hear from you! What you will do - Driving and solving semantic document parsing for our customer use cases - Be involved hands on in all phases of end to end quality improvements (defining and tracking metrics, prototyping, testing, integration of existing models, creation of new models, data collection, analysis, debugging) - Stay up to date with the latest research in document classification, text recognition and information extraction - Set direction and identify opportunities to push boundaries of recognition - Mentoring team members on code quality and engineering practices Who you are You are a senior engineer who ### Video Codec Machine Learning Engineer, Audio & Media Technologies - Apple - Location: San Diego, United States of America (unspecified) - Salary: $140K-$258K - Posted: 2026-04-28 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200660335/video-codec-machine-learning-engineer-audio-media-technologies?team=SFTWR - Excerpt: Video Codec Machine Learning Engineer, Audio & Media Technologies San Diego, United States of America Imagine the possibilities that await you here! At Apple, bold ideas rapidly transform into groundbreaking products, services, and customer experiences that shape the world. Are you someone who brings passion, dedication, and a drive to push boundaries? If so, we want to hear from you. We are seeking exceptional talent to join us in defining the future of video. Our team is at the forefront of crafting the next generation video codec that will redefine the industry landscape and set new standards for how the world experiences video. This is your opportunity to make a lasting impact on both Apple's ecosystem and the broader industry as a whole. Driven by this mission, our team develops cutting-edge video coding, processing, machine learning, and systems engineering technologies that power intelligent and immersive video experiences across Apple's iconic products and platforms, including Photos, Camera, Spotlight, FaceTime, AirPlay, Sidecar, and Apple TV. You will collaborate with a team of highly driven and talented specialists, working together to turn visionary codec innovations into transformative technologies that reach and inspire millions of people every day. This position is ideal for a highly self-motivated and visionary individual with a deep passion for pushing the boundaries of video coding, machine learning, and AI-driven video technologies. Shaping the Future of Industry Standards: Spearheading efforts to contribute groundbreaking algorithms and ML-driven innovations to the next generation of video coding standards, positioning Apple at the forefront ### Software Engineer - AML, AI & Data Platforms (AiDP) - Apple - Location: Sunnyvale, United States of America (unspecified) - Salary: $181K-$318K - Posted: 2026-05-11 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200662616/software-engineer-aml-ai-data-platforms-aidp?team=CORSV - Excerpt: Software Engineer - AML, AI & Data Platforms (AiDP) Sunnyvale, United States of America AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning - including generative AI - along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple. We are looking for a passionate and experienced Software Engineer to help build next- generation of Applied Machine Learning Platform. Applied Machine Learning Platform team provides backend services and infrastructure for various Machine Learning and Data Science teams to train, build, deploy and inference models at scale to prevent Fraud on multiple Apple Platforms like Apple Pay, Apple Media Products, App Store, Online Store, Retail, AppleCare and Manufacturing. In addition to preventing Fraud, this platform is responsible for driving Operations and Logistics for Online Store, AppleCare and Retail. Our team within the greater AiDP Platform team is the Core Services which is a backbone of the platform, responsible for handling thousands of transactions per second in a distributed manner. As a Software Engineer who has deep systems thinking to design, build, and enhance scalable and highly concurrent ML and AI serving platform. Knowledge of Python and Java, Machine Learning concepts, tools and packages is a must. If you're excited about building production-grade platform and solving hard distributed systems problems, this is your opportunity to make a lasting impact at scale. You will design and ### AI Engineer - Fiserv - Location: 3 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-05-19 - Parental leave: 12 weeks (not source-backed) - Non-birth-parent leave: 2 weeks (not source-backed) - Apply: https://fiserv.wd5.myworkdayjobs.com/EXT/job/Columbus-Ohio/Data-Scientist---Cybersecurity-AI---Advanced-Analytics_R-10388404-1 - Excerpt: AI Engineer 3 Locations posted: Posted 24 Days Ago ### Machine Learning Engineer - Perception - AEVA Technologies - Location: Mountain View, CA (unspecified) - Salary: Not disclosed - Posted: 2026-06-04 - Apply: https://jobs.lever.co/aeva/04968254-258c-4006-afb4-6f335a6043dd - Excerpt: Machine Learning Engineer - Perception Mountain View, CA ### Python with AI Engineering - Vice President - Citigroup Inc. - Location: PUNE, Mahārāshtra, India (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - 401(k) match: listed (not source-backed) - Apply: https://citi.eightfold.ai/careers/job/859034498347 - Excerpt: Python with AI Engineering - Vice President PUNE, Mahārāshtra, India ### Machine Learning Engineer - Adobe Inc. - Location: 2 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-06-08 - 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_R167868 - Excerpt: Machine Learning Engineer 2 Locations posted: Posted 4 Days Ago ### Machine Learning Engineer, Video Engineering - Apple - Location: Sunnyvale, United States of America (unspecified) - Salary: $181K-$318K - Posted: 2026-05-28 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200665577/machine-learning-engineer-video-engineering?team=MLAI - Excerpt: Machine Learning Engineer, Video Engineering Sunnyvale, United States of America Help define the next generation of photo and video experiences at Apple. The Video Engineering group develops key image and video technologies that contribute to experiences across many Apple products and services. As a Machine Learning Engineer, you'll be developing breakthrough ML models that power spatial media features, including 3D photos, immersive video, and scene reconstruction, reaching hundreds of millions of users. As a member of a fast-paced team, you will have the unique and exciting opportunity to shape upcoming products at the frontier of generative AI, computer vision, and 3D understanding, with a strong emphasis on taking ideas from research to production. This role requires an independent, self-motivated, and creative engineer with deep expertise in machine learning, coupled with a strong understanding of 3D computer vision and computer graphics. Your primary focus will be applying cutting-edge machine learning techniques to complex 3D visual challenges to create customer impact across current and future Apple products. Work both independently and collaboratively with team members to research and develop state-of-the-art ML models for 3D content creation, spatial video processing, and scene understanding, presenting and demonstrating your work to cross-functional teams and leadership alike. Design and train large-scale generative models on Apple's ML infrastructure, run rigorous experiments to improve quality, and optimize models for on-device deployment. Examples of past team work include Spatial Scenes, immersive 3D experiences generated from photos and videos using ML-powered depth and view synthesis. Minimum Qualifications: Bachelor's degree in ### ParaView Specialist - AI Trainer - Handshake - Location: Remote (USA), Remote, United States (remote) - Salary: Not disclosed - Posted: 2026-03-09 - Apply: https://jobs.ashbyhq.com/handshake/aced900f-04da-47f5-a750-98a4f24241c3 - Excerpt: ParaView Specialist - 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 3+ years of hands-on experience with ParaView , whether through professional work or freelance projects - A working knowledge of CFD post-processing, scientific visualization ### Respiratory Equipment Educator - Adapthealth Corp - Location: Reno, NV (unspecified) - Salary: Not disclosed - Posted: 2026-06-04 - 401(k) match: listed (not source-backed) - Apply: https://recruiting.paylocity.com/Recruiting/Jobs/Details/4227024 - Excerpt: Respiratory Equipment Educator Reno, NV Respiratory Equipment Educator ### Vision Plus Developer - Fiserv - Location: 2 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - Parental leave: 12 weeks (not source-backed) - Non-birth-parent leave: 2 weeks (not source-backed) - Apply: https://fiserv.wd5.myworkdayjobs.com/EXT/job/Chennai-India/Vision-Plus-Developer_R-10386040 - Excerpt: Vision Plus Developer 2 Locations posted: Posted 2 Days Ago ### Machine Learning Video Processing Engineer - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $127K-$191K - Posted: 2024-12-23 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200584872/machine-learning-video-processing-engineer?team=HRDWR - Excerpt: Machine Learning Video Processing Engineer Cupertino, United States of America Imagine the impact you can make. A billion users will use the technologies you helped craft almost daily. At Apple you will have the opportunity to work on products that are always leaders in the industry and occasionally change the world! This group at Apple is responsible for creating the image/video core technologies used in almost all Apple products and services. We are looking for a highly self-motivated and enthusiastic engineer who is able to excel in a technically challenging environment to fill in the position of machine learning video processing engineer. In this role you will work with Apple engineers in a dynamic team developing machine learning based image/video processing technologies for current and future Apple products. This position requires a highly self-directed engineer with strong creative and analytic skills and passion for video processing and compression technologies. Your responsibilities include but not limited to: - Develop, implement, and optimize machine learning based video processing algorithms that work well in the resource-constrained environments. - Work on data collection and pre-processing for training/testing/validation. - Investigate the latest learning-based low-level vision technologies and tasks. Minimum Qualifications: Masters degree in Computer Science, Electrical Engineering, or related major. Familiar with Signal Processing, Machine Learning, CPU architecture, and Operating System. Python, Java, or C/C++ programming skills. Preferred Qualifications: Experience with performance (power and speed) optimization: GPGPU SIMD programming. Knowledge of deploying neural network to hardware. Experience with multithread NEON / SIMD. Experience with GPU ### Machine Learning Engineer - Interdigital Inc - Location: UK_London2 (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - 401(k) match: listed (not source-backed) - Apply: https://interdigital.wd5.myworkdayjobs.com/InterDigital_Career/job/UK_London2/Machine-Learning-Engineer_REQ25-1060 - Excerpt: Machine Learning Engineer UK_London2 posted: Posted 30+ Days Ago ### Senior AI/ML & Data Engineer - Accenture Federal Services - Location: Chantilly, VA (unspecified) - Salary: $100K-$203K - Posted: 2026-06-02 - Apply: https://boards.greenhouse.io/accenturefederalservices/jobs/4686155006?gh_jid=4686155006 - Excerpt: Senior AI/ML & Data Engineer Chantilly, VA At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! Job Description : We are looking for an experienced Senior AI/ML and Data Engineer to develop, implement, and maintain sophisticated machine learning, LLM, and enterprise AI solutions for our federal client. The ideal candidate combines strong hands on engineering talent with architectural leadership-capable of shaping mission aligned AI strategy, designing scalable pipelines, and delivering production-grade ML and Generative AI capabilities in secure environments. This role will partner with cross functional teams - including data engineering, cloud engineering, cybersecurity, and mission SMEs - to architect end-to-end AI systems that are reliable, compliant, and impactful. The work you'll do : - AI/ML Engineering : - Design, develop, and deploy machine learning models, LLM applications, retrieval augmented generation (RAG) pipelines, and agentic AI systems. - Build data preprocessing, ### Research Scientist Intern, Machine Perception for Input and Interaction (PhD) - Meta - Location: Redmond, WA; Seattle, WA (unspecified) - Salary: $8K-$12K/mo - Posted: 2026-06-04 - 401(k) match: listed (not source-backed) - Apply: https://www.metacareers.com/jobs/779670167783218/ - Excerpt: Research Scientist Intern, Machine Perception for Input and Interaction (PhD) Redmond, WA; Seattle, WA Reality Labs (RL) teams are looking for exceptional interns to help us create next generation interaction technologies for virtual and augmented reality. Join a full-stack team working on computer vision, machine learning, geometric and appearance modeling, physically-based modeling, sensor design and fusion, and human computer interaction. We are accepting applications from those interested in (but not limited to) the following areas: *Tracking of hands, bodies and objects and their interactions through machine learning, computer vision and sensor fusion *Egocentric human action recognition and emotion recognition *Hand motion sequence modeling for hand-object interaction using deep generative models or physical simulation *Representation modeling (e.g., implicit, appearance, geometry) of hands, bodies and objects for fast simulation and tracking *Efficient deep learning (e.g., neural architecture search, sparsity, quantized networks) *Interaction design for hands, bodies and objects in virtual reality and augmented reality *Sensor fusion (e.g. of pressure, RF, EXG, IMU) with optical tracking *Efficient and generalizable detectors for predicting keypoints, segmentations, normals, and depth *Accurate and efficient 3D representations of deformable shapes such as clothing and hair Responsibilities: - Design and execution of algorithms in the domain of computer vision, machine learning, computer graphics, sensor fusion, or HCI software and hardware prototyping - Design of user studies and experiments - Collaboration with other researchers across various disciplines - Communication of research agenda, progress, and results Minimum qualifications: - Currently has, or is in the process of obtaining, a PhD degree ### 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: ### Computer Vision Research Internship: Image to Sequence Modeling (e.g. Transformers) - Scandit - Location: Zurich (unspecified) - Salary: Not disclosed - Posted: 2025-12-01 - Apply: https://www.scandit.com/careers/job-description/?gh_jid=7434825 - Excerpt: Computer Vision Research Internship: Image to Sequence Modeling (e.g. Transformers) Zurich Duration: Minimum 6 months; ideally 9-12 months, depending on the candidate's experience Scandit gives people superpowers. Whether enabling delivery drivers to make quicker deliveries, matching a patient with their medication, or allowing retailers to make store operations more efficient, our technology automates workflows and provides actionable insights to help businesses in a variety of industries. Join us, as we continue to expand, grow and innovate, and help take Scandit to the next level. About the Internship We are offering a research-focused internship aimed at advancing machine learning methods for complex visual understanding tasks. The project centers on deep learning architectures for image-to-sequence modelling, such as Transformers, attention mechanisms, and modern sequence and representation-learning frameworks, to address challenging and highly structured computer vision problems. This project contributes to long-term research efforts aimed at achieving even higher performance, robustness, and generalization in large-scale visual applications. What you will do You will work closely with experienced ML researchers and engineers on cutting-edge research at the intersection of computer vision and sequence modeling. Your work will include: - Designing and experimenting with new ML architectures for structured visual data. - Evaluating alternative modeling paradigms (e.g., encoder-decoder, hybrid Transformer models, sequence-based representations). - Investigating techniques for improving robustness, generalization, and multi-view reasoning. - Running systematic experiments, ablations, and error analyses to validate research hypotheses. This project provides opportunities for novel model design, extensive experimentation, and scholarly research. You will contribute to long-term innovation in ### Jr Data Engineer - Accenture Federal Services - Location: Chantilly, VA (unspecified) - Salary: $76K-$131K - Posted: 2025-12-03 - Apply: https://boards.greenhouse.io/accenturefederalservices/jobs/4623058006?gh_jid=4623058006 - Excerpt: Jr Data Engineer Chantilly, VA At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! You Are: A team player with an entrepreneurial mind. You have a strong record of leadership in an academic, professional, and/or extracurricular settings. You step up and volunteer to take on challenges to solve technical and strategic problems. Unafraid to experiment and drawn to problem solving. You are willing to share your ideas and work collaboratively in a team environment. You look closely at the way things work and often see a better approach to how it could be done You have excellent analytical and quantitative problem-solving skills and thrive in the unknown and naturally a problem-solver. You can see all around that the world is changing. You are ready to stretch boundaries -- and yourself. The Work: - Learn first-hand how we help the federal government ### Machine Learning Engineer - Strava - Location: Strava SF, San Francisco, California, United States (unspecified) - Salary: Not disclosed - Posted: 2026-04-03 - 401(k) match: listed (not source-backed) - Apply: https://jobs.ashbyhq.com/strava/1a26eb08-d980-455a-9ce3-369795105ae0 - Excerpt: Machine Learning Engineer Strava SF, San Francisco, California, United States About Strava Strava is the app for active people. With over 180 million athletes in more than 185 countries, it's more than tracking workouts-it's where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava's got you covered. Find your crew, crush your goals, and make every effort count. Start your journey with Strava today. Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward. We are looking for a Machine Learning Engineer to join the growing AI and Machine Learning team at Strava. This team is responsible for sophisticated machine learning models and systems which provide value to Strava athletes including personalization, recommendations, search, and trust and safety. The team also maintains the ML platform and infrastructure that enables our team to iterate on models quickly and deploy them reliably at scale. This is an important role in the ML team and across Product teams designing, roadmapping, and implementing innovative machine learning algorithms. We value full stack ML engineers who are able to work on all parts of an ML pipeline from model building, evaluation, optimizing performance, and ensuring the scalability and reliability of these production models. We also seek those who can improve the systems and tools behind the ML pipeline to further empower the team. We follow a flexible hybrid ### Member of Technical Staff (Machine Learning Engineer) - Reka AI - Location: Remote (remote) - Salary: Not disclosed - Posted: 2026-06-11 - Apply: https://jobs.ashbyhq.com/reka/87ec3e1d-3083-4dc8-9167-89167dc683e1 - Excerpt: Member of Technical Staff (Machine Learning Engineer) Remote What You'll Do - Translate cutting-edge research into production-ready machine learning systems - Design, build, and deploy end-to-end ML models and pipelines - Develop and optimize models for image and video processing - Own the full ML lifecycle: experimentation, training/fine-tuning, evaluation, and deployment - Rapidly prototype using open-source models and adapt them for product needs - Conduct experiments, analyze results, and iterate to improve performance - Collaborate with researchers and cross-functional teams (product, engineering, design) to deliver ML solutions at scale - Participate with advancements in machine learning and apply them to continuously improve products What We're Looking For Required Qualifications - MS/PhD in Computer Science, Electrical Engineering, or related field - Strong research experience with familiarity in top conferences (e.g., CVPR, ICCV, NeurIPS) - 5+ years of experience in Python and proficiency in Java, C++, or Scala - Strong understanding of diffusion models - Strong understanding of multi-threading and memory management - Solid knowledge of ML architectures: CNNs and Transformers - Experience with PyTorch or TensorFlow - Experience building end-to-end ML deployment and inference systems, especially for low-latency, real-time applications - Experience deploying ML models in cloud environments (AWS preferred) - Experience with experiment tracking systems and ML workflows Nice to Have - Experience in low level optimisation, cuda etc. - Experience productionizing and scaling ML models in real-world systems - Contributions to open-source projects - Experience with MLOps tools or distributed training systems - Familiarity with relational databases (Postgres/MySQL) - ### Manager, Data Science & Research - DoubleVerify - Location: Tel Aviv-Israel (unspecified) - Salary: Not disclosed - Posted: 2026-04-12 - Apply: https://job-boards.greenhouse.io/doubleverify/jobs/8479330002 - Excerpt: Manager, Data Science & Research Tel Aviv-Israel Who we are DV is the leader in digital performance solutions, helping our advertiser and agency partners verify the quality of their digital campaigns, Optimise to improve performance and Prove that they're achieving their business outcomes, through unbiased 3rd party data and analytics. DV's mission is to be the definitive source of transparency and data-driven insights into the quality and effectiveness of digital advertising for the world's largest brands, agencies, publishers, and digital ad platforms. Since 2008, DV has helped hundreds of Fortune 500 companies gain the most from their media spend by delivering best-in-class solutions across the digital advertising ecosystem, helping to build a better industry. Learn more at www.doubleverify.com . What you will do You will lead a team of experienced Data Scientists while remaining deeply involved in the technical work. This is a hands-on leadership role (~70% hands-on) combining direct modeling work with ownership of team direction and execution. You will work on core systems that operate at a massive scale, where: - Data is abundant, but labels are scarce and expensive - problems are long-tail and ambiguous - Systems must meet strict latency and cost constraints (pre-bid) Your responsibilities include: - Lead development of content classification systems across social platforms (Meta, TikTok, YouTube), web, and apps - Design and build models across computer vision, NLP, and multimodal pipelines - Own the full lifecycle: data selection -> labeling strategy -> training -> evaluation -> deployment - Develop strategies for efficient ### Machine Learning Intern - 2026 - NVIDIA Corporation - Location: Hong Kong, STP (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - 401(k) match: listed (not source-backed) - Apply: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/Hong-Kong-STP/Machine-Learning-Intern---2026_JR2016444 - Excerpt: Machine Learning Intern - 2026 Hong Kong, STP posted: Posted 30+ Days Ago ### Forward Deployed Architect - DevRev - Location: Austin, Texas, United States (unspecified) - Salary: Not disclosed - Posted: 2025-04-28 - Apply: https://job-boards.greenhouse.io/devrev/jobs/5528192004 - Excerpt: Forward Deployed Architect 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 ### Senior ML Software Engineer - Integration & Quality - Cerebras Systems - Location: Sunnyvale CA or Toronto Canada (unspecified) - Salary: Not disclosed - Posted: 2026-02-05 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7620384003 - Excerpt: Senior ML Software Engineer - Integration & Quality Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About the Role We are looking for a Software Engineer to join the ML Integration and Quality team at Cerebras. This team sits at the intersection of machine learning infrastructure, distributed systems, and hardware/software co-design. In this role, you will help integrate and validate the software stack that powers the Cerebras AI platform, ensuring large-scale ML workloads run reliably and efficiently across our systems. You will work closely with engineers across runtime, compiler, kernel, and hardware teams to debug ### Multimodal Generative Modeling Engineer - Apple - Location: Cupertino, United States of America (unspecified) - Salary: Not disclosed - Posted: 2026-05-14 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200663082/multimodal-generative-modeling-engineer?team=SFTWR - Excerpt: Multimodal Generative Modeling Engineer Cupertino, United States of America Imagine what you could do here! At Apple, new insights have a way of becoming extraordinary products, services, and customer experiences very quickly. Do you bring passion and dedication to your job? If so, we are looking for individuals like you. Join us in building new groundbreaking experiences in the era of generative AI. You will work on various projects aimed at pushing the boundaries of creativity and innovation within Apple's ecosystem. We are looking for machine learning engineers to work on generative AI models for image/video generation. We are looking for candidates that thrive in tightly collaborative team of self-motivated individuals. This position requires a highly motivated person who wants to help us advance in the development of generative models for image/video generation. As a multimodal generative modeling engineer in our team, you will be responsible for developing machine learning technologies, implementing and optimizing the solution, and shipping it in the products. In addition, you will have an opportunity to engage and collaborate with several teams across Apple to deliver the best products. Advance the development of generative AI models specifically focused on image and video generation. Implement machine learning solutions and optimize them for performance and efficiency. Successfully deploy and ship these generative ML solutions into Apple products. Engage and collaborate with multiple teams across Apple to deliver high-quality, integrated products. Minimum Qualifications: Master Degree in CS, ECE, or related fields Preferred Qualifications: PhD Degree in CS, ECE, or ### Machine Learning Engineer - Aptiv - Location: Shanghai, China (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - 401(k) match: listed (not source-backed) - Apply: https://aptiv.wd5.myworkdayjobs.com/APTIV_CAREERS/job/Shanghai-China/Machine-Learning-Engineer_J000670488 - Excerpt: Machine Learning Engineer Shanghai, China posted: Posted 30+ Days Ago ### AI Research Scientist, Video Generation and Post Training, FAIR - Meta - Location: Menlo Park, CA; Seattle, WA; New York, NY (unspecified) - Salary: $154K-$217K - Posted: 2026-06-04 - 401(k) match: listed (not source-backed) - Apply: https://www.metacareers.com/jobs/1647169276484472/ - Excerpt: AI Research Scientist, Video Generation and Post Training, FAIR Menlo Park, CA; Seattle, WA; New York, NY Meta is seeking a Research Scientist to join the Fundamental AI Research (FAIR) team within Meta Superintelligence Labs (MSL). Our mission is to advance the science of intelligence and develop technologies that push the boundaries of AI. We are looking for researchers with expertise in video generation and post-training of large-scale models to help build the perceptual and generative foundations for next-generation AI systems. This role offers the opportunity to collaborate with a highly interdisciplinary team of scientists, engineers, and cross-functional partners, leveraging cutting-edge technology, resources, and research facilities. Responsibilities: - Conduct fundamental and applied research in video generation, including generative models, video synthesis, and multimodal learning - Develop and optimize post-training paradigms for large-scale video and multimodal models, improving their performance, robustness, and generalization - Collaborate with teams across Meta to build perceptual foundations for real-time embodied agents and conversational AI - Contribute to the development and deployment of frontier models (e.g., Llama, LMMs) and push the boundaries of video and media generation Minimum qualifications: - Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience - PhD or equivalent experience in Computer Science, Electrical Engineering, or a related field - Demonstrated expertise in video generation, computer vision, or multimodal AI - Experience with large-scale model training, post-training optimization techniques, and data curation - Publication record in relevant fields Preferred qualifications: - Demonstrated research and software engineering experience ### Solution Architect ISV - Robotics - NVIDIA Corporation - Location: 3 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-06-01 - 401(k) match: listed (not source-backed) - Apply: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/China-Shenzhen/Solution-Architect-ISV---Robotics_JR2018789 - Excerpt: Solution Architect ISV - Robotics 3 Locations posted: Posted 11 Days Ago ### Machine Learning Engineer, Firefly Services - Adobe Inc. - Location: 2 Locations (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/Seattle/Machine-Learning-Engineer--Firefly-Services_R168300 - Excerpt: Machine Learning Engineer, Firefly Services 2 Locations posted: Posted 30+ Days Ago ### Machine Learning Engineer, AI Models - TensTorrent - Location: Cyprus (unspecified) - Salary: Not disclosed - Posted: 2025-09-26 - Apply: https://job-boards.greenhouse.io/tenstorrent/jobs/4832276007 - Excerpt: Machine Learning Engineer, AI Models Cyprus Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Join Tenstorrent's AI Models team and work at the layer most ML engineers never see: bringing advanced models to life on custom AI hardware. You'll own real workloads end‑to‑end including porting, tuning, and validating LLMs and vision models on our accelerator, and chasing down every last millisecond and percentage point of accuracy. This role is for people who love the craft of ML engineering and want their work to matter at silicon scale, not just behind another API. This role is hybrid , based in Cyprus. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are - Bring up, run, and debug modern ML models (e.g., transformers) using PyTorch or TensorFlow. - Analyze model behavior and performance, and identify bottlenecks across ### Senior Machine Learning Engineer - Nexxen International - Location: New York, NY | [Hybrid] | Remote (hybrid) - Salary: Not disclosed - Posted: 2026-06-04 - Apply: https://jobs.ashbyhq.com/nexxen/d3002843-c8a8-48bf-94bd-8e21400cf602 - Excerpt: Senior Machine Learning Engineer New York, NY | [Hybrid] | Remote ### Software Engineer, API Integrations - VideoAmp - Location: United States (hybrid) - Salary: $120K-$140K - Posted: 2026-05-22 - 401(k) match: listed (not source-backed) - Apply: http://videoamp.com/job?gh_jid=8556636002 - Excerpt: Software Engineer, API Integrations United States Software Engineer, API Integrations 📍 NY/LA/St. Pete/Boulder/Chicago | Remote or Hybrid | $120,000 - $140,000 + Equity + Benefits About VideoAmp VideoAmp is the tech-first measurement company transforming how advertising is valued, bought, and sold. Powered by currency-grade big data and a best-in-class technology stack, our platform gives advertisers, publishers, and agencies the ability to plan, optimize, and measure media investments across every screen - from linear TV and OTT to CTV and digital video. VideoAmp is accelerating investment in agentic AI and intelligent optimization technologies - helping clients drive measurable, real-world outcomes in an increasingly complex media landscape. With 880% year-over-year measurement growth, 98% coverage of the TV publisher ecosystem, and partnerships with 11 agency groups and 1,000+ advertisers, we're not just keeping pace with the industry - we're defining what comes next. We believe great work requires great people - people who say "I'll find a way" instead of "it can't be done." The Role We are seeking talented candidates to join our professional services engineering team to help with the implementation and scaling of our API first integrations with clients and partners. The ideal candidate will have a strong foundation in software engineering, cloud platforms, and relational databases. While leadership experience is not required, the ability to work effectively within a team and a strong desire to learn and grow are essential. What You'll Do - Collaborate with cross-functional teams, including Product, Engineering, and Client Success to ensure smooth implementation. - ### Machine Learning Engineer - PayPal Holdings, Inc. - Location: 2 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - 401(k) match: listed (not source-backed) - Apply: https://paypal.wd1.myworkdayjobs.com/Jobs/job/Chicago-Illinois-United-States-of-America/Machine-Learning-Engineer_R0134783-1 - Excerpt: Machine Learning Engineer 2 Locations posted: Posted 30+ Days Ago --- Source-backed benefit claims include source links; other benefit values are labeled separately.