Software Engineer II, Machine Learning PoshmarkSoftware Engineer II, Machine LearningRedwood City, CaliforniaPoshmark empowers sellers to grow meaningful businesses, keeps fashion in circulation longer, and gives shoppers access to unique and trusted finds, from everyday pieces to one-of-a-kind vintage and luxury. The Machine Learning Engineering team at Poshmark is looking for an experienced machine learning engineer to take care of Poshmark’s requirement to take machine learning models with varying requirements to production.
Senior Machine Learning Engineer Ambience Healthcare IncSenior Machine Learning EngineerSan Francisco, CA$225,000–$300,000 / yearAmbience was ranked #1 for Improving the Clinician Experience in the KLAS Research Emerging Solutions Top 20 Report, recognized by Fast Company as one of the Next Big Things in Tech, named one of the best AI companies in healthcare by Inc., and selected as a LinkedIn Top Startup in 2024 and 2025. What You'll Do: Build Trustworthy AI Evaluation Systems: Design and own evaluation pipelines for LLM and agentic systems, combining automated graders, regression testing, production feedback, and human evaluation to measure real product quality.
Machine Learning Engineer - ML Agents and Planning ZooxMachine Learning Engineer - ML Agents and PlanningFoster City, CAAs an ML Agents and Planning Machine Learning Engineer you will work on the bleeding edge of the industry, developing novel machine learning pipelines and models to predict the behavior of other agents in the world and planning the best course of action for the ego vehicle. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance.
Senior / Staff Machine Learning Engineer - ML Agents and Planning ZooxSenior / Staff Machine Learning Engineer - ML Agents and PlanningFoster City, CAAs an ML Agents and Planning Machine Learning Engineer you will work on the bleeding edge of the industry, developing novel machine learning pipelines and models to predict the behavior of other agents in the world and planning the best course of action for the ego vehicle. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance.
Staff Machine Learning/AI Engineer ProtingentStaff Machine Learning/AI EngineerHillsborough, CA$247,000–$297,000 / yearAbout Protingent: Protingent is an Award-Winning provider of top-tier Engineering and IT talent, trusted by companies at the forefront of innovation — from Software and Aerospace to AI, Clean Tech, Medical Devices, and Connected Technologies. Job Responsibilities: Prototype, develop and iterate on new product areas for our client giving our customers powerful AI tools for transforming data and identifying ways to reduce their emissions.
Machine Learning Researcher Capable LabsMachine Learning ResearcherSan Francisco, CaliforniaBonus: Experience or a strong project history in active learning, biological modeling in data-constrained regimes, or multimodal models spanning omics, imaging, and phenotypic data. Fine-tune and apply protein and structure models, including ESM, AlphaFold-family models, RFdiffusion, and ProteinMPNN, on in-house data to generate and optimize candidates across programs.
NewSenior Machine Learning Engineer - Perception ZooxSenior Machine Learning Engineer - PerceptionFoster City, CAIn particular, the role will be on advanced projects that are aimed at the next generation of driving software, including looking at joint detection and tracking models as well as ways to send rich embeddings to downstream models to relay semantic meaning and capture uncertainty. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
Machine Learning Engineer, Level 4 SnapchatMachine Learning Engineer, Level 4San Francisco, CA$173,000–$259,000 / yearThe Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services. 3+ years of post-Bachelor's machine learning experience; or Master's degree in a technical field + 2+ year of post-grad machine learning experience; or PhD in a relevant technical field.
Senior / Staff Machine Learning Engineer - Perception Attributes ZooxSenior / Staff Machine Learning Engineer - Perception AttributesFoster City, CA$242,000–$333,000 / yearBy creating reliable and accurate behavioral models, you enable Zoox's vehicles to make smart, safe decisions in complex urban environments, bringing us closer to our goal of revolutionizing urban mobility. Work with data labeling and ontology teams on data labeling and ontology definitions of the road users in different attributes and generate auto-labeling or data mining strategies for different attributes.
Staff Machine Learning Engineer - VLM/LLM Waymo LLCStaff Machine Learning Engineer - VLM/LLMMountain View, CA$238,000–$302,000 / yearSince its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World''s Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
Senior Machine Learning Engineer - Large Driving Model (Behavioral Alignment) RivianSenior Machine Learning Engineer - Large Driving Model (Behavioral Alignment)Palo Alto, California$179,000–$223,800 / yearFull timeRivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services.
Machine Learning Engineer PhysicsX LtdMachine Learning EngineerSan Francisco, CA$150,000–$190,000 / yearYou've shipped ML systems end-to-end and at scale: you design, build and test reliable, scalable ML data pipelines; you know how to explore and manipulate 3D point-cloud and mesh data to enable geometry-aware modelling; you select the right libraries, frameworks and tools. Experience applying Machine learning methods (including 3D graph/point cloud deep learning methods) to real-world engineering applications, with a focus on driving measurable impact in industry settings.
Senior / Staff Machine Learning Engineer - Scene Intelligence ZooxSenior / Staff Machine Learning Engineer - Scene IntelligenceFoster City, CA$199,000–$305,000 / yearCollaborating with world-class engineers and researchers across sensors, planning, and other teams, you'll have access to premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions. Lead the full post-training stack for VLMs and VLAs, including Continual Pre-training (CPT) on domain-specific driving data, Supervised Fine-Tuning (SFT) for instruction following.
Research Engineer, Machine Learning MistralResearch Engineer, Machine LearningPalo Alto, CaliforniaWorking hand-in-hand with Research Scientists, you’ll either join: - Platform RE Team: Enhance the shared training framework, data pipelines and cluster tooling used by every team; or. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms.
Machine Learning Scientist, Reinforcement Learning Profluent IncMachine Learning Scientist, Reinforcement LearningEmeryville, CA$200,000–$330,000 / yearBased in Emeryville, CA, we are backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures, and have raised over $150M to date. PhD (or equivalent industry experience) in Computer Science, Machine Learning, Natural Language Processing, Applied Math, Computational Biology, Statistics, or a related field.
Research Engineer, Machine Learning RL Velocity Anthropic PBCResearch Engineer, Machine Learning RL VelocitySan Francisco, CA$500,000–$850,000 / yearThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. As a Research Engineer on the team, you'll build and improve the core platform that underpins how we do RL at Anthropic, removing bottlenecks that slow down research and making it easier for the broader org to ship better models faster.
Principal Machine Learning Engineer ADOBE IncPrincipal Machine Learning EngineerSan Francisco, CA$261,800–$379,100 / yearFirefly Foundry is Adobe's enterprise managed-service offering for custom multimedia generative AI - deep-tuned image, video, and 3D models built on each customer's IP, paired with creative production workflows and a media-intelligence layer, and deployed across new and existing Adobe surfaces and products, including Firefly, Photoshop, Illustrator, Express, Stock, and Premiere. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
NewSenior Machine Learning Engineer, Agent Eval Platform Moveworks IncSenior Machine Learning Engineer, Agent Eval PlatformSanta Clara, CAIt's applied ML at a point where the methodology genuinely isn't settled: LLMs judging LLMs is an open research problem, and we're working it against agents that take real, irreversible actions in stateful, multi-tenant enterprise environments. Splitting the problem correctly: deterministic validators for checkable world state ("was the ticket created, with the right item, routed to the right approver?"), and an LLM judge for the parts that are genuinely fuzzy - was the clarifying question appropriate, was policy followed, was the path efficient.
NewStaff Machine Learning Engineer, Agent Eval Platform Moveworks IncStaff Machine Learning Engineer, Agent Eval PlatformMountain View, CAIt's applied ML at a point where the methodology genuinely isn't settled: LLMs judging LLMs is an open research problem, and we're working it against agents that take real, irreversible actions in stateful, multi-tenant enterprise environments. Splitting the problem correctly: deterministic validators for checkable world state ("was the ticket created, with the right item, routed to the right approver?"), and an LLM judge for the parts that are genuinely fuzzy - was the clarifying question appropriate, was policy followed, was the path efficient.
Machine Learning Engineer, Speech LLM Training - San Francisco PlaudMachine Learning Engineer, Speech LLM Training - San FranciscoSan Francisco, CaliforniaHave a proven track record of building and training large-scale audio or speech models from the ground up, whether that involves unified SpeechLLMs, advanced ASR, expressive TTS, or generative audio architectures. With a mission to amplify human intelligence, Plaud captures, structures, and compounds the intelligence generated in conversations — so humans can think better, decide faster, and execute with clarity.