Machine Tool Process Development Engineer - Hayward, CA Diedre Moire Corp.Machine Tool Process Development Engineer - Hayward, CAHayward, CA$100,000–$140,000 / yearFull timeCONSIDERED EXPERIENCE INCLUDES: Machining Applications Engineer Manufacturing Engineering Process Engineer CNC Programming Machine Tools Methods Development Tooling Configuration Machine Shop Mills Lathes Machining Centers #DiedreMoire #JobSearch #JobHunt #JobOpening #Hiring #Job #Jobs #Careers #Employment #jobposting #CNCJobs #EngineeringJobs #ApplicationsEngineer. Activities: • Visit customer sites (Manufacturing Facilities) and review current manufacturing equipment and systems and anticipated designs and manufacturing challenges related to engine blocks, crank shafts, cam shafts, gear boxes, and similar power train components.
Machine Learning Engineer/Senior Machine Learning Engineer - Devops, AI for Drug Discovery Genentech IncMachine Learning Engineer/Senior Machine Learning Engineer - Devops, AI for Drug DiscoverySouth San Francisco, CA$141,100–$262,100 / yearThe expected salary range for this position based on the primary location of California for the Machine Learning Engineer is $147,600, - $274,000 and New York is $141,100 - $262,100, and the Senior Machine Learning Engineer for California is $167,400 - $310,800 and New York is $160,100 - $297,300. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.
Machine Learning Engineer/Senior Machine Learning Engineer - Infra, AI for Drug Discovery Genentech IncMachine Learning Engineer/Senior Machine Learning Engineer - Infra, AI for Drug DiscoverySouth San Francisco, CA$141,100–$262,100 / yearThe expected salary range for this position based on the primary location of California for the Machine Learning Engineer is $147,600, - $274,000 and New York is $141,100 - $262,100, and the Senior Machine Learning Engineer for California is $167,400 - $310,800 and New York is $160,100 - $297,300. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.
Machine Learning Research Scientist/Senior Machine Learning Research Scientist, Structure and Simulation (AI for Drug Discovery) Genentech IncMachine Learning Research Scientist/Senior Machine Learning Research Scientist, Structure and Simulation (AI for Drug Discovery)South San Francisco, CA$141,100–$262,100 / yearThe new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide. We are looking for exceptional machine learning scientists who want to perform high quality research at the intersection of machine learning, structural biology, and physical sciences to directly accelerate drug discovery.
Machine Learning / Senior Machine Learning Scientist / Engineer Calico Life Sciences LLCMachine Learning / Senior Machine Learning Scientist / EngineerSouth San Francisco, CA$170,000–$233,000 / yearCalico's highly innovative technology labs, its commitment to curiosity-driven discovery science, and, with academic and industry partners, its vibrant drug-development pipeline, together create an inspiring and exciting place to catalyze and enable medical breakthroughs. The ideal candidate should be familiar with state-of-the-art machine learning techniques, including language/sequence modeling, representation learning, generative models, and self-supervised learning techniques.
Machine Learning Scientist / Senior Machine Learning Scientist, Virtual Cell Altos Labs IncMachine Learning Scientist / Senior Machine Learning Scientist, Virtual CellSan Francisco, CA$211,200–$257,500 / yearExperience writing production-quality code with modern machine learning frameworks such as PyTorch, TensorFlow, JAX, or similar; Experience with multi-GPU and distributed training at scale; Preferred Qualifications. This role is focused on improving our state-of-the-art "virtual cell" models, encompassing gene and protein modeling, imaging, and other modalities to aid in the discovery of novel interventions for aging and disease.
Machine Learning Scientist / Senior Machine Learning Scientist Calico Life Sciences LLCMachine Learning Scientist / Senior Machine Learning ScientistSouth San Francisco, CA$170,000–$233,000 / yearPartner with experimental scientists to connect model predictions to biological mechanisms - designing validation experiments, analyzing large-scale genomics data, and translating computational findings into actionable biological insights. Position Requirements: PhD in computational biology, bioinformatics, computer science, or a related field, and 0-5 years (for Scientist level) or 5+ years (for Senior Scientist level) of additional training in an industry or academic setting, with a strong publication record.
Machine Learning Engineer Staff & Principal Tubi IncMachine Learning Engineer Staff & PrincipalSan Francisco, CA$239,000–$342,000 / yearFor all full-time, regular employees, in lieu of FOX Paid Parental Leave, Tubi offers a generous Parental Leave Program, which allows parents twelve (12) weeks of paid bonding leave within the first year of birth, adoption, surrogacy, or foster placement of a child in addition to applicable government leave program(s) and FOX's short-term disability policy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions.
Staff Machine Learning Engineer - Mapping General Motors CoStaff Machine Learning Engineer - MappingSan Francisco, CA$185,100–$335,300 / yearJob DescriptionOur Mapping organization is building national-scale, next-generation mapping systems that move beyond static HD maps toward automated, ML-driven map reconstruction pipelines powered by onboard sensor data. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Staff Machine Learning Engineer, Vehicle Compliance Reasoning Waymo LLCStaff Machine Learning Engineer, Vehicle Compliance ReasoningSan Francisco, CA$251,000–$310,000 / 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. You will: Lead and develop ML solutions for the Waymo driver''s decision making and motion planning -- shaping the data, reward, or loss functions in modeling, data mining from large datasets, developing and refining labeling policies.
Senior Staff Machine Learning Engineer, Trust Airbnb IncSenior Staff Machine Learning Engineer, TrustSan Francisco, CARemote12+ years of industry experience in applied Machine Learning 2-3+ years working with LLMs and novel GenAI technologies Proficiency and proven experience on Agentic AI (frameworks, orchestration, architecture and productionization) A Bachelor's, Master's or PhD in CS/ML or related field Strong programming (Scala / Python / Java/ C++ or equivalent) and data engineering skills Deep understanding of Machine Learning best practices (eg. As a senior technical individual contributor, you will partner closely with our leaders across the broader technical organization helping design, execute and deliver in a complex and collaborative roadmap of Trust engineering efforts that will require collaboration across many parts of the organization and many parts of Airbnb.
Machine Learning Engineer: Imitation and Reinforcement Learning for Robotics Bedrock Robotics IncMachine Learning Engineer: Imitation and Reinforcement Learning for RoboticsSan Francisco, CABacked by $350M in funding, we're working quickly to close the gap between Americas surging demand for housing, data centers, manufacturing hubs, and the construction industrys growing labor shortage. In this role, youll be responsible for developing and scaling state-of-the-art learning architectures, while also building the data systems that make these models reliable, scalable, and reproducible in production.
Machine Learning Engineer II, Applied Research Science Pinterest IncMachine Learning Engineer II, Applied Research ScienceSan Francisco, CARemoteWhat you'll do: Contribute to cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems Collect, analyze, and synthesize findings from data and build intelligent data-driven model Write clean, efficient, and sustainable code Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across growth, discovery, ads and search Scope and independently solve moderately complex problems. Youll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: computer vision, graph neural network, natural language processing (NLP), inclusive AI, reinforcement learning, user modeling, and recommender systems.
Staff Machine Learning Engineer - AV Labs Uber Technologies IncStaff Machine Learning Engineer - AV LabsSan Francisco, CAYoull be able to collaborate with other engineers across networking, storage, compute, big data, and cloud engineering, as well as with partner engineering teams, which enables Ubers mission of helping people go anywhere and get anything and earn their way. Provide technical leadership, influence, and partner with fellow engineers to architect, design, and build scalable solutions for ML and Computer Vision technology that can stand the test of scale and availability while reducing operational overhead.
PhD Fall Machine Learning Intern ATG - Visual, Multimodal, and Recommender Systems Pinterest IncPhD Fall Machine Learning Intern ATG - Visual, Multimodal, and Recommender SystemsSan Francisco, CAYou'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also having opportunities to deploy features to hundreds of millions of users or conduct research applicable for paper submissions. Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product, to deliver innovative solutions.
Staff Machine Learning Engineer - Ads Uber Technologies IncStaff Machine Learning Engineer - AdsSan Francisco, CAThe Ads Machine Learning team at Uber is responsible for designing, building, and evolving the core ML systems that power ads selection, ranking, pricing, and delivery across the Uber ecosystem. Demonstrated ownership of designing, deploying, and evolving large-scale machine learning systems powering ads ranking, auction, or pricing in production environments.
Machine Learning Engineer, Offline Infrastructure (Entry-Level / New Grad PhD) Unity Software IncMachine Learning Engineer, Offline Infrastructure (Entry-Level / New Grad PhD)San Francisco, CAWhile specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program. If you have been a target of such a scam, you should report it by contacting the U.S. Federal Trade Commission (see this FTC posting for further details) the office of your state Attorney General, or the government agency responsible for investigating matters such as this where you reside this FTC posting for further details) the office of your state Attorney General, or the government agency responsible for investigating matters such as this where you reside.nn.
Staff Machine Learning Engineer Uber Technologies IncStaff Machine Learning EngineerSan Francisco, CAThe mission of the team is to foster growth and increase profitability of Uber by pushing the frontiers of machine learning data science and economics and developing highly reliable and scalable platforms to accelerate Ubers impact on the transportation industry. Build elastic scalable and fault-tolerant distributed machine learning libraries and systems used to power machine learning development productivity across Uber.
Last Minute AI-Machine Learning Summer Internship (Gen AI - Multimodal) EluvioLast Minute AI-Machine Learning Summer Internship (Gen AI - Multimodal)Berkeley, CAThis position offers an internship opportunity for students with excellent academic records pursuing graduate degrees in computer science, data science, or related fields (or advanced undergraduates) to work in our office with our software engineering team on ML, DL and data science solutions. Eluvio is a highly focused and ambitious team of systems, networking, application, and video software engineers, AI scientists, ML engineers, and security experts working together to implement the vision of the Content Fabric - a decentralized platform for video and commerce with the ambition of serving the world's Internet video.
Staff Machine Learning Engineer, Search Ranking Snap IncStaff Machine Learning Engineer, Search RankingSan Francisco, CA$229,000–$343,000 / year8+ years of post-Bachelor's machine learning experience; or Master's degree in a technical field + 7+ year of post-grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience. Develop and improve ranking models using techniques such as learning-to-rank, deep retrieval, neural ranking, sequence models, embeddings, multi-task learning, calibrated prediction, and large-scale feature engineering.
Staff Machine Learning Engineer - Content and Contributor Intelligence (Remote - United States) Yelp IncStaff Machine Learning Engineer - Content and Contributor Intelligence (Remote - United States)San Francisco, CARemote$112,000–$269,000 / yearYelps mission of connecting people with great local businesses requires the use of cutting-edge Machine Learning (ML) and Artificial Intelligence (AI) to scale across a vast and diverse base of users and businesses spanning various geographical locations. What it takes to succeed: Experience developing and productionizing machine learning models, particularly in neural networks, computer vision and LLMs including their supported data pipelines.
Master''s Fall Machine Learning Internship ATG - Visual Search Pinterest IncMaster''s Fall Machine Learning Internship ATG - Visual SearchSan Francisco, CAAbility to legally work full time (40 hours/week) from September-December 2026 Working towards a Master's degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field Mastery of at least one systems language (Java, C++, Python) and one ML framework (Tensorflow, Pytorch, MLFlow) Proficiency with AI-native engineering, including the design of agent-friendly codebases. Contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems Write clean, efficient, and sustainable code Take proactive ownership over the completion and quality of your tasks and project with minimal guidance from your mentor, manager, and peers What we're looking for: This role will be on our Visual Search team.
Machine Learning Engineer Strava IncMachine Learning EngineerSan Francisco, CABuild from a rich dataset: Explore and use Strava's extensive unique fitness and geo datasets from millions of users to extract actionable insights, inform product decisions, and optimize existing features. Analyzing the Data: Work closely with product managers, data scientists, and engineers to find opportunities for applying machine learning to drive business impact and enhance Strava's features and measure impact.
Staff Machine Learning Engineer, Consumer Reddit IncStaff Machine Learning Engineer, ConsumerSan Francisco, CARemote$230,000–$322,000 / yearPreferred Qualifications: Subject matter expertise in Recommender systems, search systems (lexical and semantic retrieval and ranking),, advertising/auction systems, large-scale representation learning, or multimodal embedding systems, content understanding etc. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, and who want to help shape the future of discovery, relevance, and monetization at Reddit.
Staff Machine Learning Engineer, Fulfillment Planning DoorDash IncStaff Machine Learning Engineer, Fulfillment PlanningSan Francisco, CA$137,100–$201,600 / yearWe value a diverse workforce - people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users-from Dashers to merchant partners to consumers.
Senior/Principal Machine Learning Engineer Workday IncSenior/Principal Machine Learning EngineerPleasanton, CA$230,400–$345,600 / year10+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation. 7+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation.
Senior Manager, Imaging Machine Learning Insitro IncSenior Manager, Imaging Machine LearningSouth San Francisco, CA$247,000–$262,000 / yearIn addition to working closely with the lab, you and your team will partner closely with our imaging software team, responsible for co-developing and scaling methods your team develops, and computational biologists who will subsequently leverage these tools to extract program-level insights in conjunction with omics (perturb-seq) and clinical insights. Our discovery strategy integrates insights from multiple phenotypic readouts across diverse high-content data modalities, including data from public and proprietary human cohorts and in vitro cellular systems generated by our proprietary, automated wet-lab platforms.
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.
Staff Machine Learning Engineer Pricing GoFundMe, Inc.Staff Machine Learning Engineer PricingSan Francisco, CA$215,000–$322,000 / yearIn this role, you will design, develop, and deploy machine learning systems that power pricing and monetization programs across GoFundMe such as personalized donation and checkout experiences, donation yield optimization (one-time and recurring), recurring donor LTV optimization, fundraising goal suggestions, and more. Experience designing and deploying real-time model serving (sub-100ms to low-hundreds ms latency targets), including containerization, scalable inference, feature retrieval, and safe rollout strategies (canaries, shadowing, backward-compatible schema evolution).
Staff Machine Learning Engineer L4 Twilio IncStaff Machine Learning Engineer L4CAThis position is needed to scope, design, and deploy machine learning systems into the real world, the individual will closely partner with Product & Engineering teams to execute the roadmap for Twilio's AI/ML products and services. You will understand customers need, build data products that works at a global scale and own end-to-end execution of large scale ML solutions.
Staff Machine Learning Engineer, Rider Pricing & Incentives Uber Technologies IncStaff Machine Learning Engineer, Rider Pricing & IncentivesSan Francisco, CALead a group of SWEs and MLEs working on rider pricing and promotions to develop and implement new machine learning and optimization techniques powering billions of rides around the world and helping riders achieve their mobility needs. You will also work with serving infrastructure and product teams to design and evolve the rider pricing and promotions systems to support new product and algorithm evolutions promotion use cases and drive Ubers top-line rider and revenue growth.
Lead Machine Learning Engineer Wells Fargo & CoLead Machine Learning EngineerSan Francisco, CA$119,000–$224,000 / yearThey are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. About this role: The AI/ML Data Architecture, Engineering, and Enablement team is seeking a Lead Machine Learning Engineer (Predictive AI) to design and deliver advanced solutions that support the full lifecycle of machine learning, from experimentation through production monitoring.
Machine Learning Engineer, ASE Search Team Apple IncMachine Learning Engineer, ASE Search TeamSan Francisco, CAThis is a hands-on role where you will collaborate closely with cross-functional teams to bring advanced ML technologies into production-shaping how users discovery content they love in Apple TV app, cross Apple TV partners on Apple Platforms, also through Siri and Spotlight. Our team builds the core intelligence that powers search discovery experiences in the Apple TV App, Siri, and Spotlight cross platforms, helping users effortlessly find and enjoy the content they love.
Staff Machine Learning Engineer - Data Kodiak Robotics, IncStaff Machine Learning Engineer - DataSan Francisco, CA$200,000–$265,000 / yearShould the position require, and Kodiak determines that a candidate's residence, U.S. person status, and/or citizenship status necessitate an export license, bar the candidate from the position, or otherwise fall under national security-related restrictions, Kodiak will consider the candidate for alternative positions unaffected by such restrictions, under terms and conditions set forth at Kodiak's sole discretion, or, as an alternative, opt not to proceed with the candidate's application. Proven ability to build scalable ELT pipelines and data models using SQL and modern data lakes using automated workflow orchestration tools such as Apache Airflow / MetaFlow.
Principal Machine Learning Engineer- LLM Fine-tuning and Optimization Airbnb IncPrincipal Machine Learning Engineer- LLM Fine-tuning and OptimizationSan Francisco, CARemote$292,000–$365,000 / yearThe team develops and enhances various AI models, ML services and tools including LLM fine-tuning, alignment and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. Post-training experience in areas like data processing for fine-tuning; responsible LLMs; LLM alignment; reinforcement learning; efficient training and inference; language model evaluation; and/or multilingual and multimodal modeling.
Machine Learning Engineer, Marketplace Optimization DoorDash IncMachine Learning Engineer, Marketplace OptimizationSan Francisco, CAWe leverage artificial intelligence and advanced ML, deep learning techniques to power decision-making in real time - from optimizing ad auctions to generating the most efficient bids and pacing budgets dynamically. The mission of the Marketplace Optimization team is to ensure we maintain a healthy Ads Marketplace across all our verticals for both search (query context) and discovery experiences while fulfilling the requirements of all players in this marketplace.
Sr Staff Machine Learning Engineer Palo Alto Networks IncSr Staff Machine Learning EngineerSan Francisco, CA$141,000–$228,075 / yearResearch & Publication: Disseminate cutting-edge research findings and contribute to the security community by publishing results in technical blogs, industry white papers, and academic papers, particularly on topics related to malware analysis and AI in security. You will also spearhead the design and implementation of innovative security solutions using generative AI, large language models (LLMs), and agentic systems to automate and scale our detection and response capabilities, keeping us ahead of sophisticated adversaries.
Machine Learning PhD Intern, Economics Maplebear IncMachine Learning PhD Intern, EconomicsSan Francisco, CAThe Economics team at Instacart works on a range of interesting and challenging problems at the intersection of machine learning and economics, from aligning the incentives in our multi-sided marketplace to analyzing the impact of behavioral nudges on our customers' and shoppers' decisions. Some of the core areas of focus for our team include online advertising, uplift and long term value modeling, logistics, marketplace optimization (consumers, shoppers, retailers), inventory intelligence, and general causal inference.
Machine Learning Engineer - Model Evaluations, Public Sector Scale AI IncMachine Learning Engineer - Model Evaluations, Public SectorSan Francisco, CAMachine Learning Engineer - Model Evaluations, Public SectorThe Public Sector ML team at Scale deploys advanced AI systems-including LLMs, agentic models, and multimodal pipelines-into mission-critical government environments. As an ML Engineer, you will design, implement, and scale automated evaluation pipelines that help customers trust and operationalize advanced AI systems across defense, intelligence, and federal missions.
Director of Machine Learning EvenUp IncDirector of Machine LearningSan Francisco, CAReporting directly to the Head of Data Science, you will establish ownership and direction across several high-impact, GenAI-heavy product areas, including Document Generation, Agentic Systems (including Voice Agents), Data and Knowledge Management, and more. We only post open roles on our career page (evenuplaw.com/careers) or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com, @evenup.ai,
Machine Learning Engineer I Stryder CorpMachine Learning Engineer ISan Francisco, CAYoull work on hard problems - behavioral signal sparsity in a search domain, cold-start at institutional scale, multi-objective optimization across a three-sided marketplace - and youll be expected to take big swings on them. Owner: Take end-to-end ownership of ML models and features - from problem framing and experimentation through deployment and production monitoring - with growing autonomy over time.
Machine Learning Engineer - Deployment Kodiak Robotics, IncMachine Learning Engineer - DeploymentSan Francisco, CA$200,000–$265,000 / yearShould the position require, and Kodiak determines that a candidate's residence, U.S. person status, and/or citizenship status necessitate an export license, bar the candidate from the position, or otherwise fall under national security-related restrictions, Kodiak will consider the candidate for alternative positions unaffected by such restrictions, under terms and conditions set forth at Kodiak's sole discretion, or, as an alternative, opt not to proceed with the candidate's application. In this role, you will: Help design, train, with a focus towards deploying onboard machine learning models that improve the performance/latency of the Kodiak autonomy stack which includes quantization, pruning, converting to ONNX/TensorRT, custom GPU kernels and profiling.
Staff Machine Learning Engineer - VLM/LLM Evaluation Waymo LLCStaff Machine Learning Engineer - VLM/LLM EvaluationSan Francisco, 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.
Machine Learning - Research Causal Labs IncMachine Learning - ResearchSan Francisco, CAResponsibilitiesWork across the full ML stack (data, model, eval, and infrastructure)Implement novel model architectures and training algorithmsBuild data pipelines and training infrastructure for massive, petabyte-scale, multimodal datasetsRapidly iterate on experiments and ablationsStay up-to-date on research to bring new ideas to workWhat we're looking forWe value a relentless approach to problem-solving, rapid execution, and the ability to quickly learn in unfamiliar domains. Causal Labs is a team of researchers and engineers from self-driving, drug discovery, and robotics - including Google DeepMind, Cruise, Waymo, Meta, Nabla Bio, and Apple - who believe general causal intelligence will be the most important technical breakthrough for civilization.
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.
Machine Learning Engineer Intern (Summer 2026) Pulse Software CorpMachine Learning Engineer Intern (Summer 2026)San Francisco, CA$40–$70 / hourWe're a small, fast-growing team in San Francisco powering Fortune 100 enterprises, YC startups, public investment firms, and growth-stage companies. As a Machine Learning Engineer Intern, you'll work directly with our founding engineers on core ML challenges at the intersection of computer vision, NLP, and data infrastructure.
Machine Learning Engineer: Perception Bedrock Robotics IncMachine Learning Engineer: PerceptionSan Francisco, CAWhat You'll Do: Design Early Fusion Architectures: Develop and train state-of-the-art models (e.g., BEV-based transformers) that fuse raw Lidar and Camera data to solve for object detection and semantic segmentation. Backed by $350M in funding, we're working quickly to close the gap between Americas surging demand for housing, data centers, manufacturing hubs, and the construction industrys growing labor shortage.
Sr. Machine Learning Engineer, Responsible AI- Applied Research Science Pinterest IncSr. Machine Learning Engineer, Responsible AI- Applied Research ScienceSan Francisco, CARemote$189,721–$332,012 / yearCollaborate with other engineering teams (trust and safety, ML Platform, Content Understanding, Search, Homefeed,) to leverage their platforms and signals and work with them to collaborate on the adoption and evaluation of Responsible AI practices and ML Fairness tooling across Pinterest. These range from Generative AI alignment, evaluation, and mitigations - ensuring these models are safe, bias-free, and aligned with Pinterest's vision and policies - to championing ML Fairness and developing user-facing features that enhance our product for all users.
Machine Learning Engineer Swish AnalyticsMachine Learning EngineerSan Francisco, CaliforniaRemoteThey can assist with optimizing the different aspects of the modeling process (Data Validation, Data Visualization, Data Stores & Structures, Feature Engineering, Model Training & Evaluation, Deployments) and improving a variety of Swish products. Work closely with DevOps and Data Engineering teams to assist with implementation, optimization and scale workloads on Kubernetes using CI/CD, automation tools and scripting languages.