NewStaff Machine Learning Engineer, Responsible AI Engineering Visa Technology and Operations LLCStaff Machine Learning Engineer, Responsible AI EngineeringFoster City, CA$169,100–$270,800 / yearAs an AI Engineer in AI Governance engineering team, you will have the unique chance to make a direct and meaningful impact by building and delivering solutions that power AI Governance engineering solutions. Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
NewQuant Engineer JobotQuant EngineerSan Francisco, CA$300,000–$375,000 / yearInformation collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. Our platform transforms complex and fragmented market information into actionable pricing and investment intelligence for leading asset managers, investment banks, venture funds, and other sophisticated financial institutions.
NewSoftware Engineer - Sr Consultant level Visa Technology and Operations LLCSoftware Engineer - Sr Consultant levelFoster City, CA$169,100–$270,800 / yearYou will work on innovative solutions that combine deep technical expertise with AI/ML capabilities to enhance developer productivity, improve customer experiences, and drive next-generation commercial payment and money movement technology for B2B, B2C, P2P, and G2C flows. Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
NewApplications Program Analyst Visa Technology and Operations LLCApplications Program AnalystFoster City, CA$123,000–$190,900 / yearPreferred Qualifications • 2 years or more with an Advanced Degree (Masters/PhD in Computer Science) • Proficiency in implementing and fine-tuning AI models using popular frameworks (e.g., TensorFlow, PyTorch, scikit-learn) • Exposure to leading-edge areas such as Machine Learning, Deep Learning, Stream Computing and MLOps. Translate complex business challenges into clear engineering roadmaps , user requirements, and technical specifications that enable breakthrough innovation across payment flows, fraud intelligence, data products, and real‑time commerce platforms.
Staff Software Engineer Visa Technology and Operations LLCStaff Software EngineerFoster City, CA$146,200–$233,700 / yearMasters, MBA, JD, MD) or 0 years of work experience with a PhD Preferred Qualifications • Experience with AI frameworks, LLMs, or generative AI (Claude, GPT, LangChain, etc.) • Knowledge of AI-powered development tools or building AI-enabled applications • Experience applying AI to engineering challenges or customer-facing features • Understanding of commercial payments, money movement, B2B payables, or payment processing • Experience with cloud platforms, microservices, and containerization (Docker, Kubernetes) • Knowledge of API design, integration patterns, and distributed systems • Familiarity with observability, monitoring, or DevOps practices. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base.
NewStaff Data Engineer Visa Technology and Operations LLCStaff Data EngineerFoster City, CA$146,200–$233,700 / yearVisa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
NewSenior Staff Engineer, AI Governance Visa Technology and Operations LLCSenior Staff Engineer, AI GovernanceFoster City, CA$192,200–$307,700 / yearExperienced with high-performance imperative languages including Python, Java, Golang, React.js, Next.js • Built predictive models using Python and ML libraries and managed their lifecycle, from development to production. Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
Data Engineer - Sr. Consultant level Visa Technology and Operations LLCData Engineer - Sr. Consultant levelFoster City, CA$169,100–$270,800 / yearVisa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. Masters, MBA, JD, MD) or 2 years of work experience with a PhD Preferred Qualifications • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g.
NewStaff Research Scientist Visa Technology and Operations LLCStaff Research ScientistFoster City, CA$169,100–$270,800 / yearThe ideal candidate will focus on conducting advanced research in one or more subfields, for example, quantum error correction, quantum optimization, quantum simulation, quantum machine learning, distributed quantum computing and/or quantum security and privacy with the aim of applying their research outcomes to financial services and payments. We engage with the company's numerous technology and product teams, world-wide business partners, academics, and governments, to explore and develop technologies that will shape the future of the payments industry and impact the lives of billions of people.
Machine Learning Scientist - Natural Language Processing (NLP) - Vice President - Machine Learning Center of Excellence JPMorgan Chase & CoMachine Learning Scientist - Natural Language Processing (NLP) - Vice President - Machine Learning Center of ExcellenceCAThe CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
Machine Learning Scientist - Natural Language Processing (NLP) - Senior Associate - Machine Learning Center of Excellence JPMorgan Chase & CoMachine Learning Scientist - Natural Language Processing (NLP) - Senior Associate - Machine Learning Center of ExcellenceCAThe CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. The Chief Data & Analytics Office (CDAO) accelerates our data and analytics journey, with the Machine Learning Center of Excellence (MLCOE) creating and deploying solutions for complex business challenges.
Machine Learning Scientist - Natural Language Processing (NLP) - Vice President - Machine Learning Center of Excellence JPMorgan Chase Bank, N.A.Machine Learning Scientist - Natural Language Processing (NLP) - Vice President - Machine Learning Center of ExcellencePalo Alto, CAFull timeThe CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
Machine Learning Scientist - Quant AI - Senior Associate - Machine Learning Center of Excellence JPMorgan Chase Bank, N.A.Machine Learning Scientist - Quant AI - Senior Associate - Machine Learning Center of ExcellencePalo Alto, CAFull timeThe CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As a Machine Learning Scientist - Quant AI - Senior Associate within the Chief Data & Analytics Office (CDAO), you will work in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production.
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 / 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 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 Scientist/Senior Machine Learning Scientist - Synthesis Planning and Optimization, AI for Drug Discovery Genentech IncMachine Learning Scientist/Senior Machine Learning Scientist - Synthesis Planning and Optimization, AI for Drug DiscoverySan Francisco, CA$147,600–$274,000 / 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. Join the small-molecule team within AI for Drug Discovery (AI4DD), formerly Prescient Design, at Roche and Genentech's Computational Sciences Center of Excellence as a Machine Learning Scientist / Senior Machine Learning Scientist in Synthesis Planning and Optimization.
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 - Reinforcement Learning pony.aiMachine Learning Engineer - Reinforcement LearningFremont, CAShip deep learning solutions (including LLM / VLM where appropriate) that improve human-led triaging, automate high-volume workflows, and support nuanced analysis of self-driving behavior to surface critical anomalies. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale.
Machine Learning Engineer - Reinforcement Learning Pony.ai IncMachine Learning Engineer - Reinforcement LearningFremont, CAShip deep learning solutions (including LLM / VLM where appropriate) that improve human-led triaging, automate high-volume workflows, and support nuanced analysis of self-driving behavior to surface critical anomalies. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale.
Machine Learning Scientist/Senior Machine Learning Scientist - Agents for Applied Small Molecule Drug Design, AI for Drug Discovery Genentech IncMachine Learning Scientist/Senior Machine Learning Scientist - Agents for Applied Small Molecule Drug Design, AI for Drug DiscoverySan Francisco, CA$147,600–$274,000 / yearJoin the small-molecule team within AI for Drug Discovery (AI4DD), formerly Prescient Design, at Roche and Genentech's Computational Sciences Center of Excellence as a Machine Learning Scientist / Senior Machine Learning Scientist building agents for applied small-molecule drug design. The 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.
Machine Learning Engineer Staff & Principal Tubi IncMachine Learning Engineer Staff & PrincipalCA$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.
Senior Software Engineer - Scalable Machine Learning Latitude AI LLCSenior Software Engineer - Scalable Machine LearningPalo Alto, CA$179,200–$268,800 / yearWhen you join the Latitude team, you'll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering - all dedicated to making a real, positive impact on the driving experience for millions of people. What you''ll need to succeed: Bachelor''s degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master''s degree and 2+ years of relevant experience, or PhD).
Machine Learning Lead UmbaMachine Learning LeadSan Francisco, CaliforniaOur most complex system is our risk model, your day to day will include feature generation and model training using machine learning techniques, developing A/B testing procedures, implementing automated model retraining and creating new projects based on your findings. This platform uses machine learning and big data to build credit scores to optimize risk exposures and allows users to apply, receive and repay microloans and through their smartphone.
Machine Learning Engineer, Factory Vision Systems Tesla IncMachine Learning Engineer, Factory Vision SystemsFremont, CADesign develop and implement computer vision and machine learning models for factory and warehouse applications including defect detection visual inspection process monitoring and quality assurance using techniques like object detection segmentation and anomaly detection. Work with diverse heterogeneous datasets combining multiple modalities including images multi-spectral sensor outputs video text and tabular data to build scalable solutions.
Machine Learning Engineer Happy ElementsMachine Learning EngineerSan Francisco, CaliforniaExpert/Master in common families of machine learning models, feature engineering, feature selection techniques, and tuning of machine learning models. MS in Computer Science or Machine Learning with 2+ years of industry experience or PhD in related field with 1+ years of industry experience required.
Machine Learning Operations Engineer (MLOps) The Hiring MethodMachine Learning Operations Engineer (MLOps)Fremont, CaliforniaThe successful candidate will work directly with Process Engineering, Product Engineering, Test Engineering, Manufacturing, MES, and IT teams to build data pipelines, develop machine learning models, and deploy production-ready AI solutions into manufacturing workflows. A global leader in photonics and semiconductor technology is seeking a Machine Learning Operations (MLOps) Engineer to help develop, deploy, and scale AI/ML solutions within advanced manufacturing operations.
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.
Senior / Staff Machine Learning Engineer - Perception Attributes Zoox IncSenior / 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.
PhD Fall Machine Learning Intern ATG - Visual, Multimodal, and Recommender Systems Pinterest IncPhD Fall Machine Learning Intern ATG - Visual, Multimodal, and Recommender SystemsCAYou'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.
Distinguished Machine Learning Engineer - Safety RobloxDistinguished Machine Learning Engineer - SafetySan Mateo, CA$399,420–$457,970 / yearThe Safety org is the reason why Roblox is the safest place on the internet, protecting users You will provide technical leadership on AI/ML efforts for Trust and Safety as the Roblox platform scales to serve different age groups and geographic locations. As a Distinguished Machine Learning Engineer/Technical Director in the Safety organization at Roblox, you will drive the overall technical vision and execution for all machine learning initiatives focused on maintaining the safety and civility of our users.
Sr / Staff Machine Learning Engineer, Perception Rivian Automotive IncSr / Staff Machine Learning Engineer, PerceptionPalo Alto, CA$179,000–$285,000 / yearRivian 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 Cellanome IncMachine Learning EngineerFoster City, CA$160,000–$215,000 / yearRole Requirements: Typically requires a Bachelors degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, Physics, or a related technical field with 5+ years of relevant experience, or a Masters degree with 3+ years of relevant experience. The Machine Learning Engineer will work in close collaboration with the core instrument, assay and software teams to develop algorithms for data analysis and workflow automation.
Principal Machine Learning Engineer, Content Safety RobloxPrincipal Machine Learning Engineer, Content SafetySan Mateo, CA$295,250–$345,040 / yearStrategic Stakeholder Partnership: Collaborate with executive-level Product, Data Science, Policy, and Operations leaders to define and prioritize the strategic machine learning roadmap, influencing product strategy and demonstrating the impact of ML on user trust and safety outcomes. Define and Own the Technical Vision: Define and lead the multi-year technical vision, architectural strategy, and execution for machine learning solutions in Content Safety, ensuring these systems proactively and effectively detect and mitigate violative content at massive scale.
Machine Learning Engineer Expert In Recruitment SolutionsMachine Learning EngineerFremont, CAThis position requires hands-on experience with model development, deployment, monitoring, and maintenance in production environments, as well as the ability to work with diverse and multi-modal datasets, including images, sensor data, voice, text, and structured data. You will transform complex and ambiguous business challenges into scalable, end-to-end solutions using a variety of machine learning techniques, including supervised learning, computer vision, and deep learning frameworks such as PyTorch.
Machine Learning Engineer I HandshakeMachine Learning Engineer ISan Francisco, CaliforniaYou'll join a high-impact team leveraging cutting-edge ML infrastructure, including embedding-based retrieval, Graph Neural Networks, and multi-stage rankers built upon a robust data platform with billions of data points. Innovator: Develop and iterate on machine learning models and features that directly influence user experience across lifecycle, notifications, and monetization — with guidance from senior engineers.
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.
Machine Learning Engineer PoesisMachine Learning EngineerSan Francisco, CaliforniaAt Poesis, machine learning and artificial intelligence open the door to improved alpha discovery, higher quality decision-making and intelligent risk management. You'll work across the full machine learning lifecycle, from experimentation and model and agent development to deployment and iteration, with significant ownership over both research and production outcomes.
Machine Learning Engineer Unity Software IncMachine Learning EngineerSan Francisco, CA$143,200–$214,800 / yearWhile 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. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
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.
Staff Machine Learning Engineer, AI Infrastructure Tesla IncStaff Machine Learning Engineer, AI InfrastructurePalo Alto, CA$168,000–$300,000 / yearAs a Machine Learning Engineer on the Bottle Rocket team, you will play a critical role in developing innovative, data-driven solutions on Tesla's generative AI platform. Analyze and improve the accuracy, efficiency, and scalability of AI models through rigorous data-driven experimentation, evaluation, and iterative model training processes.
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.
Lead Machine Learning Engineer - LMTS Salesforce IncLead Machine Learning Engineer - LMTSSan Francisco, CA$172,500–$260,100 / yearOperationalize Intelligence: By prioritizing engineering rigor (CI/CD, scalable code) and adversarial resilience, you will deliver production-grade models that the SOC actually trusts-minimizing "alert fatigue" and maximizing analyst efficiency. Your work will expose sophisticated threats-such as active system intrusions, lateral movement, beaconing, and insider attacks-that evade traditional defenses, directly reducing the organization's risk surface.
Machine Learning Engineer PhysicsXMachine Learning EngineerSan Francisco, CaliforniaYou’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. What you bring to the table 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 Ops Engineer WaabiSenior / Staff Machine Learning Ops EngineerSan Francisco, CA$157,000–$234,000 / yearWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. Relevant MLOps certifications (e.g., AWS Certified Machine Learning - Specialty, DataRobot MLOps Certification) are a plus.
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).
Machine Learning Scientist, Applied Machine Learning and Agentic AI, Pharma R&D Tempus AI IncMachine Learning Scientist, Applied Machine Learning and Agentic AI, Pharma R&DRedwood City, CA$100,000–$150,000 / yearThe Machine Learning Scientist, Applied Machine Learning and Agentic AI will contribute to the technical development of cutting-edge agentic frameworks designed to automate the discovery of novel prognostic and predictive models in oncology. You will apply advanced scientific methodologies to develop new predictive models and utilize causal inference frameworks to analyze vast multimodal oncology data, helping to scale scientific discovery from a manual process to a high-throughput, automated engine.
Machine Learning Eval Engineer Recruiting From ScratchMachine Learning Eval EngineerSan Francisco, CaliforniaRemoteBacked by world-class venture investors and built by an elite engineering team from companies including Stripe, Discord, Scale AI, and leading quantitative trading firms, the company is rapidly expanding its machine learning organization while maintaining an exceptionally high technical bar. As a Machine Learning Eval Engineer, you'll build the evaluation infrastructure that determines model quality, identifies failure modes, and drives improvements across production AI systems while working directly with machine learning, platform, and customer-facing teams.
Senior Staff Machine Learning Engineer, Consumer DoorDash IncSenior Staff Machine Learning Engineer, ConsumerSan Francisco, CA$242,800–$357,000 / 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. Mentor and guide a fast-growing organization in setting the right architectural patterns, working with various vendors in the space, and making judicious investments in the right areas anticipating what the company needs a few years down the road.
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.