Machine Learning Scientist 4 - Generative Models, Evaluation Netflix IncMachine Learning Scientist 4 - Generative Models, EvaluationCA$300,000–$537,000 / yearApply state-of-the-art techniques to high-impact problems such as summarization quality and building LLM-based evaluators ("judges") that assess whether generated content meets quality bars. In this rare opportunity, you will have the chance to define the direction for algorithmic strategies and spearhead the execution of ML solutions and ultimately shape how titles are promoted on Netflix and discovered by our members.
Display Algorithm Engineer / Machine Learning Engineer Apple IncDisplay Algorithm Engineer / Machine Learning EngineerCalifornia, CAColor and/or Imaging Science, Computer Science, Electrical Engineering) or equivalent field and 5+ years of relevant experience Familiarity with agentic AI technology and applications Exceptional written and verbal communication skills, especially in the communication of technical concepts to a cross-functional team as well as leadership Proven ability to work collaboratively within a large group of engineers Proactive, self-motivated engineer who can take the initiative and lead improvement, drive & meet key project targets. The Display Intelligence team in the Visual Experience & Incubation organization has worked on color calibrations including gray tracking, gamma cal, uniformity, primary, as well as display features such as True Tone, ambient light sensor confidence estimator, Auto Brightness, spatial computing display interplay and many other novel features to enable the best front-of-screen user experience.
Machine Learning Engineer True Anomaly IncMachine Learning EngineerLong Beach, CA$105,000–$220,000 / yearTo conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Working alongside experienced engineers, you will support the development of models and pipelines that enable object classification, anomaly detection, and data-driven decision-making.
Machine Learning Engineer II-III, Space Edge Deployment True Anomaly IncMachine Learning Engineer II-III, Space Edge DeploymentLong Beach, CA$125,000–$220,000 / yearTo conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Bachelor''s degree in computer science, machine learning, data science, electrical engineering, or a similar discipline, plus 2-4 years of experience; or a Master''s degree in one of these fields with no experience required.
Senior/Staff Machine Learning Engineer StackAdaptSenior/Staff Machine Learning EngineerOntario, CARemote$170,400–$234,300 / yearFactors Influencing Final Compensation: The final compensation offer will be determined by a variety of factors, which may include, but are not limited to: the candidate's specific experience, technical skills, knowledge, abilities, and relevant education, licensure, and certifications. You'll be working directly with our Data Scientists, Machine Learning engineers, Engineering teams, and our CTO/Co-Founder on building pipelines and ad optimization models.
Machine Learning Engineer BioRenderMachine Learning EngineerCAOur Machine Learning Team is at the forefront of this vision, automating figure generation from diverse user inputs like experimental protocols and research publications, and producing scientifically accurate, editable visuals using our library of icons and templates. What youll be doing: Combine computer vision and code generation: Develop structured, editable visuals (e.g., SVG/JSON) that accurately represent scientific concepts.
Principal Machine Learning Researcher (Physical AI) FreeformPrincipal Machine Learning Researcher (Physical AI)Los Angeles, CA$200,000–$500,000 / yearThe role focuses on developing machine learning methods that integrate large-scale physical data with physics-based simulation and embedding these models into closed-loop control and autonomy frameworks. Work includes modeling relationships between process inputs, geometry, and machine state to predict thermal, mechanical, and geometric outcomes during printing, using hybrid physics-ML approaches and multi-modal in-situ data.
Machine Learning Engineer - Vision Hadrian AutomationMachine Learning Engineer - VisionTorrance, CaliforniaBacked by leading investors including JPMorgan Chase, Valor Equity Partners, Andreessen Horowitz, Founders Fund, 137 Ventures, Lux Capital, T. Rowe Price, and Morgan Stanley, we’re building the future of American manufacturing—and looking for exceptional people to help make it happen. Series D at a $7.87B valuation, Hadrian is rapidly expanding our manufacturing footprint, launching new capabilities across welding, casting, forging, electronics, additive manufacturing, and more, while scaling our Factory-as-a-Service platform to transform how critical products are built.
Machine Learning Engineer - Vision HadrianMachine Learning Engineer - VisionLos Angeles, CA$160,000–$300,000 / yearBacked by leading investors including JPMorgan Chase, Valor Equity Partners, Andreessen Horowitz, Founders Fund, 137 Ventures, Lux Capital, T. Rowe Price, and Morgan Stanley, we're building the future of American manufacturing-and looking for exceptional people to help make it happen. Series D at a $7.87B valuation, Hadrian is rapidly expanding our manufacturing footprint, launching new capabilities across welding, casting, forging, electronics, additive manufacturing, and more, while scaling our Factory-as-a-Service platform to transform how critical products are built.
Machine Learning Scientist 5 - Ad Ranking Netflix IncMachine Learning Scientist 5 - Ad RankingCA$466,000–$750,000 / yearOur goal is to create innovative, data-driven solutions that deliver highly relevant ad experiences for our members and achieve impactful results for advertisers, all while upholding the exceptional quality and personalization characteristic of the Netflix experience. Our new tier allows us to attract new members at a lower price point while also creating a compelling path for advertisers to reach deeply engaged audiences.
Staff Machine Learning Engineer, Gen AI | Voice & Speech Weave Communications IncStaff Machine Learning Engineer, Gen AI | Voice & SpeechCARemoteMonitor the industry landscape, anticipate where technological advances are heading, and ensure Weave stays ahead of the curve.e. Cut through noise and hype to identify genuine strategic value; advocate for and lead key initiatives that prepare Weave for emerging challenges. In this role, you will help design how teams across Weave build out AI-powered features, serving as a technical leader who bridges the gap between sophisticated machine learning and practical, customer-facing products.
Staff Machine Learning Software Engineer Bio-Rad Laboratories IncStaff Machine Learning Software EngineerIrvine, CA$157,400–$216,400 / yearThe Staff Machine Learning Software Engineer contributes to and executes against a predefined AI/ML engineering direction for a domain or product area, applying algorithm and modeling expertise to real-time signal and image processing systems built around agentic tools and approaches. Work Experience: 7-10 years of experience in machine learning, signal processing, or a related quantitative field, including deep hands-on execution within a domain or product area, and early, hands-on adoption of agentic or AI-assisted development tools.
Rainmaker Fellow, Machine Learning Rainmaker Technology CorporationRainmaker Fellow, Machine LearningEl Segundo, CaliforniaAs a fellow, you will join Rainmaker's R&D team and work alongside our researchers on a scoped machine-learning project drawn from Rainmaker's current research priorities and defined in close collaboration with your research lead or mentor. The Rainmaker Machine Learning Fellowship is a paid, full-time research appointment for exceptional undergraduate and graduate students, postdoctoral researchers, recent graduates, and other early-career researchers.
Machine Learning Scientist 5 - Sales, Ads DSE Netflix IncMachine Learning Scientist 5 - Sales, Ads DSECA$466,000–$750,000 / yearWe're looking for someone who can identify the highest-leverage opportunities, propose solutions, and drive them end-to-end to transform how Netflix's ad sales business operates, using data science, AI, and machine learning to help sellers work smarter, close more deals, and scale Ads revenue without scaling headcount at the same pace. As the ML lead for Sales productivity and automation, you'll own the technical vision and execution across areas such as: Workflow Automation: In partnership with Product, identify and automate high-friction points in the Sales workflow to reduce delays, eliminate manual work, and improve accuracy - so sellers spend less time on process and more time on selling.
Staff Machine Learning Engineer Primer.aiStaff Machine Learning EngineerPasadena, CAHands-on depth with LLMs and agentic systems (prompt and context engineering, tool use, retrieval and RAG) and the broader ML toolkit such as PyTorch, plus experience defining evals to measure and improve quality. Design and build the distributed, agentic systems behind our products at company-wide scale: tool-using conversational agents, multi-turn context, retrieval-grounded reasoning, and the orchestration that ties them together.
Machine Learning Scientist 5 - Ads Bidding Netflix IncMachine Learning Scientist 5 - Ads BiddingCA$466,000–$750,000 / yearResponsibilities: Design and implement machine learning-driven bidding algorithms that optimize ad performance against objectives such as Clicks, Conversions, CPA and ROAS, Build, train, and evaluate bidding algorithms on large-scale production data, ensuring robustness to marketplace dynamics, seasonality, and distribution shifts. Our mission is to develop innovative, data-driven solutions that deliver highly relevant ad experiences to our members and drive impactful results for advertisers-all while maintaining the exceptional quality and personalization that define the Netflix experience.
Machine Learning Scientist 5, Markeplace - Ads DSE Netflix IncMachine Learning Scientist 5, Markeplace - Ads DSECA$466,000–$750,000 / yearOur goal is to create innovative, data-driven solutions that deliver highly relevant ad experiences for our members and achieve impactful results for advertisers, all while upholding the exceptional quality and personalization characteristic of the Netflix experience. Our new tier allows us to attract new members at a lower price point while also creating a compelling path for advertisers to reach deeply engaged audiences.
AIML - Machine Learning Manager, Red Teaming - Responsible AI and Safety Apple IncAIML - Machine Learning Manager, Red Teaming - Responsible AI and SafetyCalifornia, CAThis team is also responsible for building the operating model to support that work: hiring and developing red-teaming engineers with sustained feature ownership, working with a skill crowd workforce paired directly with those engineers, and standing up automated red-teaming capabilities. Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, EMNLP, etc.)Experience working on Responsible AI and AI SafetyStrong organizational and operational skills working with large, multi-functional, and diverse teams.
AIML - Machine Learning Engineer, Red Teaming - Responsible AI and Safety Apple IncAIML - Machine Learning Engineer, Red Teaming - Responsible AI and SafetyCalifornia, CAOwn a dedicated cluster of Apple Intelligence features and build sustained expertise in their architecture and failure modesActively probe systems pre-ship and post-ship to find real, reproducible vulnerabilitiesInvent novel attack strategies and keep pace with newly published jailbreak and attack researchValidate and triage findings by severity and reach, and drive them through to mitigationDesign and build automated red-teaming tooling to scale attack generation and testing coverageIdentify gaps in policy and evaluation coverage and feed them back to eval and mitigation teamsPartner with the internal and external crowd and and with adjacent security teams to route findings appropriatelyWork with highly sensitive content, including exposure to offensive and controversial material. This role also involves building automated red-teaming tooling - attack generation, batch orchestration, and feedback loops against known issues - to scale beyond manual testing, and partnering with a dedicated crowd and with adjacent security teams to scale efforts as well as share findings and best practices.
Machine Learning Architect, Personalization Thredup IncMachine Learning Architect, PersonalizationCA$250,000–$300,000 / yearIn this role, you'll set the architectural direction that our personalization teams build on, and you'll be a key technical advisor to other teams shaping the data, backend, and frontend systems that power our recommender system. Many ThredUp employees also have the opportunity to own shares of ThredUp stock, ThredUp employees are eligible for discretionary restricted stock unit awards, as well as a discount when purchasing ThredUp stock if voluntarily participating in ThredUp's Employee Stock Purchase Plan.