NewAutonomy Engineer Intern, Computer Vision / Deep Learning, Summer 2027 SkydioAutonomy Engineer Intern, Computer Vision / Deep Learning, Summer 2027San Mateo, CaliforniaThe Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders , soldiers in battlefield scenarios , and beyond . You will architect and implement the algorithms that run on every drone powered by Skydio as part of a world class computer vision and deep learning team with researchers who have pushed the state of the art in academia and industry.
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 (Senior Level) ApolisMachine Learning Engineer (Senior Level)Cincinnati, OH$50–$55 / hourWe are seeking a Senior Machine Learning Engineer with extensive experience in designing, developing, deploying, and optimizing enterprise-scale machine learning solutions. This role requires technical leadership in building scalable ML systems, productionizing models, and driving MLOps best practices.
Machine Learning Engineer - E-commerce Merchant and Creator Growth - San Jose TikTok IncMachine Learning Engineer - E-commerce Merchant and Creator Growth - San JoseSan Jose, CAIn this role, you will collaborate with cross-functional teams including data scientists, product managers, and business stakeholders to develop innovative solutions that drive the growth of merchants and creators in TikTok Shop. Utilize advanced machine learning techniques to analyze large-scale datasets and identify meaningful, correlations, and causal relations related to merchant and creator growth in TikTok Shop.
Senior Machine Learning Engineer Rubrik IncSenior Machine Learning EngineerPalo Alto, CA$188,500–$282,700 / yearClassification of protected categories is as follows: A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability. Designing multi-stage inference pipelines that handle both real-time enforcement (inline prompt, response, and tool-call blocking) and high-throughput batch workloads (offline scoring, back-testing, corpus mining) while processing billions of tokens daily across Global 2000 customer agent fleets.
Machine Learning Engineer, Detection and Tracking Helsing GmbHMachine Learning Engineer, Detection and TrackingWashington, DCThis is an applied ML role: you won''t be writing research papers, but you will be expected to have strong intuition for model performance, data quality, and the practical trade-offs involved in getting detection and tracking systems to work reliably in production. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.
Staff Machine Learning Engineer, Consumer Reddit IncStaff Machine Learning Engineer, ConsumerSan Francisco, CARemote$230,000–$322,000 / yearWe 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. Experience with LLM/GenAI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale.
Machine Learning Engineer System1 Group PlcMachine Learning EngineerCAYou will work as a first-class member of the team alongside Product Managers, Engineers and Data Scientists to turn hard prediction problems into models that make our customers' decisions measurably better. You need to have the following experience: To be successful in this role, you will have approximately 3-5 years of hands-on machine learning experience and be ready to operate as a first-class member of an empowered product team.
NewStaff Machine Learning Engineer RemitlyStaff Machine Learning EngineerSeattle, WashingtonExperience with one or more of Deep Learning algorithms, Large Language Models, Causal Inference, Personalization, Knowledge Graphs, Natural Language Processing would be desirable. We serve millions of customers sending billions of dollars each year across 170+ countries, and our work impacts communities on a truly global scale.
NewMachine Learning Engineer, Marketplace Optimization DoorDash USAMachine Learning Engineer, Marketplace OptimizationSan Francisco, CA; SunnyvaleWe 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 Machine Learning Infrastructure Engineer, Embedding Platform Reddit IncSenior Machine Learning Infrastructure Engineer, Embedding PlatformCARemote$190,800–$267,100 / yearAt the senior level, you will own major technical components end to end: designing models, implementing training and evaluation pipelines, and driving production deployment in close partnership with ML platform, product, and cross-functional ML teams. Work with cross-functional partners across product, relevance, ads, and core ML teams to deliver measurable improvements in user experience and business impact.
Principal Machine Learning Engineer, Content Engineering Paramount Skydance CorpPrincipal Machine Learning Engineer, Content EngineeringNew York, NY$234,000–$260,000 / yearResponsibilities: Lead the ShortForm Pod: Define the technical roadmap for automated clip generation and video insight, managing a high-performing pod of ML engineers. This team is in charge of a critical mission: the automated transformation of our massive long-form content library into "ShortForm" assets-high-impact clips, "gists," and social-ready highlights.
Senior Engineer - Machine Learning Qualcomm IncSenior Engineer - Machine LearningSan Diego, CA$140,800–$211,200 / yearMinimum Qualifications: Bachelor''s degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. Master''s degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Senior Machine Learning Engineer, Lemon8 Recommendation (Multiple Positions) TikTok IncSenior Machine Learning Engineer, Lemon8 Recommendation (Multiple Positions)San Jose, CA$275,850–$387,600 / yearOf the required experience, must have 4 years of experience in each of the following: Building end-to-end model training pipelines using Python or Hadoop MapReduce, and training large-scale models using deep learning and machine learning (ML); Designing, developing, and implementing advanced machine learning and deep learning models, including supervised and unsupervised learning techniques; Researching, testing and productionizing state-of-the-art deep learning models and methods; Using SQL and Spark to perform large-scale dataset analysis, including user behavior, probability distribution, and time series analyses; and Utilizing Big Data Framework Hadoop or Flink. Qualifications Must have a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Data Science, Analytics (any), Mathematics, or a related field, and 4 years of related work experience.
Machine Learning Engineer Graduate (TikTok Vertical Recommendation) - 2027 Start TikTok IncMachine Learning Engineer Graduate (TikTok Vertical Recommendation) - 2027 StartSan Jose, CAWe work at the intersection of machine learning and large-scale distributed systems, in a fast-paced, collaborative and impact-driven culture where your work directly shapes what users discover on TikTok every day. Deliver end-to-end machine learning engineering solutions: from model implementation and feature engineering on large-scale user behavior data to online deployment.
Senior Machine Learning Engineer, TikTok Trust and Safety TikTok IncSenior Machine Learning Engineer, TikTok Trust and SafetySeattle, WAThis position will work with a team of excellent research scientists and machine learning engineers who can take initiative, design and develop advanced machine learning solutions, and deploy them directly to TikTok s global platform. Our Trust and Safety RD team is fast-growing and responsible for building machine learning models and systems to identify and defend internet abuse and fraud on our platform.
Machine Learning Engineer Graduate (Brand Ads) - 2027 Start TikTok IncMachine Learning Engineer Graduate (Brand Ads) - 2027 StartSan Jose, CAGood understanding of online advertising systems, especially one or more of the following areas: guaranteed delivery, reservation ads, pacing, allocation, inventory forecasting, traffic strategy, brand safety, ads ranking, bidding, or auction systems. Responsibilities: As a Machine Learning Engineer on the Brand Ads team, you will work on real-world problems such as forecasting available inventory, optimizing auction traffic, and using machine learning to improve delivery quality and efficiency.
Machine Learning Engineer - Marketplace Growth (TikTok Global E-commerce Supply Chain and Logistics) TikTok IncMachine Learning Engineer - Marketplace Growth (TikTok Global E-commerce Supply Chain and Logistics)San Jose, CAThe E-Commerce Supply Chain and Logistics team is dedicated to enhancing clients shopping experience and reducing operational costs in the supply chain and logistics of TikTok E-commerce by developing end-to-end algorithm capabilities using machine learning, operations research, data mining, and causal inference methods. In this role, you will collaborate with cross-functional teams including data scientists, engineers, product managers, and business stakeholders to develop innovative solutions that unlock the value hidden within our data, leading to improved decision-making and operational efficiencies.
Machine Learning Engineer - E-commerce Merchant and Creator Growth TikTok IncMachine Learning Engineer - E-commerce Merchant and Creator GrowthSeattle, WAIn this role, you will collaborate with cross-functional teams including data scientists, product managers, and business stakeholders to develop innovative solutions that drive the growth of merchants and creators in TikTok Shop. Utilize advanced machine learning techniques to analyze large-scale datasets and identify meaningful, correlations, and causal relations related to merchant and creator growth in TikTok Shop.
Machine Learning Engineer Graduate (Brand Ads) - 2027 Start (PhD) TikTok IncMachine Learning Engineer Graduate (Brand Ads) - 2027 Start (PhD)San Jose, CAGood understanding of online advertising systems, especially one or more of the following areas: guaranteed delivery, reservation ads, pacing, allocation, inventory forecasting, traffic strategy, brand safety, ads ranking, bidding, or auction systems. Responsibilities: As a Machine Learning Engineer on the Brand Ads team, you will work on real-world problems such as forecasting available inventory, optimizing auction traffic, and using machine learning to improve delivery quality and efficiency.