• Staff Software Engineer , ML

    DoorDash (San Francisco, CA)
    …Logistics, Fraud, and Search. About the Role We're looking for a Staff Software Engineer with deep expertise in ML model serving to drive the next generation ... infrastructure teams (compute, storage, networking, dev platform) and with applied ML teams across Ads, Fraud, Logistics,...where it makes sense - to accelerate innovation. As Staff Software Engineer , you'll pair deep technical… more
    DoorDash (11/24/25)
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  • ML Data Engineer - Healthcare Data…

    Stanford University (Stanford, CA)
    ML Data Engineer - Healthcare Data...advances in AI. The intersection of these disciplines is applied to precision health, leveraging data across the entire ... data. **About the Position:** We are seeking an experienced ML Data Engineer to drive the programmatic...scalable, optimized and fault-tolerant. * Work closely with scientific staff , IT professional and project managers to understand their… more
    Stanford University (11/06/25)
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  • Member of Technical Staff - Machine…

    Amazon (San Francisco, CA)
    …human interfaces in the digital world. We are seeking a Machine Learning Engineer who combines strong ML expertise with software engineering excellence to ... Description The AGI Autonomy Perception team performs applied machine learning research, including model training, dataset...our leading computer-use agent. We are seeking a strong engineer who has a passion for scaling ML more
    Amazon (10/16/25)
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  • Staff Machine Learning Engineer

    Warner Bros. Discovery (San Francisco, CA)
    …and more. Turn your streaming obsession into a career- we're hiring! ** Staff MLE , Personalization, Content Discovery** **Location: Seattle, San Francisco Bay Area, ... You:** We are looking for a passionate Machine Learning Engineer to build and scale the DTC personalization models...alongside a team of passionate machine learning engineers and applied Machine Learning researchers to build and contribute to… more
    Warner Bros. Discovery (12/19/25)
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  • Senior Staff Software Engineer

    DoorDash (San Francisco, CA)
    …Platform team develops an industry-leading platform that enables data scientists, ML engineers and non-technical users to design, run and analyze experiments ... causal inference and data mining techniques + Drive the statistical and ML development of internal platforms, including both the theoretical and engineering aspects,… more
    DoorDash (12/01/25)
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  • Software Engineer

    Amazon (San Francisco, CA)
    …Maintain and improve the systems which power discovery on Twitch - Partner with Applied Scientists to improve ML models that match interested viewers with ... Role We are seeing Software Engineers to join the ML Products team. This team is focused on matching...team of Software Engineers and partner with Product Managers, Applied Scientists, and other engineering teams across the company.… more
    Amazon (11/11/25)
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  • Sr. Software Engineer , Manager

    Amazon (San Francisco, CA)
    …and search results for tens of millions of users a day - Power and enable ML applications at scale - Partner with applied scientists and other engineering teams ... innovative discovery experiences on Twitch. You'll partner closely with an applied science team to integrate cutting-edge algorithms into production systems that… more
    Amazon (12/18/25)
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  • Software Development Engineer II, SPB…

    Amazon (Palo Alto, CA)
    Description We are looking for a Software Development Engineer to help build and scale the infrastructure powering Amazon's next-generation agentic advertiser ... advertiser workflows. You will work closely with senior engineers and applied scientists to translate research prototypes into robust, high-performance production… more
    Amazon (01/10/26)
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  • Senior Customer Success Specialist - GenAI, AWS…

    Amazon (San Francisco, CA)
    …While valuable, experience as an AI practitioner (eg, data scientist, ML engineer , AI researcher) without transformation leadership experience does ... best practices documentation, implementation guides, and training materials to be applied across multiple service domains. - Track and analyze adoption metrics… more
    Amazon (12/06/25)
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