• Software Engineer

    Meta (Sacramento, CA)
    … in production systems and hone skill in making architectural decisions. 5. Employ deep knowledge in at least one area: data processing, programming languages, ... solutions. 3. Make use of graduate-level knowledge of algorithms and core computer science concepts and ability to apply knowledge to real world systems. 4. Without… more
    Meta (08/28/25)
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  • Software Engineer (Systems)

    Meta (Menlo Park, CA)
    … in production systems and hone skill in making architectural decisions. 5. Employ deep knowledge in at least one area: data processing, programming languages, ... solutions. 3. Make use of advanced knowledge of algorithms and core computer science concepts as well as demonstrated ability to apply knowledge to real world… more
    Meta (08/16/25)
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  • Program Manager, Environmental Metrics Accounting…

    Google (Mountain View, CA)
    …and optimization of our processes, including methodologies and infrastructure, integrating advanced data science and AI to optimize data collection, ... and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. _info_outline_ XApplicants in San Francisco: Qualified… more
    Google (10/01/25)
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  • Capgemini Invent, Palantir Foundry Consultant

    Capgemini (San Francisco, CA)
    …potential into scalable business impact by integrating design, code, and consulting with data science , data engineering, and product management to accelerate ... love to see a candidate with:_ . Experience in data engineering, data science , or...by its market leading capabilities in AI, cloud and data , combined with its deep industry expertise… more
    Capgemini (09/10/25)
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  • Forward Deployed Engineer, AI

    MongoDB (San Francisco, CA)
    …customers **Bonus points if you:** + Hold an advanced degree (MSc or PhD) in AI, Data Science , Machine Learning , or related fields + Experience in R&D within ... applications on cloud environments (AWS, Azure, GCP) + Demonstrate deep understanding of modern development practices, including CI/CD, test-driven...the data science , AI/ML space especially around differing… more
    MongoDB (08/19/25)
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  • Associate Director, Pipeline Analytics

    BeOne Medicines (San Carlos, CA)
    …+ Expertise in pipeline analytics, asset valuation, and R&D investment modeling. + Deep expertise in claims data analysis, RWE, and epidemiology to model ... BeOne is seeking an Associate Director, Pipeline Analytics to drive data -driven insights into pipeline molecule analysis, R&D investment optimization, and portfolio… more
    BeOne Medicines (08/15/25)
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  • Senior Analytics Engineer

    Coinbase (Sacramento, CA)
    …is expected and fully supported. The Analytics Engineering team bridges the gap between data engineering, data science , and business analytics by building ... models, dashboards, and tools. * *Cross-Functional Collaboration*: Partner with engineering, data science , product, and business teams to ensure alignment on… more
    Coinbase (08/09/25)
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  • Director, Prospective + Concurrent Risk Adjustment…

    Datavant (Sacramento, CA)
    …team of product managers and product designers and collaborate deeply with data science , clinical experts, engineering, and commercial teams to accelerate ... and post-launch optimization. + Work closely with Engineering and Data Science to build predictive models and...and instill a culture of experimentation, feedback, and continuous learning . + Support resourcing and hiring plans as product… more
    Datavant (08/08/25)
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  • Applied Scientist, Artificial General Intelligence

    Amazon (Sunnyvale, CA)
    …programming in Java, C++, Python or related language - Experience with generative deep learning models applicable to the creation of synthetic humans like ... publications at top-tier peer-reviewed conferences or journals - Experience with popular deep learning frameworks, including PyTorch Amazon is an equal… more
    Amazon (09/27/25)
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  • (USA) Staff, Software Engineer

    Walmart (Sunnyvale, CA)
    …teammates throughout the software development lifecycle to cultivate a reciprocal learning environment from development to debugging and operational excellence. The ... monitoring, and benchmarking to identify performance degradation and suggest improvements. + Deep dive into the codebase to understand the root causes of performance… more
    Walmart (08/02/25)
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