• Research Scientist, Data-Centric Generative AI

    Snap Inc. (Los Angeles, CA)
    …for large-scale multimodal generative models, shaping a multi-year roadmap of model improvements through data acquisition, curation, and usage. + Design, implement, ... experimentation and evaluation protocols for continuous assessment of data impact on model performance. + Collaborate with researchers, ML engineers, and infra teams… more
    Snap Inc. (12/20/25)
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  • Research Scientist (PhD)

    Meta (Menlo Park, CA)
    **Summary:** Meta is seeking a Research Scientist to join our new Large Language Model (LLM) Research team. We are looking for recognized experts in generative AI ... and NLP, with experience in areas like language model evaluation; data processing for pretraining and fine-tuning; responsible LLMs; LLM alignment; reinforcement… more
    Meta (12/20/25)
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  • Machine Learning Software Engineer, GeminiApp…

    Google (Mountain View, CA)
    …Learning Engineers are responsible for improving the Tool Use platform, and horizontal model quality for all services that would like to integrate with GeminiApp, ... Gemini and Gemini Live. This team focuses on horizontal model quality, and infrastructure for scaling to all APIs/MCPs...the things we are working on: + Improving the model 's ability to reason through complex requests, call various… more
    Google (12/20/25)
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  • Senior Director of Infrastructure and Operations

    Keurig Dr Pepper (Frisco, TX)
    …technology solutions. They will also define and implement the operating/staffing model and outcome-based service level agreements with any managed services ... customer experience + Budget planning and financial management, preferably with showback model + Deep understanding of current and emerging I&O technologies and… more
    Keurig Dr Pepper (12/20/25)
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  • AI Research Scientist, CoreML - Monetization AI

    Meta (Sunnyvale, CA)
    …technologies for all aspects of Monetization, including ranking, retrieval, model architecture, and optimization. By consistently integrating cutting-edge AI/ML ... CoreML - Monetization AI Responsibilities: 1. Develop and implement large-scale model architectures, leveraging model scaling and transfer learning techniques… more
    Meta (12/20/25)
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  • Systems Architect 2, MLOps

    University of Miami (Miami, FL)
    …tools (eg, GitHub Actions, Jenkins, Azure DevOps) for automated ML model deployment, monitoring, and retraining + Design and manage hybrid cloud/on-premises ... with clinical, research, and administrative systems + Implement frameworks for model governance, versioning, and auditability to ensure responsible and transparent… more
    University of Miami (12/20/25)
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  • Functional Family Therapist

    Spurwink Services (Randolph, ME)
    …You will receive evidenced-based training in the Functional Family Therapy (FFT) model as you work with families. Extensive research has proven the effectiveness ... You may be eligible for additional compensation by exceeding billable and model fidelity expectations. DUTIES: Provide direct clinical treatment using the FFT… more
    Spurwink Services (12/20/25)
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  • Senior District Business Manager (DBM),…

    Bristol Myers Squibb (Las Vegas, NV)
    …The Senior District Business Manager is a critical role in our unique customer model to execute the BMS aspiration to be the BioPharma that delivers the most ... and Reimbursement Managers (ARM) and other field roles in the new Commercialization model to appropriately address customer needs and ensure that BMS delivers on set… more
    Bristol Myers Squibb (12/20/25)
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  • Lead, Artificial Intelligence 1

    L3Harris (Camden, NJ)
    …and support end-to-end ML pipelines, including data ingestion, feature engineering, model training, evaluation, deployment, and monitoring. Model & Data ... checks to ensure consistent data flow into AI pipelines. + Conduct model retraining, fine-tuning versioning, and performance improvement as data and mission needs… more
    L3Harris (12/20/25)
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  • Hydrologic Data Specialist

    University of Michigan (Ann Arbor, MI)
    …extending existing modeling frameworks such as the Large Basin Runoff Model (LBRM) and data-driven Artificial Intelligence (AI) approaches, including Long Short-Term ... models. + Generate and evaluate hydrologic hindcasts and forecasts to assess model fidelity, forecast reliability, and predictive skill across subseasonal to annual… more
    University of Michigan (12/20/25)
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