• Research Data Scientist

    Stanford University (Stanford, CA)
    …and research groups to design, implement, and refine GPU-accelerated data processing pipelines . They will also contribute to scientific codes using machine learning, ... (PIs) and research groups to architect and optimize GPU-accelerated pipelines . + Develop innovative computational methodologies + Co-author resulting research… more
    Stanford University (08/07/25)
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  • Principal AI Solutions Architect

    Rubrik (Palo Alto, CA)
    …+ Drive the standardization of our LLM onboarding processes, RAG pipelines , and application development to ensure scalable, secure, and consistent implementations. ... industry. + Deep experience with MLOps, including building and managing CI/CD pipelines for AI model deployment. + Knowledge of the broader enterprise software… more
    Rubrik (08/07/25)
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  • Machine Learning Research Engineer (1 Year Fixed…

    Stanford University (Stanford, CA)
    …data * Develop and maintain scalable, efficient, and reproducible machine-learning pipelines * Conduct large-scale ML experiments, using the latest MLOps platforms ... (LoRA, PEFT, AWQ, GPTQ, or similar) Familiarity with modern big data tools and pipelines such as Apache Spark, Arrow, Airflow, Delta Lake, or similar Experience with… more
    Stanford University (08/07/25)
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  • Deal Structurer-Power and Gas

    Shell (San Diego, CA)
    …the Gulf of Mexico to the Pennsylvania Chemicals complex and our miles of pipelines throughout the US. We reach our customers through our 13,000 branded retail ... 96,000 people across more than 70 countries. Whether they work on our platforms and pipelines , or in our offices and research labs, people are key to our success.… more
    Shell (08/07/25)
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  • Manager, Software Engineering

    PennyMac (Westlake Village, CA)
    …for designing, building, and maintaining robust and scalable data pipelines as well as proprietary FinOps applications/infrastructure that deliver high-quality ... ETL tools and orchestration frameworks. + Create and maintain the data pipelines essential for analyzing financial performance, optimizing cloud costs, and tracking… more
    PennyMac (08/07/25)
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  • Senior Full Stack Engineer III

    City National Bank (Los Angeles, CA)
    …dependency to simplify the architecture. * Implement, maintain and update CI/CD pipelines on a cloud environment. * Collaborate with business partners, architects ... Azure Redis, Cosmos DB, Blob Storage, KeyVault), SQL, Azure Repos, CI/CD pipelines . * Hands-on experience with messaging platforms (Kafka, Solace, TIBCO, MQ, etc.)… more
    City National Bank (08/07/25)
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  • Senior Director, Cloud Solutions Architect

    Acxiom (Sacramento, CA)
    …(on-prem Hadoop, EDWs, etc.). + Define end-to-end architecture for ETL/ELT pipelines , data lakes, lakehouses, and real-time streaming platforms using Delta Lake ... Solid understanding of modern data architectures (data lakehouse, streaming-first pipelines , real-time analytics). + Experience integrating Databricks with AWS/GCP/Azure,… more
    Acxiom (08/07/25)
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  • Director, Software Engineering (AI / ML)

    PennyMac (Westlake Village, CA)
    …infrastructure for AI/ML workloads. + Design and implement robust data pipelines for efficient data ingestion, preprocessing, and feature engineering. + Provide ... Vertex AI and other relevant GCP services. + Experience building out modern CI/CD pipelines using AWS CDK and GitLab CI. + Experience developing and reviewing code… more
    PennyMac (08/07/25)
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  • Senior Staff Engineer

    MongoDB (San Francisco, CA)
    …+ Contribute to platform features like model versioning, safe deployment pipelines , latency-aware routing, and model health monitoring + Collaborate with peers ... on inference-optimized architectures + Background in hybrid retrieval, prompt-based pipelines , or retrieval-augmented generation (RAG) + Contributions to relevant… more
    MongoDB (08/03/25)
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  • Data Engineer

    Meta (Menlo Park, CA)
    …and sourcing from structured and unstructured data sources. 8. Optimize pipelines , dashboards, frameworks, and systems to facilitate easier development of data ... practices to determine appropriate action. 12. Building custom dashboards and data pipelines tailored for encryption use-cases. 13. Designing Data Models and logging… more
    Meta (08/03/25)
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