5 graduate machine learning engineer jobs at 4 companies in Penngrove, CA
3mo
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Staff Machine Learning Platform Engineer
Kitchener-Waterloo or Toronto or San Francisco
$216k-$297k/yr HybridFull Time
8+ YOE8+ years in production ML or data platforms; graduate degree in CS/Engineering/Statistics or related field; strong Databricks/Spark/Delta Lake/MLflow; Python/SQL; cloud and IaC; MLOps.
Databricks, Spark, Delta Lake, MLflow, Terraform, GitHub Actions, Kubernetes, AWS, S3, Python, SQL, Kotlin, Airflow, Snowflake, Unity Catalog
1mo
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Senior Staff Machine Learning Platform Engineer
San Francisco or Waterloo or Toronto
$295k-$406k/yr HybridFull Time
10+ YOE10+ years building large-scale ML/data platforms; expertise with Databricks lakehouse, Unity Catalog, Spark, MLflow; strong distributed systems, cloud, and ML infrastructure experience; graduate-level degree preferred.
Python, SQL, Kotlin, PyTorch, PySpark, MLFlow, Spark, Kafka, Databricks, Snowflake, Fivetran, Iceberg, Unity Catalog, Datadog, Airflow, Cockroach DB, MySQL, AWS, S3, SageMaker, Kubernetes, Docker, GitHub Actions, Terraform, Claude Sonnet 4.5, ChatGPT 5.2
6d
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Senior Staff Machine Learning Architect, Personalization
Oakland or California
$200k-$230k/yr HybridFull Time
10+ YOE10+ years in data science, machine learning engineering, or software engineering, including 5+ years in recommender systems; advanced recommender architecture expertise and a quantitative graduate degree or equivalent experience.
OpenSearch
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Member of Technical Staff - Machine Learning Capabilities, New Graduates
San Francisco or Toronto or Seattle
$165k-$200k/yr OnsiteFull Time
0+ YOENew graduate ML engineers with strong ML fundamentals, Python proficiency, systems programming, and interest in RL environment design; familiarity with PyTorch or JAX and cloud platforms a plus.
Python, PyTorch, JAX, CUDA, Triton, Pallas, AWS, GCP, Azure
1w
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Sr. Manager, Machine Learning Engineering-Applied Research
San Francisco or United States
$228k-$469k/yr HybridFull Time
7+ YOE3+ MgmtRequires 7+ years of post-graduate academic and industry ML experience, 3+ years of people management, MS/PhD in a related field, strong recommendation systems expertise, publications, and communication skills.
Machine Learning, Large Language Models (LLM), Generative AI, KDD, RecSys, NeurIPS, CVPR