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Research Engineer (Data Infra/ML)
Research Engineer (Data Infra/ML)Stealth • San Francisco, CA, United States
Research Engineer (Data Infra / ML)

Research Engineer (Data Infra / ML)

Stealth • San Francisco, CA, United States
7 days ago
Job type
  • Full-time
Job description

Research Engineer (Data Infra / ML)

Bay Area (Hybrid)

Can you build & optimize distributed ML pipelines with Ray or Spark?

Do you love speeding up cloud infra (Kubernetes, Docker, CI / CD)?

Excited to build the data backbone for large-scale ML training?

We’re a tier 1 VC-backed start-up, developing hyper-realistic 3D simulations using AI. Our customers include leading names in industries such as autonomous vehicles, drones and robotics.

Role

You’ll be hands-on improving CI / CD pipelines, speeding up Docker builds, and scaling scene processing on Ray. You’ll also :

  • Build high-performance data pipelines for multimodal datasets (3D, video, sensor).
  • Optimize distributed training and processing across Spark, Databricks, and Kubernetes.
  • Work with researchers to productionize PyTorch models and streamline ML workflows.
  • Develop tools that make data discoverable, reusable, and reliable throughout the ML lifecycle.

You

  • Strong Python skills and experience with distributed systems (Ray, Spark, Flyte, Dask).
  • Hands-on with cloud, Kubernetes, and distributed training (Ray, PyTorch DDP, Horovod).
  • Familiar with dataset versioning and experiment tracking (DVC, MLflow).
  • Bonus Points

  • Experience in simulation, robotics, or autonomy pipelines.
  • Background in deep learning (PyTorch) and 3D / sensor data (LIDAR, meshes, radiance fields).
  • Open-source contributions or frontend / UI experience.
  • #J-18808-Ljbffr

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