Third Dimension

Third Dimension

Research Engineer - Data Infrastructure/ML

San Francisco, USA

Sponsorship not specifiedDetected 278 days ago
AWSGCPAzureCloud PlatformsKubernetesMachine LearningDeep LearningPyTorchSparkData EngineeringComputer VisionRoboticsSensorsResearch

About the role

  • Monitor and improve data quality, lineage, and performance across the ML lifecycle.
  • Nice to Haves Exposure to simulation, robotics, or autonomy testing pipelines.

Responsibilities

  • Third Dimension is building SuperSim, a new kind of simulator which can enable fast, cost-effective and photorealistic 3D simulations directly from source data using AI.
  • You'll design scalable pipelines for 3D, video, image, and other sensor data (e.g., LIDAR) and develop the ML workflows that power SuperSim.
  • Your work will enable our researchers to train, validate, and deploy models faster - ultimately shaping how robots and autonomous systems are tested in the real world.
  • Build and maintain high-performance data pipelines to ingest, transform, and version multi-modal datasets (3D, video, sensor).
  • Design and optimize distributed training and data-processing infrastructure - across cloud and containerized environments (Kubernetes, Ray, Dask, EKS, Buildkite).
  • Collaborate with researchers to productionize ML models (PyTorch), from prototype to deployment.
  • Develop tools and APIs that make data discoverable, reusable, and reproducible.

Requirements

  • Proficiency in distributed data-processing technologies (e.g., Ray, Apache Spark, Flyte, Dask).
  • Hands-on experience with cloud infrastructure (AWS, GCP, or Azure), Kubernetes, and distributed training frameworks (Ray, RLLib, PyTorch DDP, or Horovod).
  • Experience with frontend / UI work.
  • Knowledge of dataset versioning, experiment tracking, and reproducibility tools (DVC, MLflow, etc.).
  • Familiarity with 3D or robotics data formats (point clouds, meshes, radiance fields, LIDAR).

Nice to have

  • & Skills Strong programming background in Python.

Benefits

  • Benefits Competitive salary & stock options - Everyone is an owner and shares in our success.
  • Pension / retirement plan - Company contributions to support your long-term financial wellbeing.
  • Health & wellness - Comprehensive health, dental, and vision insurance (with regional equivalents for employees outside the UK).
  • Flexible time off - Generous holiday allowance plus local public holidays.
  • Workspace support - Latest hardware and home office equipment to set you up for success.
  • Learning & development - Budget and time for conferences, courses, and workshops to keep you at the frontier of ML and 3D AI.

Company info

  • We are working with customers across multiple industries, including autonomous vehicles, drones, robots in industrial and manufacturing environments, and more.
  • About the Role We're looking for a Data Infrastructure / ML Engineer to build the backbone of our 3D AI systems.

This listing is sourced directly from Third Dimension's careers page and normalized into a canonical job model.