Machine Learning Engineer Intern - Scenario Generation
$19 - $65 per hourPlusAI
The intern will explore and prototype a generative simulator that can synthesize diverse, realistic driving scenarios conditioned on map, traffic, and ego-vehicle state.
Responsibilities:- Evaluate existing tools for fidelity and efficiency to determine the best baseline.
- Ingest and process internal, real-world driving logs to fine-tune the model.
- Connect the prototype to the data pipeline, allowing it to seamlessly ingest map data and output structured scenarios.
- Translate the generated scenarios into the standardized formats required by the company’s existing simulation engine.
- Develop metrics to validate the physical realism, diversity, and kinematic feasibility of the generated scenarios.
- Use generated scenarios to stress-test the vehicle's on-board modules against rare or safety-critical events.
- Collaborate closely with ML researchers, simulation engineers, and on-board teams to define what makes a scenario useful for their specific needs.
- Solid Python programming skills
- Familiarity with deep learning frameworks (PyTorch preferred)
- Basic understanding of generative models (e.g., VAEs, GANs, diffusion models)
- Experience working with datasets (loading, preprocessing)
- Prior exposure to diffusion models
- Experience with autonomous driving datasets
- Familiarity with 2D/3D coordinate systems, trajectories, and map representations
- Experience with experiment tracking and ML tooling
- Basic understanding of scenario-based testing for autonomous driving systems
$19 - $65 per hour
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