Machine Learning Engineer Intern - Scenario Generation
PlusAI, Inc.
- United States
- United States
About
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. Required Skills:
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) Preferred Skills:
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 an hour
Your opportunities joining PlusAI
Work, learn and grow in a highly future-oriented, innovative and dynamic field.
Wide range of opportunities for personal and professional development.
Catered free lunch, unlimited snacks and beverages.
Highly competitive salary and benefits package, including 401(k) plan.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Languages
- English
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