Machine Learning Engineer Intern - Scenario Generation
Job in
Santa Clara, Santa Clara County, California, 95053, USA
Listed on 2026-08-02
Listing for:
Plus 2
Apprenticeship/Internship
position Listed on 2026-08-02
Job specializations:
-
Software Development
Machine Learning/ ML Engineer, Python, AI Engineer (Applied/Software), Data Engineering
Job Description & How to Apply Below
Intern – Generative Simulator
PlusAI is a Physical AI company pioneering AI‑based virtual driver software for factory‑built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus has been named by Fast Company as one of the World’s Most Innovative Companies. Partners include TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV – all working with Plus to accelerate the deployment of next‑generation autonomous trucks.
InternResponsibilities
- 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.
- 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.
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