PlusAI
Physical AI
MachineLearningEngineerIntern-ScenarioGeneration
Neural analysis suggests this role is
optimal for Entry candidates.
“Machine Learning Engineer Intern - Scenario Generation at PlusAI. Skills: Python, deep learning, generative models. Evaluate existing tools. Ingest and process logs”
Industry & Context.
What They're Looking For.
Must Have
Python programming skills, deep learning frameworks, generative models, datasets (loading, preprocessing)
Nice to Have
diffusion models, autonomous driving datasets, 2D/3D coordinate systems, trajectories, map representations, experiment tracking, ML tooling, scenario-based testing
What You'll Do.
Evaluate existing tools
Ingest and process logs
Connect prototype to pipeline
Translate generated scenarios
Stress-test vehicle modules
Define scenario usefulness
How You'll Work.
Team & Collaboration
Collaborate with ML researchers; Collaborate with simulation engineers; Collaborate with on-board teams
Full Job Description
## Description 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 was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams. 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, t
Applying for this Machine Learning Engineer Intern - Scenario Generation role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Lever
- Lever uses a streamlined one-page form — apply in under 5 minutes.
- LinkedIn import works well; review parsed data before submitting.
- The cover letter field is optional but visible to reviewers — use it to differentiate.
- Referral codes from employees can significantly boost visibility of your application.
ANONYMOUS · UNFILTERED
What do employees actually say about PlusAI?
Real rants from real employees. Read before you apply.