Posted 2 months ago

Machine Learning Engineer Intern - Planning

Santa ClaraOn-siteInternship

AI Summary

The intern contributes to PlusAI’s autonomous truck planning stack by expanding a Scene Transformer model to generate diverse, feasible multi-trajectory predictions for ambiguous driving scenarios and exploring long-horizon training objectives.

About this role

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.

We’re seeking an enthusiastic and driven Simulation/ML Engineer Intern to join our team. In this role, you’ll help build expand the scene transformer model to provide multiple trajectories for ego in ambiguous cases, and explore longer horizon predictions using recursive and multi-step losses.

Area of work:
Deep Learning Models, Planning, Prediction

Responsibilities:

Multimodal Architecture Design: Modify and expand an existing Scene Transformer framework to generate a diverse set of ego-vehicle trajectories for ambiguous scenarios.

Loss Function Engineering: Formulate and experiment with recursive, autoregressive, and multi-step losses to stabilize long-horizon trajectory rollouts.

Diversity & Feasibility Optimization: Mitigate mode collapse to ensure the generated paths are distinctly varied yet kinematically feasible.

Evaluation & Benchmarking: Design metrics to evaluate trajectory diversity, safety, and long-horizon accuracy against real-world driving logs.

Required Skills:

Expertise in trajectory prediction, behavior forecasting, and multi-agent motion modeling

Experience training large-scale models with self-supervision, contrastive learning, representation learning, or scene-level modeling

Practical experience with PyTorch, PyTorch Lightning or JAX.

Experience with uncertainty estimation (aleatoric, epistemic), multi-modal prediction, and probabilistic modeling

Understanding of AV stack components: localization, perception, tracking, prediction, and planning.

Strong debugging, experiment design, data analysis, and failure-mode investigation skills.

Skills

Aleatoric UncertaintyBehavior ForecastingContrastive LearningEpistemic UncertaintyJAXMulti-agent Motion ModelingMulti-modal PredictionProbabilistic ModelingPyTorchPyTorch LightningRepresentation LearningScene-level ModelingSelf-supervised LearningTrajectory PredictionUncertainty Estimation

Machine Learning Engineer Intern - Planning

About this role

Responsibilities:

Required Skills:

Skills

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