2026 Summer Intern, PhD, Software Engineer, Predictive Planner ML/DL
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El puesto
Collaborate with researchers and engineers to develop cutting-edge large models for autonomous vehicle planning.
Translate research breakthroughs into production-ready components for a planning system used in real-world deployments.
Focus on modeling enhancements through feature engineering, data shaping, model design, and tuning.
Work with Python and DL frameworks (PyTorch, JAX, TensorFlow) and generative models to push ML performance.
Contribute to milestones and, where possible, publications; collaborate with the team and share findings.
Requirements: PhD candidate in CS/ML/Robotics; experience with deep learning and generative models; strong Python skills; familiarity with DL frameworks; preferred publications and autonomous driving domain experience.
Translate research breakthroughs into production-ready components for a planning system used in real-world deployments.
Focus on modeling enhancements through feature engineering, data shaping, model design, and tuning.
Work with Python and DL frameworks (PyTorch, JAX, TensorFlow) and generative models to push ML performance.
Contribute to milestones and, where possible, publications; collaborate with the team and share findings.
Requirements: PhD candidate in CS/ML/Robotics; experience with deep learning and generative models; strong Python skills; familiarity with DL frameworks; preferred publications and autonomous driving domain experience.
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