2026 Summer Intern – MS/PhD – Behaviors
Motional(1 month ago)
About this role
A Behaviors Research Intern at Motional will join the Behaviors team to advance machine learning research for autonomous driving prediction and planning. The position emphasizes scientific rigor and innovation and supports the translation of research into real-world vehicle deployments and publications. This hybrid internship provides exposure to large-scale driving data and cross-team collaboration within a company scaling autonomous vehicle technology.
Required Skills
- Machine Learning
- Motion Prediction
- Planning
- Agent Simulation
- Scenario Generation
- Vision-Language
- Dataset Analysis
- Python
- PyTorch
- Collaboration
+2 more
Qualifications
- Enrolled in a Masters or PhD in Computer Science, Electrical Engineering, Robotics or similar
About Motional
motional.comNew Relic is a cloud-based observability and telemetry platform that helps engineering teams monitor, debug, and optimize software and infrastructure performance. It offers application performance monitoring (APM), distributed tracing, logs, metrics, synthetic and real-user monitoring, dashboards, and alerting — all accessible through a unified data model and query language. Built for both cloud-native and legacy environments, New Relic integrates with many third-party services and DevOps tools to provide end-to-end visibility, rapid root-cause analysis, and business-focused performance insights.
Apply instantly with AI
Let ApplyBlast auto-apply to jobs like this for you. Save hours on applications and land your dream job faster.
More jobs at Motional
Similar Jobs
Machine Learning Engineer, Foundation Model
DiDi Labs(4 days ago)
Senior Machine Learning Engineer - ML Agents and Planning
Zoox(1 month ago)
2026 Intern, PhD Research Scientist
Waabi(1 month ago)
Machine Learning Engineer, Foundation Model
DiDi Labs(20 days ago)
Motion Planning Engineer (PhD, Intern)
DiDi Labs(19 days ago)
Software Engineer – Motion & Behavioral Planning (post end 12/15)
DiDi Labs(1 month ago)