2026 Summer Intern, Machine Learning Engineer, Trajectory Generation (PhD)
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Job Location:
Sunnyvale, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
12 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Description
To helpfacilitateadministration of relocation benefits if you are selected please apply using the permanent address you would move from.
Work Arrangement:
Hybrid: This internship is categorized ashybrid. The selected intern is expected to report to the office up to three times per week or asdeterminedby the team.
Locations:
San Francisco California
Sunnyvale California
Mountain View California
About the Team:
Thetrajectory generation team (TGX)is responsible forturning scene understanding into wholistic AV behavior.The team must balance multiple competingobjectives. Trajectories need to be comfortable for passengers (minimizing jerk and acceleration) obey traffic laws respect vehicle dynamics constraints (steering limits acceleration capabilities) avoid obstacles and respond in real-time to changing road conditions.The TGX team usesstate-of-the-artML RL and optimization techniques to improve the GM driving product and support theobjectivesabove.
About The Role:
Asan intern on the trajectory generation team youwouldwork on well-scoped research or engineering projects that contribute to the teams ML-driven planning stack. This might involve implementing and benchmarking new neural network architectures for behavior prediction improving data pipelines for training trajectory models or conducting ablation studies on different learning approaches. The intern would collaborate closely with senior engineers and researchersparticipatingin code reviews team meetings and design discussions while gaining hands-on experience with production autonomous driving systems.Theydwork with real-world driving data simulation environments and potentially see their contributions deployed to test vehicles.
The role offers a unique opportunity to bridgecutting-edgeML research with safety-critical robotics applications. An intern would develop skills in deep learning frameworks (PyTorch) work with large-scale distributed training systems and learn how tovalidateand verify learned models for autonomous driving. Beyond technical skillstheydgain insight into the challenges of building reliable AI systems for the real worldhandling edge cases ensuring safety guarantees and balancing model performance with computational constraints. The experience provides exposure to how ML teamsoperatewithin a complex multi-disciplinary engineering organization building toward full autonomy.
WhatYoullDo:
Implement and experiment with neural network architectures for trajectory prediction behavior planning or mission planning tasks
Build data pipelines and visualization tools to process analyze and evaluate large-scale driving datasets
Train and benchmark ML models using distributed compute infrastructure running ablation studies tooptimizeperformance
Validate models in simulation environments and analyze failure cases across diverse driving scenarios
Participate in code reviews team meetings and technical discussions while documenting experiments and results
Contribute to production codebases by prototypingnew approachesfor handling challenging driving situations like merges or complex intersections
Required Qualification:
Currently enrolled in aPhD program in Computer Science Machine Learning Robotics or a related STEM field.
Hands-on experience with one or more machine learning frameworks (e.g.PyTorch TensorFlow JAX orKeras).
Availability to work full-time (40 hoursper week) during the internship period.
Demonstrated coursework research. or projects in AI/ML.
Strong programming skills in Python.
Preferred Qualifications:
Exposure todeep learning architectures such as Transformers CNNs or Diffusion Models.
Exposure todeep reinforcement learning algorithms such as PPO DQL and distributionaladaptations.
Experience with robotics through projects or research.
Familiarity with multimodal learning or working withcomplex temporal data.
Interest in contributing to publications open-source projects or patents.
Familiarity with systems programming languages (e.g. C or Java) is a plus.
Intent to return todegree-programafter the completion of the internship.
Graduating between December 2026 and June 2027.
Compensation:
The monthly salary for this role is $13100 per month
GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program.
Whatyoullget from us (Benefits):
Paid US GM Holidays
GM Family First Vehicle Discount Program
Result-based potential for growth within GM
Intern events to network with company leaders and peers
About GM
Our vision is a world with Zero Crashes Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day individually and collectively to drive meaningful change through our words our deeds and our culture. Every day we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one were looking out for your well-beingat work and at homeso you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex race color national origin citizenship status religion age disability pregnancy or maternity status sexual orientation gender identity status as a veteran or protected veteran or any other similarly protected status in accordance with federal state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required where applicable to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more visit How we Hire.
Accommodations
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Required Experience:
Intern
Key Skills
- Microsoft Office
- Public Relations
- Google Docs
- Data Collection
- MailChimp
- Microsoft Word
- Dermal Fillers
- Microsoft Powerpoint
- Research Experience
- Microsoft Excel
- Adobe Photoshop
- Writing Skills
About Company
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