2027 Summer Intern, Data Scaling, Embodied AI (Masters)

Job Description

Work Arrangement:

Hybrid: This internship is categorized ason-site. The selected intern is expected to report to the office 3 days a week.

Location:

Sunnyvale CA

About the Team

The Data Scaling team builds the data machine learning and infrastructure foundations that enable Embodied AI models to improve with scale. We work across data collection curation mining labeling dataset quality model inputs distributed training experiment workflows and the systems that help researchers and engineers develop evaluate and deploy models more efficiently.

Our work supports large-scale autonomous driving models and the broader Embodied AI flywheel. We combine machine learning data engineering distributed systems and software engineering to make high-quality product-aligned driving data available for perception planning trajectory generation and other autonomy capabilities.

About the Role

As an Embodied AI Data Scaling Intern you will work on a well-scoped project that improves the scale quality efficiency or reliability of data and model development for autonomous driving. You will collaborate with researchers and engineers to build data pipelines analyze large datasets improve training workflows or develop infrastructure that increases the number and quality of experiments the team can run.

Potential focus areas include:

• Data Curation and Quality: Build methods to select filter balance and validate large driving datasets aligned with product and modeling needs.
• Data Mining and Scenario Discovery: Identify valuable rare or challenging driving situations and develop tools to improve coverage of long-tail scenarios.
• Dataset and Labeling Pipelines: Improve automated labeling data transformation feature generation and dataset release workflows.
• Distributed Training and Model Scaling: Optimize the systems input pipelines and compute workflows used to train large models on large datasets.
• ML Experimentation and Flywheel Infrastructure: Build tools that help teams develop train evaluate debug and deploy models more quickly and reliably.

What Youll Do

• Develop data pipelines and tooling for large-scale multimodal autonomous driving datasets.
• Analyze data quality coverage distribution and performance impact using quantitative methods.
• Prototype and evaluate approaches for data mining curation labeling sampling or scenario discovery.
• Improve training throughput data loading experiment reproducibility or resource utilization in distributed computing environments.
• Collaborate with machine learning researchers data engineers infrastructure engineers and autonomy teams.
• Build visualizations metrics dashboards and evaluation workflows to communicate data and model behavior.
• Contribute to production-quality software through design reviews code reviews automated testing continuous integration and documentation.
• Present technical findings and document experiments results and recommendations.

Required Qualifications

• Currently enrolled in or pursuing a Masters degree in Computer Science Machine Learning Data Science Electrical Engineering or a related technical field.
• Demonstrated experience through coursework research academic projects or professional work in machine learning data engineering distributed systems or a related area.
• Strong programming skills in Python.
• Experience working with data processing databases machine learning pipelines or large-scale datasets.
• Strong analytical and problem-solving skills with the ability to use quantitative analysis to guide decisions.
• Ability to work collaboratively in a cross-functional team-oriented environment.
• Strong written verbal and presentation skills.
• Availability to work full-time 40 hours per week during the internship period.

Preferred Qualifications

• Experience with PyTorch TensorFlow JAX or another machine learning framework.
• Experience with distributed training parallel computing high-performance computing cloud infrastructure or GPU-based workflows.
• Familiarity with multimodal sensor data autonomous vehicles robotics computer vision or large-scale time-series data.
• Experience with SQL data warehouses workflow orchestration data quality systems or distributed data-processing frameworks.
• Familiarity with foundation models self-supervised learning imitation learning reinforcement learning or deep learning.
• Experience with C or another systems programming language.
• Must be graduating between December 2027 and June 2028
• Intent to return to a degree program after completion of the internship.

Compensation:

• The monthly salary range for this role is $11800 per month
• GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2027 Student Program.

What Youll Get from Us

• Paid U.S. GM holidays.
• GM Family First Vehicle Discount Program.
• Potential for growth within GM based on performance and business needs.
• Intern events and opportunities to network with company leaders and peers.
• Mentorship and hands-on experience with the data and ML foundations behind autonomy

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