2027 Summer Intern, Data Scaling, Embodied AI
Core
Build data pipelines, curate large-scale autonomous driving datasets, and develop infrastructure to scale ML model training and experimentation for Embodied AI.
Role type
Summer Intern, Data Engineering & ML Infrastructure
Builds
Data pipelines, labeling workflows, distributed training systems, and experiment tooling for autonomous driving models
Domain
Autonomous driving, Embodied AI, Data Engineering
Deliverable
production ML models
Required skills
Python, data processing, machine learning pipelines, distributed systems, quantitative analysis, SQL
Preferred skills
PyTorch, TensorFlow, JAX, distributed training, GPU workflows, multimodal sensor data, C++, foundation models
Technologies
Python, PyTorch, TensorFlow, JAX, SQL, cloud infrastructure, GPU
Responsibilities
Develop data pipelines for multimodal autonomous driving datasets; Analyze data quality, coverage, and distribution; Prototype data mining and scenario discovery tools; Optimize training throughput and resource utilization in distributed environments; Build visualizations and evaluation workflows; Contribute to production-quality software via code reviews and testing
Seniority
Intern