2027 Summer Intern, MS/PhD, Software Engineer, Simulation Evaluation ML Model
Core
Design automated semantic extraction pipelines and temporal graph modeling techniques to parse simulation logs and vehicle trajectory data for autonomous driving failure analysis.
Role type
Summer Intern, Software Engineer (Simulation Evaluation ML Model)
Builds
Multi-modal hybrid retrieval engines and interactive data exploration tools for scenario discovery and automated failure analysis agents.
Domain
Autonomous driving, simulation evaluation, knowledge graphs, information retrieval
Deliverable
production ML models | product features
Required skills
Python, C++, Linux development, deep learning frameworks (PyTorch, JAX, TensorFlow), data structures, algorithm complexity, distributed data systems
Preferred skills
Knowledge Graphs, Graph Algorithms, Graph Neural Networks (GNN), Information Retrieval, RAG, large-scale distributed data processing, temporal graphs, autonomous vehicle simulation
Technologies
PyTorch, JAX, TensorFlow, Apache Spark, Apache Beam, graph databases
Responsibilities
Design and implement automated semantic extraction pipelines for simulation logs and trajectory data; Develop temporal graph modeling techniques for multi-agent interactions; Build multi-modal hybrid retrieval engines; Create interactive data exploration tools and visualization dashboards; Benchmark retrieval precision, recall, and query latency; Collaborate cross-functionally to document system architecture.
Seniority
Intern