2027 Summer Intern, MS/PhD, Perception, Evaluation

You will:

• Improve signal quality in large scale perception evaluation workflows using generative AI (LLM/VLM)
• Expand the capabilities of discovery evaluation system to cover a broader range of perception signals
• Contribute to design and development of frameworks and methods for evaluating multi-task perception models
• Collaborate with ML and infra engineers to integrate new signals to end-to-end model launch evaluation
• Evaluate the impact of improvements on evaluation quality, focusing on precision, recall, and reliability

You have:

• Proficiency with coding in Python or C++ and navigating large codebases
• Experience with building and/or evaluating machine learning models
• Experience with data analysis and statistical evaluation
• Enrolled in a Masters or PhD program in Computer Science, Robotics, or a similar technical field of study

We prefer:

• Multi-year C++ experience with contributions to large code bases or open source projects
• Familiarity with perception models, in particular with object generation and semantics tasks
• Experience in utilizing AI-powered workflows for data analysis or model evaluation
• Experience in applying machine learning concepts and evaluation methodologies
• Proven experience in building data and evaluation pipelines and processing large-scale datasets