2027 Summer Intern, Perception - Evaluation

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

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

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

Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in.

The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements.

Hourly Masters Pay

$70 — $70 USD

Hourly PhD Pay

$85 — $85 USD