Software Engineer Intern - ML Systems
ApptronikRobotics company
Austin, United StatesIntern
Google
B Capital
Mercedes-Benz
Capital Factory
PEAK6
AT&T Ventures
Data & AI
About the role
TL;DR
Software Engineering Intern to build data annotation tooling and optimize ML models for humanoid robots.
- •Apptronik is seeking a Software Engineering Intern to join their ML Ops team for a 12-week fall project.
- •This role focuses on building data annotation tooling and optimizing ML models for humanoid robots.
- •Key Responsibilities Design and implement tooling for efficient annotation and curation of robot experience data.
- •Profile, quantize, and/or distill ML models to reduce inference latency and memory footprint.
- •Build evaluation harnesses to benchmark optimized model performance against baseline metrics.
- •Integrate annotation outputs and optimized model artifacts with existing infrastructure.
- •Produce documentation for tooling adoption by other teams.
- •Requirements Proficiency in Python for ML tooling and data pipelines.
- •Comfort in a Linux environment with Git and Docker.
- •Hands-on experience with PyTorch or similar ML frameworks.
- •Coursework or project experience with robotic systems.
- •Experience moving data between annotation, training, evaluation, and storage stages.
Required skills
PythonLinuxGitDockerPyTorch
Nice-to-have skills
ONNX
Domain expertise
ai
Tech stack
PythonLinuxGitDockerPyTorchONNX