About this role
This position suits a pragmatic engineer with a research mindset who wants to build production machine learning systems for physical artificial intelligence in the United States. Working at tracelabs, this full-time role bridges machine learning engineering and research to solve data infrastructure challenges.
Role Overview
Tracelabs seeks a Machine Learning Engineer, Applied to join the team in the United States. The position focuses on developing and deploying models across multiple modalities like video, sensor signals, and language to support physical AI systems.
Key Responsibilities
Requirements
Skills and Tools
Salary and Benefits
About the Company
Tracelabs develops data infrastructure designed for physical artificial intelligence. The organization focuses on capturing human physical interactions at scale and building machine learning systems that add value to real-world training data for robotics and embodied systems.
How to Apply
Candidates should apply directly on the official company careers page.
Skills and tech stack
Questions candidates ask
What is the location of this job?
The position is located in the United States.
What qualifications or degree are required?
A Bachelor of Science degree in Computer Science, Electrical Engineering, Mathematics, Aerospace, or a related field is required, though equivalent practical experience is also accepted.
How much experience is necessary?
The role requires two or more years of hands-on industry experience training deep learning models on real-world data, though earlier career professionals with a strong track record are also considered.
What programming languages and frameworks are needed?
Strong proficiency in Python is required, along with experience using modern deep learning frameworks such as PyTorch or JAX.
What are the salary and equity details?
The salary ranges from $185K to $245K, accompanied by 0.1% to 1% equity.