Trace Labs
Machine Learning Engineer, Applied
$185K–$245K
United States +2 · Remote · Full-time · Posted Oct 7, 2026
- Location
- United States
Remote
NYC - Experience
- 2+ years of industry hands-on experience; earlier-career candidates may qualify with a clear track record.
- Education
- BS in Computer Science, Electrical Engineering, Mathematics, Aerospace, or a related field, or equivalent practical experience; an MS is a plus.
About the job
Develop and ship machine learning models and training systems that turn large, multimodal real-world datasets into useful capabilities for Trace’s physical AI data infrastructure.
What you'll do
- Own models end to end, from data and training through evaluation and deployment into the annotation pipeline.
- Build training pipelines for large datasets including video, sensor streams, and language.
- Partner with engineering and computer vision teams to deploy models and improve them in production.
What they ask for
- 2+ years of industry hands-on experience training deep learning models on real-world data; earlier-career candidates may qualify with a clear track record.
- Strong proficiency in Python and a modern deep learning framework such as PyTorch or JAX.
- Grounding in ML fundamentals, including architectures, optimization, loss design, and evaluation.
- BS in a listed or related field, or equivalent practical experience.
Nice to have
- MS degree.
Pay
$185K – $245K (base salary)
Tools
Python, PyTorch, JAX
AI focus
Build and deploy deep learning models and training pipelines for physical AI using real-world multimodal data, including video, sensor streams, and language.
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