Machine Learning Engineer, Applied

This role sits between ML engineering and research. You’ll bring strong ML engineering skills, a research mindset, and deep learning fundamentals to the hardest problems we see coming at Trace, then ship the answers into production.

You’ll work closely with our computer vision team, but this role is broader and more product-focused. You won’t live on one type of data. One month you might be working with sensor signals, the next with hand tracking video, the next with language. What matters is getting a high-quality model working fast and putting it to use.

We care much more about what you’ve built and shipped than where you’ve published. If you’re earlier in your career but have a clear track record of moving fast and owning hard problems, we want to talk.

• Own models end to end: data, training, evaluation, and deployment into our annotation pipeline.
• Build training pipelines for large, multimodal datasets, including video, sensor streams, and language.