# Machine Learning Engineer, Applied at Trace

- Company: Trace
- What the company does: Trace is where you plan and manage your most important investment – your people. Get started free with instant workforce analytics and headcount planning. Backed by Antler.
- Company website: https://www.our-trace.com/
- Type: Startups (AI role)
- Level: Mid level
- Location: United States
- Work setup: Remote
- Pay: $185K to $245K base salary per year (USD)
- Posted: 2026-10-07
- Apply by: 2026-11-23
- Apply: https://jobs.ashbyhq.com/tracelabs/84f1786a-1f06-4798-892c-682a6ab07ba5?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/trace-machine-learning-engineer-applied/

## About the role

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. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- A BS in Computer Science, Electrical Engineering, Mathematics, Aerospace, or a related field, or equivalent practical experience. An MS is a plus, not a must
- 2+ years of industry of hands-on experience training deep learning models on real-world data, at a company, startup, or national lab. Earlier in your career is okay if your track record shows it
- Strong proficiency in Python and a modern deep learning framework such as PyTorch or JAX
- A solid grounding in ML fundamentals, including architectures, optimization, loss design, and evaluation
- Comfort with messy, real-world data such as video, time series, or sensor streams
- An extraordinary bias toward shipping. You go from idea to working model fast, and you make good calls under uncertainty

Tags: Engineering

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/trace-machine-learning-engineer-applied/