Senior Machine Learning Engineer
Job in
Bellevue, King County, Washington, 98009, USA
Listed on 2026-07-22
Listing for:
Protingent
Full Time
position Listed on 2026-07-22
Job specializations:
-
Software Development
Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Senior Machine Learning Engineer
Protingent Staffing has an exciting direct hire Senior Machine Learning Engineer with our client that is fully remote. As a Senior Member of Technical Staff, Machine Learning, you are an independent owner of critical ML subsystems in production. You take ambiguous problems, design practical solutions, and ship systems that operate reliably s is a hands‑on, high‑impact role focused on depth.
Job Responsibilities- Build core ML systems that power a proactive, long‑horizon AI product.
- Own work end‑to‑end: data preparation, training, evaluation, inference, and iteration.
- Turn research ideas into working systems that run reliably in production.
- Debug model failures and system issues using real production signals.
- Iterate quickly: ship, measure outcomes, refine, and repeat.
- Collaborate closely with research, product, and engineering to deliver real user impact.
- Mentor and review work from other ML engineers through example and technical judgment.
- Work under real production constraints: latency, cost, reliability, and safety.
- ML models and systems in production consistently meet accuracy, latency, reliability, and efficiency targets.
- Complex production issues are monitored, debugged, and resolved with minimal disruption.
- Training, inference, and data pipelines are robust, scalable, and maintainable over time.
- Drive measurable improvements in ML systems based on real‑world signals and user feedback.
- Provide mentorship and technical guidance to peers, raising the overall ML engineering standard.
- Collaborate cross‑functionally to ensure ML features integrate seamlessly into products and meet business goals.
- Built and shipped ML systems used by real users.
- Understand how modern ML models behave — and misbehave — in production.
- Write strong, production‑quality code and think in systems, not scripts.
- Take ownership, work independently, and push work across the finish line.
- Learn fast, communicate clearly, and improve through iteration.
Python, PyTorch / JAX, GPU‑based training and inference systems.
Job Details- Job Type: Direct Hire
- Pay Range:
Market Rate - Location:
Fully Remote
Position Requirements
10+ Years
work experience
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