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Senior Machine Learning Engineer

Protingent

-, WA(remote)

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JOB DETAILS
SKILLS
Aerospace and Defense, Artificial Intelligence (AI), Clean Technologies, Communication Skills, Cross-Functional, Customer Support/Service, Customer/Client Research, Data Management, Debugging Skills, GPU (Graphics Processing Unit), Information Technology & Information Systems, JAX (Java API for XML), Machine Learning, Medical Equipment, Mentoring, Process Improvement, Product Engineering, Production Control, Production Systems, Python Programming/Scripting Language, Scripting (Scripting Languages), Technical Leadership
LOCATION
-, WA
POSTED
8 days ago
Job Title: Senior Machine Learning Engineer

Position Description: Protingent Staffing has an exciting direct hire Senior Machine Learning Engineer with our client that is fully remote.

Job Description:
  • 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 at scale.
  • This 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.
  • Drives measurable improvements in ML systems based on real-world signals and user feedback.
  • Provides mentorship and technical guidance to peers, raising the overall ML engineering standard.
  • Collaborates cross-functionally to ensure ML features integrate seamlessly into products and meet business goals.

Job Qualifications:
  • You have built and shipped ML systems used by real users.
  • You understand how modern ML models behave — and misbehave — in production.
  • You write strong, production-quality code and think in systems, not scripts.
  • You take ownership, work independently, and push work across the finish line.
  • You learn fast, communicate clearly, and improve through iteration.
Must Have:
  • Python
  • PyTorch / JAX
  • GPU-based training and inference systems

Job Details:
  • Job Type: Direct Hire
  • Pay Range: Market Rate
  • Location: Fully Remote.

About Protingent: Protingent is an Award-Winning provider of top-tier Engineering and IT talent, trusted by companies at the forefront of innovation — from Software and Aerospace to AI, Clean Tech, Medical Devices, and Connected Technologies. We’re passionate about making a positive impact by connecting exceptional talent with meaningful opportunities and helping our clients build the future.

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