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Senior Machine Learning Engineer
Posted: 07/17/2026
Employment Type:
Direct Hire
Job Number: 32114
Job Location: Remote
Industry: SOFT - Software Companies
Job Description
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:
Job Responsibilities:
Job Qualifications:
Job Details:
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.
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.
- 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.