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Staff Machine Learning Engineer
Posted: 07/17/2026
Employment Type:
Direct Hire
Job Number: 32116
Job Location: Remote
Industry: SOFT - Software Companies
Job Description
Job Title: Staff Machine Learning Engineer
Position Description: Protingent Staffing has an exciting direct hire Staff 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 Staff Machine Learning Engineer with our client that is fully remote.
Job Description:
- As Technical Lead, Machine Learning, you own the execution layer of our client’s intelligence.
- You translate research direction into reliable, scalable, production-grade ML systems.
- This role sits at the intersection of research, infrastructure, and product.
- You are responsible for making models trainable, deployable, observable, and performant under real-world constraints.
Job Responsibilities:
- Own end-to-end ML system execution: data pipelines, training workflows, evaluation systems, inference architecture, and deployment.
- Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation.
- Architect and operate scalable inference systems, balancing latency, cost, and reliability.
- Design and maintain data systems for high-quality synthetic and real-world training data.
- Implement evaluation pipelines covering performance, robustness, safety, and bias, in partnership with research leadership.
- Own production deployment, including GPU optimization, memory efficiency, latency reduction, and scaling policies.
- Collaborate closely with application engineering to integrate ML systems cleanly into backend, mobile, and desktop products.
- Make pragmatic trade-offs and ship improvements quickly, learning from real usage.
- Work under real production constraints: latency, cost, reliability, and safety
- Research and models reliably translate into production-ready solutions with clear performance and quality targets.
- ML pipelines, training loops, and inference systems are stable, efficient, and maintainable.
- Production issues are detected, debugged, and resolved quickly, minimizing user impact.
- Team members are supported, aligned, and able to deliver high-impact ML work with minimal friction.
- Iterations on models and systems are measurable, safe, and improve user experience over time.
Job Qualifications:
- You have built or shipped real ML systems used by people, not just demos.
- You are comfortable working with large models and understanding their failure modes.
- You write strong, production-grade code and care about system correctness.
- You are self-directed, pragmatic, and take full ownership of outcomes.
- You communicate clearly and collaborate well in small, high-trust teams.
- Python
- PyTorch / JAX
- GPU-based training and inference system.
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.