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Technical Lead, Machine Learning

Protingent

-, WA(remote)

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JOB DETAILS
SKILLS
Aerospace and Defense, Artificial Intelligence (AI), Clean Technologies, Communication Skills, Correctional Health, Customer Support/Service, Data Management, Debugging Skills, Desktop PC, GPU (Graphics Processing Unit), Information Technology & Information Systems, JAX (Java API for XML), Leadership, Machine Learning, Medical Equipment, Memory Hardware, Mobile Devices, Product Demonstration, Python Programming/Scripting Language, Software Engineering, System Architecture, System Integration (SI), System Operations, Systems Engineering, Systems Maintenance, Systems Scalability, Technical Leadership, User Interface/Experience (UI/UX)
LOCATION
-, WA
POSTED
4 days ago
Job Title: Technical Lead, Machine Learning

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

Job Description:
  • As Technical Lead, Machine Learning, you own the execution layer of A1’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.
Must Have:
  • 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.

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