Note: The job is a remote job and is open to candidates in USA. Protingent is an Award-Winning provider of top-tier Engineering and IT talent, trusted by companies at the forefront of innovation. They are seeking a Staff Machine Learning Engineer to own the execution layer of their client’s intelligence, translating research direction into reliable, scalable, production-grade ML systems.
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
Skills
- 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
Company Overview
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