Staff Machine Learning Engineer

Job Summary

Required Qualifications

• •Python
• •PyTorch / JAX
• •GPU-based training and inference system
• •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
• •The ability to bring structure, exercise judgment, and execute independently

Desired Qualifications

• •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
• •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