Staff Machine Learning Engineer

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Take full responsibility for the complete execution of ML systems: encompassing data pipelines, training workflows, evaluation systems, inference architecture, and deployment.

• Refine and adjust models utilizing cutting-edge techniques such as LoRA, QLoRA, SFT, DPO, and distillation.

• Design and manage scalable inference systems, ensuring a balance between latency, cost, and reliability.

• Create and sustain data systems that provide high-quality synthetic and real-world training data.

• Develop evaluation pipelines that assess performance, robustness, safety, and bias, collaborating closely with research leadership.

• Oversee production deployment, focusing on GPU optimization, memory efficiency, latency reduction, and scaling strategies.

• Work in close collaboration with application engineering teams to seamlessly integrate ML systems into backend, mobile, and desktop applications.

• Make practical trade-offs and implement enhancements swiftly, gaining insights from real-world usage.

• Operate under actual production constraints: including latency, cost, reliability, and safety.

⛳️ Requirements

• You have developed or released genuine ML systems that are actively used by people, rather than just prototypes.

• You are adept at working with large models and possess an understanding of their potential failure modes.

• You produce robust, production-quality code and prioritize system reliability.

• You are self-motivated, practical, and take full responsibility for results.

• You communicate effectively and work well within small, high-trust teams.

🏝️ Benefits

• Flexible working hours

• Professional development opportunities