Machine Learning Engineering Manager

The role

You will lead the Production Inference team, managing research scientists and ML engineers. You will own people leadership and technical direction for performance-critical model serving systems.

What you will do

• Lead and develop a high-performing team of research scientists and ML engineers
• Own the team's research and development roadmap for production inference systems
• Act as the primary technical interface between the Production Inference team and adjacent functions
• Drive the reliability, efficiency, and cost performance of the model serving stack
• Define the team's direction and push for results with autonomy
• Identify, assess, and recruit research and engineering talent

Required qualifications

• Proven experience leading a team of researchers or ML engineers
• Strong background in Computer Science, Mathematics, Physics, or a comparable quantitative discipline, or a strong ML/systems background with equivalent research depth
• Strong foundation in production ML systems, inference optimisation, or model serving at scale
• Comfortable operating across the full model lifecycle
• Excellent communication skills
• Solution-oriented and decisive

Nice to have

• Direct experience with LLM inference, speculative decoding, quantisation, or serving infrastructure

Benefits

• Hybrid work, flexible hours
• Virtual Shares
• Regular in-person team events
• Monthly full-day hacking sessions
• 30 days of annual leave
• Access to mental health resources
• Competitive benefits tailored to location

About the company

DeepL is a global AI product and research company focused on building secure, intelligent solutions to complex business problems. It has around 1,000 employees and serves over 200,000 business customers.