Research Manager For The Production Inference Team (AI)

TL;DR

Research Manager (AI/ML): Leading the Production Inference team to serve language AI models reliably and efficiently at scale with an accent on the full model serving stack, from GPU runtimes to deployment infrastructure. Focus on balancing near-term reliability with long-term research bets on inference efficiency and architecture.

Location: Hybrid: Must be based in London or Munich (office attendance twice a week)

Company

Global AI product and research company focused on building secure, intelligent solutions to complex business problems via a Language AI platform.

What you will do

• Lead and develop a high-performing team of research scientists and ML engineers, fostering a feedback culture and technical rigour.
• Own the research and development roadmap for production inference systems, balancing reliability and efficiency.
• Act as the primary technical interface between Production Inference and functions like foundational models, voice, and applied research.
• Drive the reliability, efficiency, and cost performance of the model serving stack, including infrastructure evolution.
• Define team direction and drive outcomes autonomously in an environment with evolving requirements.
• Identify and recruit top-tier research and engineering talent.

Requirements

• PhD in Computer Science, Mathematics, Physics, or equivalent research depth in ML/systems.
• Strong foundation in production ML systems, inference optimisation, or model serving at scale (LLM, quantisation, speculative decoding).
• Proven experience leading teams of researchers or ML engineers with a track record of developing talent.
• Comfort operating across the full model lifecycle from training handoff to production deployment and monitoring.
• Excellent communication skills to translate complex technical direction for both technical and non-technical stakeholders.
• Solution-oriented and decisive approach to driving outcomes without direct supervision.

Culture & Benefits

• Hybrid work schedule with flexible hours to support work-life balance.
• Ownership through Virtual Shares, linking individual contribution to company growth.
• 30 days of annual leave plus access to mental health resources.
• Monthly full-day Hack Fridays for pursuing passion projects and cross-team collaboration.
• Inclusive, international environment with a team spanning over 90 nationalities.
• Regular in-person team events and structured onboarding.