Tech Lead Manager – ML Autonomy Performance

Overview

In this role you lead a small team focused on Robotaxi driving performance, while staying deeply technical. You diagnose high-impact road issues and drive fixes through data and model iteration. You own data recipes, model architecture, and evaluation for the driving model, and collaborate cross-functionally to resolve interface challenges. You will write code, run experiments, and shape priorities as the team scales the Robotaxi program. This is a hands-on leadership position at the heart of Wayve’s autonomous driving mission.

Pay / Benefits

• salary benchmarked against the market
• meaningful equity
• relocation support and visa sponsorship
• hybrid working with in-office and remote days
• learning and development budgets
• comprehensive health benefits and wellbeing programs

Responsibilities

• Lead a team of up to five engineers, balancing people leadership with hands-on technical work
• Diagnose on-road high-impact issues, identify root causes, and implement fixes via data/model iteration
• Own changes to data pipelines, model architecture, evaluation, and release readiness for the driving model
• Collaborate with other teams to resolve cross-functional model-vehicle interface issues
• Act as a key hands-on developer, writing code and running experiments while setting team priorities
• Contribute to end-to-end development of the Robotaxi driving model powering global launches
• Scale driving performance across cities and platforms while meeting KPIs
• Drive data-led iteration using on-road and off-road evaluations to close performance gaps
• Grow and shape a small high-impact team as the Robotaxi program expands

Key requirements

• Managed engineers before and able to lead while remaining technically hands-on
• Strong technical proficiency in Python and model/data iteration
• Experience deploying production ML models and improving live systems
• Focus on production ML over initial research or exploration

• people leadership
• cross-functional collaboration
• strong communication
• Python (hands-on)
• ML productionization
• model iteration and evaluation

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