Senior ML Engineering Manager (AV data)

About the Role
Autonomous vehicles are rapidly approaching the markets in which we operate, yet there is a significant gap in data from these cities. We are building a foundational data platform using one of the largest ride-hailing fleets in the world, particularly in emerging markets that global AV players have not yet tapped into. Our goal is to turn this fleet into an AV-grade data platform, utilizing large-scale multi-sensor collection from actual vehicles during real trips, evaluating driving models against human drivers, and employing both automated and human-in-the-loop causal annotation, as well as camera-first 3D scene reconstruction for simulation. We are seeking a Senior ML Engineering Manager to lead this initiative, hire the team, establish the vehicles and data platform, set the technical standards, and oversee delivery from start to finish.

Key Responsibilities

• Own the AV data workstream end to end. Manage roadmap development, execution, quality, and outcomes from vehicle data capture through to processing, annotation, and delivery of AV-grade datasets.
• Build the team from zero. Hire and lead a multidisciplinary team encompassing large-scale data engineering, search and serving, ML engineering (including divergence detection, edge inference, VLM-based auto labeling), 3D reconstruction research, and data annotation operations. Own the hiring bar and drive the team’s growth.
• Management. Oversee the ML engineers’ charter across the cluster.
• Set technical direction across disciplines. Provide design authority for the full pipeline, including onboard capture, cloud ingestion and processing at fleet scale, semantic and causal labeling, and neural scene reconstruction; make key technical decisions based on evidence.
• Partner with organizational leaders. Collaborate closely with leaders in data platform, ML ops, geo and mapping, and broader autonomous vehicle initiatives to align roadmaps, share infrastructure, and facilitate timely delivery.
• Own external partnerships. Drive technical relationships essential to this work, including engagement with the NVIDIA AV ecosystem and potential AV partners that will utilize our data.
• Balance research and delivery. Frame core questions as research milestones, redirect work based on evidence, and ensure the team continuously delivers measurable results on a set schedule.

Skills, Knowledge and Expertise

• 10+ years of engineering experience in applied ML, autonomous systems, or large-scale data and ML platforms, including 3+ years in the autonomous vehicle industry or closely adjacent fields (AV data, simulation, evaluation platforms, ADAS, robotics perception, HD mapping), and 4+ years managing engineering teams with a proven history of building teams from the ground up and driving projects from conception to completion.
• Strong understanding of the modern AV and foundation model landscape, including vision-language models, multi-modal perception, 3D reconstruction, neural rendering, and the NVIDIA AV ecosystem, with the expertise to set direction, review designs, and make informed technical decisions.
• Comprehensive engineering leadership experience: successfully led data engineering, platform, or infrastructure delivery in addition to ML research, and can effectively evaluate and facilitate work across these disciplines.
• Demonstrated capability to bring large-scale ML systems from conception to production, including data pipelines, training and evaluation infrastructure, and models that operate under real-world constraints.
• Strong external presence with experience managing technical partnerships, vendor relationships, or senior-level customer engagements.
• Deep fluency with the modern ML technology stack (PyTorch or an equivalent framework), large-scale training and inference, Python, and Linux, as well as expertise in cloud data platforms managing multi-terabyte datasets.
• Bachelor’s degree in Computer Science, Engineering, or a related field.

Nice to Have:

• Experience in the AV industry specifically focused on offline evaluation, data mining, annotation platforms, or simulation, distinct from on-vehicle stack development.
• Advanced degree (MS or PhD) in ML, robotics, or computer vision.
• Familiarity with emerging markets and comfort in environments where established processes are not yet in place.

Why Join Us

• Help challenge injustice by creating fair opportunities for millions of people across 47 countries.
• Develop your professional skills with access to mentoring, career consulting, and learning programs.
• Collaborate with teams globally and gain international experience through our Global Talent Exchange Program.
• Participate in company-wide challenges, awards, sports activities, and employee-led social impact and volunteering projects.
• Work alongside proactive individuals who communicate openly and encourage personal growth.
• Enhance your language skills with co-financed courses and internal speaking clubs.

Final benefits may vary depending on the location.