Motional

Staff Tech Lead Manager, ML Data Services

Remote U.S · Staff+

Sponsorship not specified$172k-$225kDetected 7 days ago

Distributed SystemsAWSGCPAzureCloud PlatformsMachine LearningSparkData EngineeringPerformance ManagementLeadershipCollaborationMentoring

About the role

The ML Data Service team is responsible for providing reliable, high-quality, and easily accessible data for all ML use cases.
This role is hybrid from our Boston and Pittsburgh offices and requires two in-office days per week, ideally Tuesday and Thursday.
Salary Range $172,000 - $225,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality.

Define and drive the technical roadmap and long-term strategy for the ML Data Service platform, ensuring it meets the evolving needs of ML engineers across the company.
Drive the implementation of robust mechanisms for monitoring data quality, tracking data lineage, and ensuring overall data governance and compliance.
Provide hands-on technical guidance, design reviews, and mentorship to engineers, ensuring the adoption of best practices, high code quality, and operational excellence.
Manage a team of software engineers, including performance reviews, career development, coaching, and mentoring.
Drive hiring and recruitment efforts to attract, onboard, and retain top engineering talent, fostering a diverse and inclusive team culture.
Collaborate closely with ML model teams and Infrastructure teams to understand data needs and deliver solutions that accelerate ML development cycles.
Lead the execution of major projects, ensuring on-time delivery and alignment with business objectives.
Our infrastructure supports hundreds of data pipelines and petabytes of data, directly enabling the success of our flagship products.
We aren't just developing driverless cars
To do so successfully, we must design for everyone in our cities and on our roads.

Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
8+ years of experience in software engineering, with a strong focus on large-scale data systems, distributed systems, or ML infrastructure.
Deep expertise in data processing technologies (e.g., Spark, Flink, Beam, distributed databases) and experience with cloud platforms (e.g., AWS, GCP, Azure).
Demonstrated experience designing, implementing, and operating production-grade ML data pipelines or feature stores.

3+ years of experience managing engineering projects with a track record of delivering efficient tools and infra.

Lead the technical vision for the provision of diverse training data sources, including ingestion from real-world drive logs, resimulation outputs, autolabelling pipelines, and human labelling efforts.

This listing is sourced directly from Motional's careers page and normalized into a canonical job model.