Staff Tech Lead Manager, ML Data Services

🕒 March 11

🏢🏡 Boston – Hybrid

💵 $225k - $275k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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Motional

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2020

🚗 Transport

🤖 Artificial Intelligence

Transport • Artificial Intelligence • Automotive

Motional is a leading company in the development of autonomous vehicles, focusing on making driverless transportation a safe, reliable, and accessible reality. A joint venture between Hyundai Motor Group and Aptiv, Motional has been at the forefront of driverless technology for decades, creating SAE Level 4 autonomous vehicles for ride-hail and delivery services. The company emphasizes safety and innovation, leveraging advanced machine learning and automotive technology to build fully driverless vehicles that integrate smoothly into mobility networks, providing an enjoyable experience for daily transportation and deliveries.

📋 Description

• 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. • Serve as the top technical expert for the team, architecting complex, highly scalable, and fault-tolerant systems for data ingestion, transformation, and serving. • 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. • 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. • Act as a technical leader-manager hybrid, balancing 50% management duties with 50% technical leadership, architecture, and hands-on coding/design. • Drive hiring and recruitment efforts to attract, onboard, and retain top engineering talent, fostering a diverse and inclusive team culture. • Champion engineering excellence, operational rigor, and a strong sense of ownership within the team. • 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. • Communicate complex technical concepts and strategic direction effectively to both technical and non-technical stakeholders, including executive leadership.

🎯 Requirements

• 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. • 3+ years of experience managing engineering projects with a track record of delivering efficient tools and infra. Manager experience of building and scaling high-performing teams is a strong plus (including mentoring, performance management, and career development). • 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.

🏖️ Benefits

• Medical • Dental • Vision • 401k with a company match • Health saving accounts • Life insurance • Pet insurance • Bonuses if applicable