Head of Data Flywheel Product (Remote)

Serve Robotics; Redwood City (CA); Hybrid; USD 200,000 - 245,000; Full time

Job summary

Serve Robotics in Redwood City, California, is seeking a professional to enhance their Autonomy Data Flywheel, focusing on data infrastructure for robotic deliveries. Ideal candidates will have experience in AV/Automotive or Robotics/Edge AI, alongside a strong background in ML Ops.

The role involves drafting requirements, collaborating with engineering teams, and defining metrics for data diversity. Offering a competitive salary range of $200k - $245k USD for the San Francisco Bay Area, the company is also open to remote work options for qualified candidates in the United States and Canada.

Qualifications

• Product/Engineering experience in AV/Automotive or Robotics/Edge AI sectors is essential.
• Must have experience in building production-level ML Ops pipelines.
• Fluency with training datasets and evaluations for AI models is required.

Responsibilities

• Build and drive the roadmap for the Autonomy Data Flywheel.
• Draft requirements and ensure delivery for all consumers of data.
• Work with engineering teams to set and achieve quality and quantity KPIs.
• Define and maintain Data Diversity metrics for sidewalk coverage.
• Cross-functional collaboration with Operations and IT teams.
• Support data pipelines to retain necessary data while maintaining safety.

Skills

Product/Engineering Experience for data infrastructure in AV/Automotive or Robotics/Edge AI industries

Experience building production level ML Ops pipelines

Fluent with training datasets and evals for AI models

Experience with data infrastructure at Edge/Depot (E.g. NAS infra) and Cloud

Experience with ML Ops, targeted and active learning approaches

Job description

Serve Robotics in Redwood City, California, is seeking a professional to enhance their Autonomy Data Flywheel, focusing on data infrastructure for robotic deliveries. Ideal candidates will have experience in AV/Automotive or Robotics/Edge AI, alongside a strong background in ML Ops.

The role involves drafting requirements, collaborating with engineering teams, and defining metrics for data diversity. Offering a competitive salary range of $200k - $245k USD for the San Francisco Bay Area, the company is also open to remote work options for qualified candidates in the United States and Canada.