Serve Robotics
51 - 200 employees
Founded 2017
🚗 Transport
🤖 Artificial Intelligence
💰 $30M Venture Round on 2023-08
Transport • Artificial Intelligence
Serve Robotics is an innovative company focused on revolutionizing the delivery industry with its autonomous delivery robots. The company aims to make delivery services more affordable, sustainable, and convenient by using self-driving robots instead of traditional two-ton vehicles for small deliveries like burritos. Through a commercial deal with Uber, Serve Robotics plans to deploy up to 2,000 robots, marking a significant advancement in the autonomous delivery sector.
Director of Product, Data Flywheel
Job not on LinkedIn
🕒 February 4
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Serve Robotics
51 - 200 employees
Founded 2017
🚗 Transport
🤖 Artificial Intelligence
💰 $30M Venture Round on 2023-08
Transport • Artificial Intelligence
Serve Robotics is an innovative company focused on revolutionizing the delivery industry with its autonomous delivery robots. The company aims to make delivery services more affordable, sustainable, and convenient by using self-driving robots instead of traditional two-ton vehicles for small deliveries like burritos. Through a commercial deal with Uber, Serve Robotics plans to deploy up to 2,000 robots, marking a significant advancement in the autonomous delivery sector.
📋 Description
• Build and drive roadmap for the Autonomy Data Flywheel • Draft requirements and ensure delivery for all consumers of the data including End-End AI, Perception, Safety and other teams. • Work with engineering teams to set and achieve targets for both quality and quantity KPIs • Define and maintain Data Diversity metrics for maximizing scenario coverage on Sidewalk ODD(Operational Design Domain) • Cross functional initiatives with Operations and IT teams to drive depot and cloud infrastructure work. • Support Data pipelines so that we are retaining the right data without impacting safety and day to day operations
🎯 Requirements
• 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 • Preferred: Experience with data infrastructure at Edge/Depot (E.g. NAS infra) and Cloud • Experience with ML Ops, targeted and active learning approaches
🏖️ Benefits
• Offers Equity
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