Software Engineer, ML Infrastructure

Serve Robotics

4 months ago

United States

Onsite

Full Time

Senior

0 applicants

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About this role

A Software Engineer on the ML Infrastructure team at Serve Robotics focuses on designing, building, and maintaining a robust data and machine learning platform that supports data partnerships, research, and autonomy engineering for their fleet of delivery robots. Responsibilities include developing scalable data processing pipelines, enhancing data discovery features, and integrating with third-party annotation platforms. The role requires collaboration with autonomy engineers to refine data organization and facilitate effective data usage in a rapidly expanding robotic delivery context. Candidates should have expertise in data engineering, machine learning, and strong skills in Python and SQL.

Skills

Qualifications

BS or MS in computer science with focus in data engineering and/or machine learning3+ years of industry experience building, running and improving large-volume data processing, feature extraction, data annotation workflowsExperience building data mining and search capabilitiesExperience with both Python and SQL is requiredHands-on experience and good understanding of LLMs, VLMs, embeddings, vector databases

About Serve Robotics

www.serverobotics.com

Serve Robotics is a pioneering company focused on sustainable, self-driving delivery solutions. Their autonomous delivery robots are designed to make transporting small items, such as food, more efficient and environmentally friendly, eliminating the need for traditional vehicles. Serve Robotics aims to partner with well-known brands like Uber Eats to expand their service reach and impact on urban delivery logistics. With a commitment to innovation, they strive to make delivery affordable, convenient, and sustainable for the future.