Software Engineer, ML Infrastructure

Serve Robotics(3 months ago)

United StatesOnsiteFull TimeSenior$155,000 - $190,000Software

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.

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Required Skills

Data Processing
Data Curation
Feature Extraction
Data Annotation
Data Discovery
Search Features
Orchestration Systems
Data Schemas
Integration with Annotation Providers
Collaboration

+11 more

Qualifications

BS or MS in computer science with focus in data engineering and/or machine learning
3+ years of industry experience building, running and improving large-volume data processing, feature extraction, data annotation workflows
Experience building data mining and search capabilities
Experience with both Python and SQL is required
Hands-on experience and good understanding of LLMs, VLMs, embeddings, vector databases
Experience with data annotation providers such as CVAT, LabelBox, LabelStudio, etc

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.