Software Engineer, ML Infrastructure

• Develop and maintain highly scalable data processing pipelines for data curation, annotation, search and ML feature extraction
• Build data discovery features and search capabilities including natural language querying for the platform
• Maintain and evolve data schemas such as unified data attribute system, scenario tagging and management
• Build integrations with annotation providers to efficiently review large scale data preannotations

This role helps power the data and ML platform that enables robotic deliveries, which takes deliveries away from congested streets, makes deliveries available to more people, and benefits local businesses.

• 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
• Solid understanding of data distributions and their impact on ML Models
• Hands-on experience and good understanding of LLMs, VLMs, embeddings, vector databases
• Experience with data annotation providers such as CVAT, LabelBox, LabelStudio, etc

No benefits information provided in the job description.

Serve Robotics is reimagining how things move in cities through personable sidewalk robots designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.