Software Engineer, ML Infrastructure

Job not on LinkedIn

🕒 October 30, 2025

🇺🇸 United States – Remote

💵 $155k - $190k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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Serve Robotics

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

📦 Logistics

🍽️ Food & Beverage

🚗 Transport

💰 $30M Venture Round on 2023-08

Logistics • Food & Beverage • Transport

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

• Develop and maintain highly scalable data processing pipelines for data curation, annotation, search and ml feature extraction. • Build data discovery features for the platform. • Create and maintain search features such as natural language querying • Develop and maintain our orchestration and scheduling systems. • Maintain and evolve our data schemas such as unified data attribute system, scenario tagging and management • Build integrations with annotation providers to efficiently review large scale data preannotations • Collaborate with autonomy engineers to collect feedback, improve documentation, and run tutorials on platform features

🎯 Requirements

• 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

🏖️ Benefits

• Offers Equity