ML Engineer

Responsibilities

• Design, build, and maintain the data labeling and enrichment pipeline for robotics data
• Identify and implement continuous improvements to data pipeline efficiency, scalability, and quality
• Develop methodologies and analytics to measure dataset quality and ML model performance
• Stay updated on academic research and industry best practices for robotics learning
• Collaborate with robotics leadership, data ops, QA, and engineering teams

Requirements

• 4+ years of professional software engineering experience
• Master’s or PhD in AI, ML, or a related field
• 1+ years of professional experience building ML or CV models for robotics or autonomous vehicles
• Expertise in data pipelines, distributed systems, and cloud computing on AWS
• Experience translating academic research into production systems

Preferred Qualifications

• 3+ years of experience designing or architecting production distributed systems
• Experience shipping production code at an early-stage or mid-stage startup
• Experience participating in technical discussions with external partners and customers

Benefits

• Medical, dental, and vision plans
• Flexible paid time off and 8+ paid company holidays
• Phone and commuter stipends
• 401K plan and HSA contributions
• Equity in the form of stock options

About the Company

Instawork is an AI-powered labor marketplace connecting skilled professionals with local businesses. Through Instawork Robotics, the company is building high-quality datasets to train the next generation of robotics foundation models.