ML Engineer - Instawork Robotics

Instawork • San Francisco, CA

11d • Onsite

About The Position

Instawork Robotics is seeking an ML Engineer to help build and scale the technology powering physical AI training data. This role involves working with AI-powered labor marketplace technology and contributing to the creation of high-quality datasets for training robotics foundation models. The ideal candidate will be an innovator and problem-solver, capable of translating academic research into production systems and building new-to-world systems to create value for robotics partners.

Requirements

• 4+ years of professional software engineering experience, excluding internships.
• Master’s or PhD in an AI or ML-related field.
• 1+ years of professional experience building ML or CV models for robotics or autonomous vehicle applications.
• Experienced with data pipelines.
• Expertise in distributed systems.
• Expertise in cloud computing on AWS infrastructure.
• Expertise in scalable data processing for large-scale datasets.
• Background in identifying and translating techniques from academic research and frontier labs into production systems.
• Enjoys building new-to-world systems and applying creativity and grit to create value for our robotics partners.

Nice To Haves

• 3+ years 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.

Responsibilities

• Design, build, and maintain the data labeling and enrichment pipeline at the foundation of Instawork Robotics’ data offering.
• Identify and implement continuous improvements to our data pipeline to improve efficiency, scalability, and quality.
• Develop methodologies and analytics to measure the quality and performance of our dataset and ML models.
• Stay on top of academic research and industry best practices related to robotics learning and training.
• Work closely with robotics leadership, data ops, QA, and other engineering teams to ensure alignment from concept to deployment.

Benefits

• Variety of medical, dental, and vision plans with coverage beginning on the date of hire
• Flexible paid time off
• At least 8 paid company holidays annually
• Phone stipend
• Commuter stipend
• Supplemental pay on qualified leaves
• Employee health savings accounts (HSA) contribution
• Flexible spending plans
• 401K plan
• Perkspot - discount program through Lumity
• Equity in the form of stock options

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level