ML Engineer - Instawork Robotics

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works.

Instawork’s on-demand labor marketplace is uniquely valuable for robotics and physical AI training. We’re working with leading frontier labs to create the highest-quality, highest-diversity dataset for training robotics foundation models. Instawork Robotics is the human advantage in the robotics revolution.

The Instawork Robotics ML Engineer will help build and scale the technology powering physical AI training data.

Who You Are

: A mid-career developer, with 4+ years of professional software engineering experience, excluding internships. A machine learning engineer with a Master’s or PhD in an AI or ML-related field and 1+ years of professional experience building ML or CV models for robotics or autonomous vehicle applications. Experienced with data pipelines, with expertise in distributed systems, cloud computing on AWS infrastructure, and scalable data processing for large-scale datasets.

An innovator, with a background in identifying and translating techniques from academic research and frontier labs into production systems. A problem-solver, who enjoys building new-to-world systems and applying creativity and grit to create value for our robotics partners.

What You’Ll Do

: Model Development - design, build, and maintain the data labeling and enrichment pipeline at the foundation of Instawork Robotics’ data offering. Pipeline Optimization - identify and implement continuous improvements to our data pipeline to improve efficiency, scalability, and quality. Dataset Quality - develop methodologies and analytics to measure the quality and performance of our dataset and ML models.

Research Reviews - stay on top of academic research and industry best practices related to robotics learning and training. Cross-Functional Collaboration - work closely with robotics leadership, data ops, QA, and other engineering teams to ensure alignment from concept to deployment.

Benefits

, including: 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 A variety of factors are considered when determining someone’s

Compensation

including a candidate’s professional background, experience, and location. Final offer amounts may vary from the amounts listed above. #LI-Onsite #LI-CR2 Our Values Empathy, Trust Candor We put ourselves in the shoes of our colleagues and customers and don’t shy away from uncomfortable conversations, instead building trust through honest and direct feedback.

Bias for Action We practice high-velocity decision-making, clear-eyed that we often operate with incomplete information. Growing quickly means it’s OK to be wrong, so long as we learn from our mistakes and course correct!