ML Engineer - Instawork Robotics

InstaworkSan Francisco, CA
$170,000 - $200,000Onsite

About The Position

Instawork Robotics is seeking an ML Engineer to help build and scale the technology powering physical AI training data. This role is crucial for creating high-quality, diverse datasets for training robotics foundation models, working with leading frontier labs. The engineer will be responsible for model development, pipeline optimization, dataset quality assurance, staying updated on research, and collaborating with cross-functional teams.

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
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