ML Engineer - Instawork Robotics

Instawork
San Francisco
Workplace: OnsiteFull timeUSD 240,000 - 260,000 annuallyFunction: Data Science & Machine LearningExperience: 4+ yearsEducation: mastersSkills: ["Problem-solving","Creativity","Cross-functional collaboration","Communication","Innovator"]

Design, build, and scale data labeling and enrichment pipelines powering robotics-focused ML at Instawork. You’ll optimize data throughput for large-scale datasets, evaluate dataset quality, and translate academic research into production-ready systems. Collaborate with robotics leadership, data ops, QA, and engineering teams to align from concept to deployment, shaping the data foundation for robotics training and AI models.

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FursaFursa
Instawork
Instawork
3 months ago

ML Engineer - Instawork Robotics

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Design, build, and scale data labeling and enrichment pipelines powering robotics-focused ML at Instawork. You’ll optimize data throughput for large-scale datasets, evaluate dataset quality, and translate academic research into production-ready systems. Collaborate with robotics leadership, data ops, QA, and engineering teams to align from concept to deployment, shaping the data foundation for robotics training and AI models.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •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.

Pay and Benefits

Salary: USD 240,000 - 260,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401kEquityPhone StipendCommuter Benefits

Key Requirements

  • •4+ years of professional software engineering experience (excluding internships)
  • •A Master’s or PhD in an AI/ML-related field with 1+ years of experience building ML or CV models for robotics or autonomous vehicle applications
  • •Experience with data pipelines, distributed systems, AWS, and scalable data processing for large-scale datasets
  • •Ability to translate techniques from academic research and frontier labs into production systems
  • •Strong problem-solving mindset and ability to build new-to-world systems and create value for robotics partners
Experience:4+ yearsRoboticsAIMachine learningDistributed systemsCloud computingAWS
Education:Master's in AI/ML or related
Skills:Problem-solvingCreativityCross-functional collaborationCommunicationInnovator
Languages:English
Tech Stack:AWSDistributed systemsData pipelinesMachine learningComputer visionRobotics

Company Brief

Instawork
Operates a marketplace connecting hourly workers with shift-based jobs in hospitality, events, retail, and logistics, providing hiring, scheduling, and payroll tools to businesses and flexible work opportunities to professionals.
Industry: HR Tech
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Funding: Series C
Headquarters: San Francisco, United States
Founded: 2015
WebsiteLinkedIn