Instawork

1 month ago

ML Engineer - Instawork Robotics

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 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

Website LinkedIn

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Instawork

1 month ago

ML Engineer - Instawork Robotics

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

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

Industry: HR Tech

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2015

Website LinkedIn