ML Systems Engineer - Data Labeling & Automation

Jobtailor; Sunnyvale (CA); On-site; USD 110,000 - 160,000; Full time

Job summary

Jobtailor in Sunnyvale, CA, is seeking a software engineer to develop automation and tooling for labeling workflows and data quality. You will collaborate with ML engineers to design ML-driven data annotation, including pre-labeling and autolabeling, and help scale labeling to support new models and cities.

You will design and test scalable, high-performance user experiences using modern frontend technologies, ship features across product surfaces, and apply production engineering practices such

Qualifications

• Bachelor’s/Master’s/PhD in CS/CE/SE/AI/ML or related STEM field; awarded within the last 9 months.
• Experience building software through coursework, internships, research, personal projects, or prior professional experience.
• Programming experience in Python, TypeScript, JavaScript, Go, Java, or C++.
• Familiarity with OO design, patterns, data structures, algorithms, API/interface design, and engineering best practices.

Responsibilities

• Develop automation and tooling for labeling workflows and data quality, including efficiency dashboards, automated quality assurance, and autolabel review tools.
• Collaborate with ML engineers to design and integrate ML-driven data annotation, including pre-labeling, autolabeling, and active learning loops.
• Help evolve labeling workflows from human-only processes toward machine-led labeling at scale.
• Design, implement, and test scalable, high-performance user experiences and services using modern full-stack and/or frontend technologies.
• Ship features across multiple product surfaces to improve the speed and accuracy of data labeling for new models and cities.
• Apply production engineering practices including code review, automated testing, observability, CI/CD, and incremental delivery.
• Use AI-assisted development workflows such as code assistants, automated documentation, test generation, and operational triage while maintaining code and product quality.
• Partner with labelers, ML engineers, Product Operations, Product Management, Data Science, and other cross-functional teams to improve the platform.

Skills

Python Programming

TypeScript Programming

JavaScript Programming

Data Annotation Workflows

CI/CD Practices

Machine Learning Integration

Data Quality

AI-Assisted Engineering

React

SQL

Redux

GRPC

GraphQL

WebGL

Observability Systems

Telemetry

A/B Testing

Visualization Tools

Education

Bachelor’s/Master’s/PhD in Computer Science, Computer Engineering, Software Engineering, AI, ML, or related STEM field; awarded within past 9 months

Tools

React

SQL

Redux

GRPC

GraphQL

WebGL

Observability Systems

Telemetry

A/B Testing

Visualization Tools

Job description

Jobtailor in Sunnyvale, CA, is seeking a software engineer to develop automation and tooling for labeling workflows and data quality. You will collaborate with ML engineers to design ML-driven data annotation, including pre-labeling and autolabeling, and help scale labeling to support new models and cities.

You will design and test scalable, high-performance user experiences using modern frontend technologies, ship features across product surfaces, and apply production engineering practices such