ML Systems Engineer, Data Labeling Engineering - Early Career (AI/ML)

Location: Hybrid in Sunnyvale, California; on-site attendance required at least three times per week. The role may be eligible for relocation benefits.

Salary: $125,000–$165,000 per year, plus potential incentive compensation.

Company

hirify.global develops automotive technologies and autonomous-vehicle capabilities with a focus on safety, emissions reduction, and congestion reduction.

What you will do

• Build tools and services that help machine learning teams create high-quality training data for autonomous driving.
• Develop automation, efficiency dashboards, auto-QA, and autolabel review tools to improve labeling workflows and data quality.
• Integrate ML-driven annotation capabilities, including pre-labeling, autolabeling, and active-learning loops.
• Design, implement, and test scalable, high-performance frontend experiences and backend services.
• Build features across frontend, backend, data pipelines, ML integrations, and quality systems used by labelers, ML engineers, and operations teams.
• Use AI-assisted development workflows such as code assistants, automated documentation, and test generation.

Requirements

• Recent degree in Computer Science, Computer Engineering, Software Engineering, Artificial Intelligence, Machine Learning, or a related STEM field; completed degrees must have been earned within the past 12 months.
• Experience shipping software or features through internships, research, academic projects, or professional work.
• Programming experience in Python, TypeScript, JavaScript, Go, Java, or C++.
• Knowledge of object-oriented design, design patterns, data structures, algorithms, API and interface design, and engineering best practices.
• Strong communication and collaboration skills, including the ability to explain trade-offs and work with cross-functional partners.
• Interest in autonomous vehicles, robotics, machine learning, data-centric AI, or developer and ML platform technologies.

Nice to have

• Degree completed between May 2025 and August 2026, with availability to begin employment in 2026.
• Experience using AI tools and agentic workflows for implementation, debugging, documentation, operational triage, or delivery.
• Experience with scalable full-stack development using Python, TypeScript, Go, React, SQL, Redux, gRPC, GraphQL, or WebGL.
• Understanding of scalable system design, data modeling, observability, CI/CD, test-driven development, and code quality.
• Ability to turn complex workflows for labelers, ML engineers, and operations teams into simple, intuitive tools.

Culture & Benefits

• Work with AI/ML engineers, product operations, product management, data science, and ML platform teams.
• Contribute to production systems used by thousands of users and consumers.
• Access total rewards and employee well-being benefits from the start of employment.
• Work in an environment focused on inclusion, belonging, and equal employment opportunity.

Hiring process

• Role-related assessments and pre-employment screening may be required where applicable.