Job description
HireArt is helping an on-demand, autonomous ride-hailing company find a Software Engineer, Perception Attributes Auto-Labeling Pipeline to build and scale the systems that accelerate data annotation for machine learning and perception development.
In this role, you’ll develop and operate auto-labeling pipelines that leverage foundation models to improve annotation efficiency and data quality. You’ll work closely with machine learning, perception, and data infrastructure teams to build scalable backend systems, support experimentation, and ensure seamless integration with existing data and labeling workflows.
The ideal candidate is a strong software engineer with experience building data-intensive systems, integrating machine learning services, and supporting production-scale pipelines. They enjoy working at the intersection of software engineering, machine learning, and data infrastructure.
As a Software Engineer, Perception Attributes Auto-Labeling Pipeline, you'll:- Build and maintain auto-labeling pipelines that ingest annotation tasks, dispatch requests to foundation model APIs, process structured outputs, and return pre-labels to labeling workflows.
- Develop monitoring and observability solutions that track latency, model costs, attribute coverage, system health, and error conditions.
- Support machine learning experimentation by preparing datasets, executing evaluation workflows, and collecting outputs for analysis.
- Partner with perception, machine learning, and data infrastructure teams to integrate pipeline components with existing systems and services.
- Develop scalable backend services and data processing workflows that support high-volume annotation and machine learning operations.
- Troubleshoot pipeline issues, optimize system performance, and improve operational reliability.
- Document system architecture, operational procedures, and best practices to support long-term maintainability.
- Create runbooks and operational documentation to ensure successful knowledge transfer and ongoing support.
Requirements
- 3+ years of experience in backend software engineering, data engineering, or data pipeline development
- Strong programming skills in Python and familiarity with C++
- Experience processing large datasets using PySpark or similar distributed data processing frameworks
- Understanding of machine learning fundamentals, including model inference, embeddings, structured outputs, and common evaluation metrics such as precision and recall
- Experience integrating foundation model APIs such as Gemini, OpenAI, Anthropic, or similar large language model platforms
- Experience building, deploying, and supporting production-scale software systems
- Strong analytical, troubleshooting, and problem-solving skills
- Excellent written communication skills with experience creating technical documentation, design documents, and operational runbooks
Bonus Qualifications:- Experience with Databricks or similar data engineering platforms
- Experience supporting machine learning pipelines from data ingestion through inference and monitoring
- Familiarity with annotation tooling or human-in-the-loop machine learning workflows
- Experience supporting autonomous vehicle, robotics, or other large-scale perception data pipelines
- Experience with AWS services, including S3, ECS, EKS, Lambda, or related cloud technologies
- Experience collaborating closely with machine learning engineers in shared codebases and production environments
Benefits:- Pre-tax commuter benefits
- Employer (HireArt) subsidized healthcare benefits (eligibility begins on the first of the month following 60 days of service)
- Flexible Spending Account for healthcare-related costs
- HireArt covers all costs for short- and long-term disability and life insurance
- 401k package
Commitment: This is a full-time, ongoing contract position staffed via HireArt. It will be hybrid, requiring at least three days per week onsite, and is available to candidates local to the Foster City, CA area.
HireArt values diversity and is an Equal Opportunity Employer. We are interested in every qualified candidate who is eligible to work in the United States. Unfortunately, we are not able to sponsor visas or employ corp-to-corp.