Senior Software Engineer, Coding
$225,000–$250,000 year
On-siteSan Francisco, California, United States
Job Summary
Architect and build scalable data infrastructure that powers the generation, transformation, validation, and delivery of large-scale coding datasets for frontier AI models. Design end-to-end evaluation systems, including automated grading, benchmarking, and human-in-the-loop review workflows, while leading technical design for developer-facing tooling and integrations with engineering ecosystems. Build reliable backend services and APIs supporting dataset generation and experiment infrastructure, driving architectural decisions around distributed systems and workflow orchestration. Partner closely with ML researchers to translate evolving evaluation methodologies into production-ready systems, improving platform reliability through monitoring and operational excellence. Mentor engineers through design reviews and code reviews to raise the engineering bar across the team.
Required Qualifications
- 6+ years of professional software engineering experience building backend systems, data infrastructure, or distributed platforms
- Strong programming skills in Python, TypeScript, Java, or similar languages
- Experience designing and operating large-scale data pipelines, distributed systems, or workflow orchestration platforms
- Strong system design skills, with experience making architectural decisions around scalability, reliability, observability, and maintainability
- Experience building cloud-native systems using AWS, GCP, or similar cloud platforms
- Familiarity with containerized execution environments (Docker, Kubernetes) and distributed job processing
- Strong understanding of relational and/or NoSQL databases, data modeling, and storage systems
- Ability to navigate ambiguity and translate evolving research or product requirements into scalable engineering solutions
- Excellent communication skills and a track record of partnering effectively with researchers, product managers, and cross-functional engineering teams
- Experience mentoring engineers and leading technical projects from design through production
Desired Qualifications
- Experience building ML data infrastructure, evaluation frameworks, benchmarking systems, or dataset generation pipelines
- Experience with coding agents, AI-assisted software development tools, or developer productivity platforms
- Familiarity with GitHub APIs, developer ecosystems, CI/CD platforms, or code execution environments
- Experience with workflow orchestration frameworks such as Airflow, Temporal, Dagster, or similar distributed job systems
- Experience building automated testing, grading, or code execution platforms
- Background working on infrastructure, platform engineering, or developer tooling in high-growth environments
- Familiarity with LLM evaluation, coding benchmarks, or agentic software engineering systems
- Passion for advancing AI-powered software development through scalable engineering infrastructure
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