Software Engineer (Pipelines & Developer Experience)
What we're looking for?
We need a Software Engineer with 0-3 years of experience who takes significant responsibility and pride in their work, focusing on developer experience. You should be comfortable owning the technical lifecycle of data pipelines, from defining new data formats with partner labs to shipping tooling, environments, documentation, and QA at scale. We value high agency, strong technical judgment, and a pragmatic mindset, with a deep resourcefulness in using AI tools. Experience with open-source projects or a strong foundation in engineering skills from a medium to large-size repository is a strong signal.
What you'll do:
• Own projects end-to-end, from initial prototyping to ongoing maintenance, bug fixing, and iteration based on feedback.
• Own developer experience pipelines end-to-end: Prototype tooling for collecting new data formats, productionize workflows, and iterate based on developer feedback.
• Champion DX: Create clear, concise guidelines and documentation to empower our data contributors and ensure high-quality inputs for your projects.
• Develop and manage quality standards for your projects, including training and aligning content reviewers, implementing automated checks, eval harnesses, reviewer workflows, and data quality bars.
• Monitor, debug, and continuously improve reliability, latency, and contributor success rates.
• Co-author specs/RFCs with frontier lab researchers; design schemas, metadata, and versioning for new task/trajectory formats.
• Ship tooling, sandboxes, CLIs/SDKs, and capture/instrumentation to make contribution flows fast and safe.
Apply Now
Apply Now
We need a Software Engineer with 0-3 years of experience who takes significant responsibility and pride in their work, focusing on developer experience. You should be comfortable owning the technical lifecycle of data pipelines, from defining new data formats with partner labs to shipping tooling, environments, documentation, and QA at scale. We value high agency, strong technical judgment, and a pragmatic mindset, with a deep resourcefulness in using AI tools. Experience with open-source projects or a strong foundation in engineering skills from a medium to large-size repository is a strong signal.
What you'll do:
• Own projects end-to-end, from initial prototyping to ongoing maintenance, bug fixing, and iteration based on feedback.
• Own developer experience pipelines end-to-end: Prototype tooling for collecting new data formats, productionize workflows, and iterate based on developer feedback.
• Champion DX: Create clear, concise guidelines and documentation to empower our data contributors and ensure high-quality inputs for your projects.
• Develop and manage quality standards for your projects, including training and aligning content reviewers, implementing automated checks, eval harnesses, reviewer workflows, and data quality bars.
• Monitor, debug, and continuously improve reliability, latency, and contributor success rates.
• Co-author specs/RFCs with frontier lab researchers; design schemas, metadata, and versioning for new task/trajectory formats.
• Ship tooling, sandboxes, CLIs/SDKs, and capture/instrumentation to make contribution flows fast and safe.
Apply Now
Apply Now