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Staff Software Engineer (AI Data Platform)
Labelbox · San Francisco, United States
About The Role
Join Labelbox, a leading company in frontier AI development. As a Staff Software Engineer, you will work on cutting-edge AI technology, collaborating with industry leaders and shaping the future of artificial intelligence. You will have clear ownership of your projects, the autonomy to execute, and the opportunity for continuous growth in a high-impact environment. Enjoy a flexible vacation policy, 401k program, college savings account, daily lunches, virtual wellness programs, and a dog-friendly office.
- Concevoir et développer des systèmes d'évaluation qui exécutent des millions de trajectoires d'agents pour mesurer la qualité des modèles et des produits.
- Construire des pipelines de réglage fin qui transforment les signaux d'évaluation en améliorations mesurables des agents.
- Intégrer les derniers modèles et capacités en production dans les jours suivant leur sortie.
- You build full stack prototypes fast and they hold up. The v1 you ship becomes the foundation the rest of the team builds on
- 4+ year track record of shipping systems customers and other engineers rely on
- You have worked in all parts of the stack
- Strong system and API design judgement
- Deep proficiency in TypeScript and/or Python
- You ship production code with coding agents daily. You know where they break and what it takes to make them reliable to further accelerate the team's velocity
- Hard architecture and product calls land with you. You make them, defend them under pressure, and update fast when someone else is right
- You set direction by being the example. Other engineers reach for your designs and your code as the reference
- You move fast in ambiguous, startup-pace environments with influence over authority
- Production experience building LLM- or agent-driven products
- Background in production distributed systems, ML infrastructure, or data systems at scale
- Designing evaluations for LLMs and agents, or producing high-quality data for ML systems
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