About the job
We’re looking for exceptional engineers to help build one of the most transformative applications of AI: using ChatGPT to expand economic opportunity at scale. This is a unique chance to work at the intersection of agents, search/matching, personalization, UX, and real-world economic impact and building AI products that directly change people’s lives. Millions already turn to ChatGPT for career help, but the job market is stuck in static résumés, keyword search, and opaque hiring. We’re building something different: a career agent that understands your skills, helps you prove them through certifications, and works nonstop to unlock opportunities — leading to a network where worker and employer agents match on real capabilities, not job boards.
Responsibilities
Design and ship core systems for search, matching, and recommendation, including candidate-job ranking, retrieval, and personalization pipelines
Partner closely with research and applied ML teams to productionize models and integrate them into high-scale backend systems
Run experiments and iterate on ranking models and recommendation strategies to improve long-term success metrics
Build high-trust, scalable systems that support millions of job seekers and employers
Work closely with product, design, research, and ops to create human-centered experiences powered by AI
Qualifications
Minimum
8+ years of software engineering experience building highly-available user-facing products
Have extensive prior experience building and maintaining production machine learning systems.
Have prior experience working with vector databases, search indices, or other data stores for search and retrieval use cases
Familiarity with ML concepts and production ML systems (e.g., embeddings, ranking models, feature pipelines), even if not a research specialist
Experience collaborating with ML or research teams to deploy models into production systems
Strong backend/system design skills, especially for high-scale data and retrieval systems
Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done
Enthusiasm for working in a fast-moving, ambiguous environment where new ideas ship quickly and user impact matters most
Preferred
No preferred qualifications listed.