About the company
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows.
Responsibilities
- Own end-to-end delivery of features and services — from design through production operation.
- Design scalable, reliable distributed systems and drive key technical decisions.
- Debug and resolve production issues; improve reliability and performance.
- Raise code quality and design standards through thorough, constructive reviews.
- Mentor junior engineers and contribute to a strong engineering culture.
- Collaborate cross-functionally with product, design, and other teams.
Requirements
- 6–8 years of software engineering experience, ideally at scalable product companies.
- Proven ownership: end-to-end delivery, production debugging, and mentoring more junior engineers.
- Strong distributed systems and cloud engineering skills (AWS, GCP, or Azure).
- Solid code quality, testing, and design practices.
- A track record with measurable scale, reliability improvements, and architecture participation.
- Strong cross-functional collaboration and clear communication.
- A degree in Computer Science, IT, or a related engineering field is preferred but not required — we weight work outcomes most heavily.
- Nice to Have: Microservices / platform engineering experience; AI/LLM platform integrations.
Conditions
- Work at the frontier of AI, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
- Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
- Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to solve real-world business challenges.
- Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
- Move at the pace of AI innovation, with the speed, ownership, and impact of a startup.