Turing

Turing

Turing connects businesses with deeply vetted developers and teams using AI technology to provide custom application development and software engineering services for groundbreaking products.

Internet Software & Services
501-1000
$53M raised

Description

  • Design and ship end-to-end features spanning data models, APIs, background workers, and UI components.
  • Build and improve large-scale agent and model evaluation workflows, including sandboxed trials, scoring, and result aggregation.
  • Develop benchmark task quality checks using verifiers, rubric-based grading, and LLM-as-a-judge approaches.
  • Integrate new models, agents, and benchmarks through reusable, generalizable platform capabilities.
  • Maintain system performance and reliability through efficient queries, safe migrations, and scalable concurrency.
  • Review pull requests and uphold engineering guidelines, code consistency, testing, and error-handling standards.
  • Own loosely defined requests from discovery through implementation, testing, migrations, and edge cases.

Requirements

  • 5+ years of experience building and operating production backend systems, including ownership of a service from design through on-call.
  • Bachelor’s degree or higher in Software Engineering, Computer Science, or a related field.
  • Strong Python skills and experience with Django or a similar framework, PostgreSQL, and a task queue such as Celery.
  • Hands-on LLM evaluation experience, including benchmark task design, agent-trial scoring, and result aggregation and comparison.
  • Ability to assess task quality, including ambiguous instructions, gameable verifiers, answer leakage, and invalid checks.
  • Experience making pragmatic design tradeoffs and extending existing systems before introducing new components.
  • Ability to independently deliver work including code discovery, design decisions, migrations, tests, and user edge cases.
  • Comfort working with TypeScript and React for user-facing changes.
  • Clear written communication in pull request descriptions and design notes.
  • Experience with sandboxed or containerized agents, LLM-as-a-judge grading, coding-agent tools, distributed scheduling, or evaluation infrastructure is preferred.

Benefits

  • $xxx,000–$xxx,000 base salary plus equity.
  • Opportunity to work on AI datasets, reinforcement-learning environments, and benchmarks for leading AI labs.
  • Potential to contribute to leading-edge AI research and showcase work at conferences such as ICLR, ICML, and NeurIPS.
  • Collaboration with colleagues with AI experience from companies including Google, Meta, and Amazon.
  • Startup-paced environment with high ownership and impact.
  • Inclusive, equal-opportunity workplace.

Interested in this position?

Apply directly on the company website

Apply Now

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