Key skills
Software EngineeringPythonJavaScriptReactNode.jsFull-stack DevelopmentSoftware ArchitectureSoftware DesignSoftware DevelopmentDebuggingCode Quality AssessmentCode ReviewProduction-grade Software DeploymentJavaC++CGoRustAILLMLarge Language ModelsDatadogCloudflarePrototypingCommunication
About this role
Turing is the world’s leading research accelerator for frontier AI labs, seeking a Senior Python Engineer for LLM Evaluation. The role involves creating datasets for training large language models and collaborating with researchers to enhance AI-driven coding solutions.
Responsibilities:
- Work on AI model training initiatives by curating code examples, building solutions, and correcting code across both Python and JavaScript (React, Node.js), with additional work in C/C++, Java, Rust, and Go
- Evaluate and refine AI-generated code across backend and frontend contexts to ensure that it is efficient, scalable, and reliable
- Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks
- Build agents that can verify the quality of the code and identify error patterns across full-stack applications
- Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them
- Design verification mechanisms that can automatically verify a solution to a software engineering task
Requirements:
- Several years of software engineering experience (3 years or more)
- Strong expertise in building full-stack applications using Python and JavaScript (React, Node.js), with the ability to work across backend and frontend codebases
- Experience deploying scalable, production-grade software using modern languages and tools
- Deep understanding of software architecture, design, development, debugging, and code quality/review assessment
- Excellent oral and written communication skills for clear, structured evaluation rationales
- Ideal for engineers who have shipped high-impact products at fast-moving companies like Stripe, Airbnb, Cloudflare, Datadog, Coinbase, or similar high-growth engineering environments
- Graduates from programs with strong CS foundations such as University of Washington, University of Illinois Urbana-Champaign, UT Austin, University of Michigan, Purdue, and comparable institutions