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Create and refine cutting-edge datasets for training and benchmarking large language models across various programming languages. Evaluate AI-generated code for efficiency, scalability, and reliability while collaborating with researchers and cross-functional teams.
Responsibilities
- Create cutting-edge datasets for training, benchmarking, and advancing large language models
- Curate code examples, provide precise solutions, and make corrections in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go
- Evaluate and refine AI-generated code for efficiency, scalability, and reliability
- Work with cross-functional teams to enhance enterprise-level AI-driven coding solutions
- Build agents that can verify the quality of the code and identify error patterns
- Hypothesize on steps in the software engineering cycle and evaluate model capabilities on them
- Design verification mechanisms that can automatically verify a solution to a software engineering task
Requirements
- 5+ years of software engineering experience
- 2+ years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research)
- Strong expertise in building full-stack applications
- 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
Qualifications
- 5+ years of software engineering experience, including 2+ years of continuous full-time experience at a top-tier product company
Skills
Python
*
Java
*
JavaScript
*
C/C++
*
Go
*
Rust
*
ReactJS
*
* Required skills
About Turing
Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems, based in San Francisco, California.
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