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This role involves curating, evaluating, and refining code examples for training and benchmarking large language models, collaborating with researchers to enhance AI-driven coding solutions, and building verification mechanisms for software engineering tasks.
Responsibilities
- Curate code examples, build solutions, and correct code in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go for AI model training initiatives
- Evaluate and refine AI-generated code for efficiency, scalability, and reliability
- Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks
- Build agents that can verify the quality of code and identify error patterns
- Hypothesize on steps in the software engineering cycle and evaluate model capabilities
- Design verification mechanisms to automatically verify solutions to software engineering tasks
Requirements
- Several years of software engineering experience (+5 years)
- 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 and 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
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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