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This role involves evaluating software engineering by creating and refining datasets for AI model training, including curating code examples, providing solutions, and correcting code using various programming languages. The position focuses on enhancing AI-driven coding solutions and designing verification mechanisms.
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 to ensure 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 on them
- Design verification mechanisms that can automatically verify a solution to a software engineering task
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
- Several years of software engineering experience (+5 years), 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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