Full Stack Engineer
Há 6 dias
Role -LLM - Full Stack Python + JS Project duration: 3 MonthsExp - 3+ YearsSkill - Python, JavaScript / Node.js, TypeScriptAvailability - 40 hours per week with 4 hours of overlap with PST.Role Overview :We're a coding-focused team at Turing that serves as a research partner for a Frontier AI Lab.Our role is to build coding tasks, evaluations, datasets, and tooling that help train and improve large language models (LLMs).You'll write and debug production-quality code, design rigorous evaluations, and build reproducible workflows that generate clean, high-signal data for model training.Attention to detail matters deeply here—small mistakes can cascade into misleading results, so precision and thoroughness are essential.You'll also collaborate closely with engineers, researchers, and quality owners to align on standards, review work, and continuously raise the quality bar.If you enjoy solving unusual technical problems, investigating subtle model failures, and working in developer-like environments where correctness, reproducibility, and collaboration matter, this role will keep you very entertained.What does your day-to-day look like :Write, review, and debug code across multiple languagesDesign tasks and evaluation scenarios for coding, reasoning, and debuggingInvestigate LLM outputs and identify hallucinations, regressions, and failure modesBuild reproducible dev environments using Docker + automation toolsDevelop scripts, pipelines, and tools for data generation, scoring, and validationProduce structured annotations, judgments, and high-quality datasetsRun systematic evaluations that help improve model reliability and reasoningRequired Skills :Experience using LLM coding tools (Cursor, Copilot, CodeWhisperer)Strong hands-on coding experience (professional or research-based) in one or more of:Python, JavaScript / Node.js, TypeScript(Additional languages like Go, Java, C++, C#, Rust, SQL, R, Dart, etc. are a plus)Solid experience with Linux + Bash, scripting, and automationStrong with Docker, reproducible environments, and dev containersAdvanced Git skills (branching, diffs, patches, conflict resolution)Solid understanding of testing and QA (unit, integration, negative, edge-case focused)Ability to reliably overlap with 8am–12pm PT
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