Job Description

What You Will Do Daily:

  • Develop and maintain Python-based tooling and infrastructure to support AI-driven solutions for code quality and security.
  • Implement and optimize AI-focused experiments, creating robust systems to evaluate modern techniques, including fine-tuning, retrieval-augmented generation (RAG), direct preference optimization (DPO), and reinforcement learning from human feedback (RLHF).
  • Write scalable, production-quality Python code to support AI workflows, dataset processing, and evaluation frameworks.
  • Design and maintain benchmarking pipelines to assess Large Language Model (LLM) performance in generating clean, maintainable code.
  • Process and refine datasets, ensuring they’re structured and optimized for training and evaluation.
  • Develop integrations between AI systems and static analysis tools, enabling AI-assisted insights for developers.
  • Collaborate with static analysis experts and AI researchers ...

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