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1 day ago
Senior AI Researcher
Description:This role combines in-depth, publishable AI research with hands-on system development to ensure the creation of groundbreaking AI capabilities end-to-end.
As a bridge between science and software, you will innovate on large language models (LLMs), prompt systems, evaluation frameworks, and algorithm pipelines, and bring them to production-grade systems that power real users.
Expect to author experimental prototypes rich enough for academic-quality write-ups, then productize those same ideas into robust, reliable software.
Responsibilities:- Tackle experiments in LLM training, agent architectures, fine-tuning, reinforcement learning, and new evaluation methodologies.
- Build code-first prototypes to test hypotheses and iterate rapidly—refactor them into production systems when experiments succeed.
- Master's or Ph.D. in Computer Science, Machine Learning, or related field (or equivalent experience)
- Deep familiarity with LLMs, fine-tuning, reinforcement learning
- Expert in Python + frameworks like PyTorch or JAX; experience with Hugging Face or deployed LLM APIs
- Strong software engineering intuition: modular design, CI/CD, containerization, automated testing
- Demonstrated track record in both research and production settings
- Bonus: familiarity with Kubernetes, JAX compiler stacks, Hugging Face Accelerate, or MLOps toolchains
- Research Innovation
- Prototypes demonstrating clear scientific advances (e.g. better evaluation metrics or prompt robustness). Papers submitted or draft-ready internal research docs.
- Engineering Quality & Velocity
- Experimental pipelines and prototypes are production-ready within sprint cycles; clean codebases, smooth deployments, few bugs.
- System Impact & Use
- R&D code drives real product features—high user adoption, improved reliability or performance.
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