
AI Research Professional
2 days ago
This position combines cutting-edge AI research with hands-on system development, allowing you to conduct research, build, validate, and deploy groundbreaking AI capabilities from start to finish.
Main Responsibilities:- Tackle experiments in large language model (LLM) training, LLM agent architectures, fine-tuning, reinforcement learning, and new evaluation methodologies.
- Develop code-first prototypes to test hypotheses and iterate rapidly, refactoring them into production systems when experiments are successful.
- A master's or Ph.D. in CS, ML, or a related field (or equivalent experience).
- Deep familiarity with LLMs, fine-tuning, and 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 (e.g. Flax, Alpa), 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.
Please submit your resume, portfolio, and cover letter to apply for this challenging role.
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