Samaya is building the first Human-AI Knowledge Network to transform expert knowledge work by developing an AI system purpose-built for "expert intelligence" -- for reasoning and interacting with real-world information networks. The goal is to enable AI tools that work with experts to gain new insights and automate comprehensive knowledge work, addressing information overload faced by human experts.
Requirements
- Strong background in deep learning, large language models, and NLP techniques.
- Proficiency in Python and deep learning frameworks such as PyTorch or Transformers, and strong coding skills.
- Familiarity with retrieval-augmented generation, reasoning, LLM training and reinforcement learning techniques.
Responsibilities
- Formulate an ML problem from product requirements.
- Analyze existing ML systems for their limitations, and propose and validate novel methodologies to improve upon existing systems.
- Create and productionize cutting-edge research prototypes for knowledge work at scale.
- Build novel ML evaluation datasets that serve as crucial criteria for production feature rollouts.
- Drive impact across the entire ML lifecycle: from problem formulation and system analysis to data collection, benchmark development, model training, and production deployment.
- Advance our capabilities in Retrieval, ranking and RAG.
- Advance our capabilities in LLM post-training and reinforcement learning.
Other
- PhD or Master’s degree in Computer Science, Machine Learning, NLP, or a related field.
- A strong track record of first-author publications in top AI/NLP conferences (e.g., NeurIPS, ICML, ACL, EMNLP).
- 2+ years of experience in an industry applied ML research environment
- Put Users first.
- Win as a collective.
