The company is looking to advance its Contextual RAG pipelines, including retrieval systems and language models, alignment and end-to-end training methods through cutting-edge AI research projects.
Requirements
- Strong software engineering fundamentals and proven track record of building complex systems
- Strong understanding of fundamental machine learning concepts, and practical experience in language modeling, retrieval, large-scale training, or evaluation.
- Research experience (academic or industry) is a strong plus, including familiarity with experimental design, analysis, and research methodology
Responsibilities
- Drive research projects in areas such as language modeling, retrieval, alignment, retrieval augmented generation, end-to-end training, evaluation, etc.
- Design and implement scalable infrastructure and tooling to enable efficient and effective research and development of models and systems.
- Contribute to the full research pipeline from ideation to experimentation, analysis, and deployment
- Publish research papers with novel contributions to state-of-the-art research
Other
- Bachelor's degree in Computer Science, Software Engineering, or a related field. Master's or PhD preferred.
- Strong problem-solving skills and ability to thrive in a fast-paced research environment
