About the role
As a Member of Technical Staff specializing in Research, you will work on cutting-edge AI research projects, contributing to advancements in Contextual RAG pipelines, including retrieval systems and language models, alignment and end-to-end training methods.
What you'll do
- 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.
- Read and stay up to date with literature, latest advancements, and best practices
- 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
What we're seeking
- Bachelor's degree in Computer Science, Software Engineering, or a related field. Master's or PhD preferred.
- 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
- Strong problem-solving skills and ability to thrive in a fast-paced research environment
Salary Range for California Based Applicants: $150,000 - $300,000 + equity + benefits (actual compensation will be determined based on experience, location, and other factors permitted by law).
Contextual AI provides equal employment opportunities to all qualified individuals without regard to race, color, religion, sex, gender identity, sexual orientation, pregnancy, age, national origin, physical or mental disability, military or veteran status, genetic information, or any other protected classification. Equal employment opportunity includes but is not limited to, hiring, training, promotion, demotion, transfer, leaves of absence, and termination. Contextual AI takes allegations of discrimination, harassment, and retaliation seriously, and will promptly investigate when such behavior is reported.
