about 12 hours ago
Base Salary
$192k - $260k/yr
Responsibilities
- Design and evaluate information access and reasoning strategies.
- Prototype GenAI workflows for compliance objects.
- Explore ML and probabilistic approaches for various applications.
- Build and maintain evaluation frameworks and quality metrics.
- Implement and tune ranking and reranking systems.
- Run experiments to validate hypotheses and quantify improvements.
- Debug failure modes and build error taxonomies.
- Collaborate with engineering teams to productionize validated approaches.
- Stay current on applied research and bring innovations into the product.
Requirements
- 6+ years of experience in applied research, data science, or ML with a focus on NLP or information retrieval.
- 2+ years of hands-on experience with production AI/ML systems.
- Strong foundation in information retrieval and search relevance.
- Experience with RAG systems and retrieval optimization.
- Proficiency in evaluation methodology and statistical significance.
- Strong Python skills and experience with notebook-driven research workflows.
- Ability to communicate research findings to engineering teams.
- Bonus: Experience in compliance or document-heavy domains.
- Bonus: Publications in IR, NLP, or RAG evaluation.
Benefits
- Stock equity to share in the company's success.
- Up to 100% employer-paid premiums for medical, dental, and vision coverage.
- Comprehensive financial benefits including a 401(k) plan and life insurance.
- Paid Parental Leave and family-building benefits.
- Generous annual stipends for professional and personal development.
- Flexible vacation policy and paid holidays.