Requirements
- Over five years of experience in applied research, data science, or machine learning, with a focus on natural language processing, information retrieval, or knowledge systems
- At least two years of hands-on experience developing or contributing to production AI/ML systems
- Solid understanding of information retrieval, including dense and sparse retrieval, embedding models, and search relevance
- Experience with retrieval-augmented generation (RAG) systems, including chunking strategies, vector databases, and retrieval optimization
- Proficiency in evaluation methodologies, such as metrics design, golden dataset creation, A/B testing, and statistical significance
- Strong Python skills and familiarity with notebook-driven research workflows
- Experience in communicating research findings to engineering teams and translating insights into actionable improvements
Nice to Have
- Experience in compliance, legal, or document-heavy domains
- Publications or contributions in information retrieval, natural language processing, or RAG evaluation
Benefits
- Stock equity
- Up to 100% employer-paid premiums for medical, dental, and vision coverage for employees and their dependents, along with comprehensive wellness benefits and healthcare concierge services
- A comprehensive suite of financial benefits, including a 401(k) plan, company-paid life and disability insurance, tax-advantaged spending accounts, and a range of discounted voluntary offerings
- Paid Parental Leave policy, after six months of employment. Employees also receive access to fertility and family-building benefits and dedicated leave specialists
- Generous annual stipends for both professional and personal development, empowering you to invest in your continued growth. You’ll also have access to a wide range of internal learning opportunities
- Flexible vacation policy, paid holidays, and other perks to recharge
Compensation
This role will receive a competitive base salary, benefits, and stock, typically in the form of Restricted Stock Units (RSUs).
Work Arrangement
Hybrid — Bay Area
Team
Team size: 600+
Other
This role will receive a competitive base salary, benefits, and stock, typically in the form of Restricted Stock Units (RSUs).
Not specified