about 1 year ago
San Francisco, CA, USAMid Level / Senior
Base Salary
$200k - $300k/yr
Responsibilities
- Participate in the entire product development lifecycle, including architecture, coding, testing, and deploying.
- Research and apply best practices in Knowledge Graph, embeddings, vector and graph RAG search, fine-tuning, and model optimization.
- Develop and maintain backend systems including API services, databases, and server-side logic.
- Optimize tech stack and applications for maximum precision and speed.
- Write clean, efficient, and well-documented code, following industry best practices.
- Stay updated with emerging technologies in web development and make recommendations for adopting new tools and practices.
Requirements
- Advanced degree in Machine Learning, Computer Science, Data Science, Engineering, or equivalent work experience.
- Minimum of 2 years of professional experience in developing ML data pipelines.
- Experience with text embeddings, RAG systems, and similarity search.
- Familiar with Entity and Relationship recognition models.
- Skilled at prompt engineering.
- Ability to implement backend systems in Python and/or Node.js.
- Ability to evaluate tradeoffs and propose appropriate storage solutions (SQL, NoSQL, Vector DBs, Graph databases).
- Enjoy hard problems and open-ended assignments.
- Use data to make decisions and experiment around hard problems.
Benefits
- Generous equity package.
- Competitive salary and benefits.
- 401(k) retirement account.
- Access to the best equipment and tools, including a spec'd out MacBook and development tools.
- Flexible work arrangements with in-office or hybrid options.