over 1 year ago
Base Salary
$150k - $250k/yr
Responsibilities
- Evaluate and implement LLM-based knowledge graphs, advanced RAG approaches such as StructRAG, LLM agents, advances in NLP, multimodal transformers, and advanced information retrieval algorithms.
- Develop user-facing platform features such as learning from feedback, search personalization, and subject-matter-expert suggestions.
- Build a semantic and programmatically useful understanding of organizational priorities, projects, and people to improve answering capabilities.
- Own approaches from inception through validation and production code.
- Collaborate with the founders and Head of AI to shape product direction and AI/ML engineering strategy.
Requirements
- At least three years of AI/ML engineering experience building real-world applications.
- In-depth experience with PyTorch or TensorFlow, NLP models, and standard machine learning algorithms.
- Current knowledge of open-source and proprietary LLMs, RAG, and agent frameworks.
- Strong software engineering background with the ability to build backend features using web frameworks, ORMs, and relational databases.
- Excellent communication and collaboration skills.
- Familiarity with the full-stack TypeScript ecosystem, React, Next.js, Python, and Postgres is a bonus.
- Interest in writing technical blogs is a bonus.
Benefits
- In-person role based in San Francisco, California.
- Three-day in-person work trial is fully covered and compensated.