Job description

ABOUT THE ROLE 💥 YOUR IMPACT Onyx is a popular open source project with hundreds of thousands of users. The project has over 10K stars and over 3K community members across Slack and Discord (these stats may already be out of date when you read this). You’ll have the opportunity to build in the open and your work may be used by millions of people in the future. 💡 ABOUT THE ROLE Onyx is the knowledge layer on top of LLMs. Help us improve our agent and knowledge retrieval capabilities to push the frontier on unsolved problems like multi-hop QA, needle in haystack, aggregation type RAG, etc. This is an in-person role based in San Francisco, CA. You’ll be: - Evaluating and implementing LLM based knowledge graphs, advanced RAG approaches (StructRAG, etc.), LLM agents, advances in NLP, multi-modal transformers, advanced information retrieval algorithms - Working on users’ experience with the platform through features like learn from feedback, search personalization, SME suggestion, etc. - Build a semantic and programmatically useful understanding of the organization's priorities, projects, and people as additional signals to the answering capabilities of Onyx - Own the approach from inception to validation to production code - Collaborate with Founders and the Head of AI to shape and influence the direction of the product and contribute to the AI/ML engineering strategy 🚀 YOU’LL BE SUCCESSFUL IF YOU… - Have 3+ years of AI/ML engineering experience building real-world applications - have in-depth experience with PyTorch/Tensorflow, NLP models, and standard ML algorithms - Are up date with new advances such as open source/proprietary LLMs, RAG and agent-frameworks - Strong software engineering background and capable of building backend features with web frameworks, ORMs and relational DBs - Excellent communication skills and ability to collaborate with full stack roles ⭐ BONUS POINTS - Familiar with the full stack Typescript/React/NextJS, Python, Postgres - Interested in writing technical blogs to establish Onyx is leader in the space ABOUT THE INTERVIEW - Non-technical Phone Screen (30 mins) - ML Interview (45 mins) - Practical Coding Interview (30 mins) - Work Trial (3 days in person, fully covered + compensated) ABOUT ONYX Onyx onyx.app is the open source github.com GenAI platform connected to your company's docs, apps, and people. We ingest and sync from all sources of information (Google Drive, Slack, GitHub, Confluence, Salesforce, etc.) to provide a centralized place for users to ask about anything. Imagine your most knowledgeable co-workers, all-rolled into one, and available 24/7! We believe that every modern team will be adopting knowledge enhanced GenAI within the next 5 years and it is our goal to bring this technology to all the teams of the world. We raised a $10M seed coming out of YCombinator, backed by Khosla Ventures (early/seed backers of OpenAI, Doordash, GitLab, etc.) and First Round Capital (Notion, Square, Roblox, etc.). Our customers include of the best teams in the world like Netflix, Ramp, Applied Intuition and dozens of others. We also have incredible open source users like Roku, Zendesk, L3Harris and more.

Requirements

Must-haves

Evaluating and implementing LLM based knowledge graphs, advanced RAG approaches (StructRAG, etc.), LLM agents, advances in NLP, multi-modal transformers, advanced information retrieval algorithms
Working on users’ experience with the platform through features like learn from feedback, search personalization, SME suggestion, etc.
Build a semantic and programmatically useful understanding of the organization's priorities, projects, and people as additional signals to the answering capabilities of Onyx
Own the approach from inception to validation to production code
Collaborate with Founders and the Head of AI to shape and influence the direction of the product and contribute to the AI/ML engineering strategy
Have 3+ years of AI/ML engineering experience building real-world applications
have in-depth experience with PyTorch/Tensorflow, NLP models, and standard ML algorithms
Are up date with new advances such as open source/proprietary LLMs, RAG and agent-frameworks
Strong software engineering background and capable of building backend features with web frameworks, ORMs and relational DBs
Excellent communication skills and ability to collaborate with full stack roles

Nice-to-haves

Familiar with the full stack Typescript/React/NextJS, Python, Postgres
Interested in writing technical blogs to establish Onyx is leader in the space

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

llmaimltypescriptreactnextjspythonpostgres

Platform: ashby
Effort: quick