Machine Learning Engineer

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. 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.
• Building a semantic and programmatically useful understanding of the organization's priorities, projects, and people as additional signals to the answering capabilities of Onyx
• Owning the approach from inception to validation to production code
• Collaborating 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 to date with new advances such as open source/proprietary LLMs, RAG and agent-frameworks
• Have a strong software engineering background and are capable of building backend features with web frameworks, ORMs and relational DBs
• Have excellent communication skills and the 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 as a leader in the space