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 The project has over 10K stars and over 3K community members across Slack and Discord (these stats may already be out of date when you read this).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

Interview Process

• Non-technical Phone Screen (30 mins)
• ML Interview (45 mins)
• Practical Coding Interview (30 mins)
• Work Trial (3 days in person, fully covered + compensated)