Research Engineer

Graphon AI Inc.; San Francisco (CA); On-site; USD 180,000 - 300,000; Full time

Benefits offered by this job

Meaningful equity

Comprehensive benefits

Competitive paid time off

Job summary

Graphon Labs is seeking a passionate ML/Graph Engineer to join the team in San Francisco. You will improve our graph and ML algorithms and help build core and customer features as we scale.

Ideal candidates have a degree in a related field, strong problem-solving skills, and familiarity with modern ML stacks and software fundamentals. The role offers a base salary within $180k–$300k, meaningful equity, and comprehensive benefits.

Qualifications

• Degree in a related field (undergrad/masters/PhD).
• High agency to pursue and solve problems you encounter.
• Right tool for the job mindset; enjoy team brainstorming.
• Familiarity with a modern ML stack; software fundamentals.

Responsibilities

• Improve our graph & ML algorithms.
• Build core and customer features.

Skills

Problem solving

Self-motivation

Team collaboration

ML stack familiarity

Education

Undergrad/Masters/Doctoral in related field

Tools

Version control

Networking basics

Job description

Graphon Labs is building the multimodal memory layer to enable easy search and analysis of documents, images, video, and audio. We do this by using our proprietary technology to automatically build a graph over your data that extracts out the key structure needed to deliver fast and accurate searches at inference time. Using graph analysis techniques based on the study of graphons , our system creates nodes and edges at a more abstract and powerful level of understanding to help link related information.

The Team

We are a lean, experienced team that values ownership, pragmatism, and technical excellence.

• Arbaaz Khan, CEO: ex-Amazon; PhD in Robotics and ML.
• Clark Zhang, CTO: ex-Meta; PhD in Robotics and ML.
• Deepak Mishra, COO: ex-VC; 10+ years of Enterprise Technology experience.

The Role

• Improve our graph + ML algorithms
• Build core & customer features

About You

• You have (or are about to have) an undergrad/masters/doctoral degree in a related field.
• High agency to pursue and solve problems you encounter.
• A 'right tool for the job' mindset. Loves brainstorming with the team to find the best fix.
• Familiarity with how a modern Machine Learning stack operates.
• Familiarity with standard software skills and tools (version control, basic networking principles, etc.)
• Base salary range: $180,000 - $300,000 (depending on experience)
• Meaningful equity with the opportunity to own a real stake in a category-defining company
• Comprehensive benefits, including health, dental, vision, matching 401k, and competitive paid time off