Applied ML Engineer — Production AI (CV/Graph/Symbolic)

Applied Machine Learning Engineer

Company Description

Fast-growing AI startup

Job Description

Join a high-velocity team focused on solving complex technical challenges through applied machine learning. You will develop and deploy models that bridge the gap between theoretical research and production-grade products. This role offers the opportunity to work alongside intelligent problem solvers in a collaborative environment where cross-disciplinary expertise is highly valued.

Location

San Francisco, USA

Why this role is remarkable

• Work on cutting-edge applications involving computer vision, graph theory, and symbolic AI in a fast-paced environment.
• Join a well-funded organization backed by top-tier VCs at a pivotal stage of their product evolution.
• Benefit from a culture that values diverse backgrounds in math, physics, and science alongside traditional computer science.

What you will do

• Design and implement scalable machine learning models to solve real-world technical problems.
• Collaborate with engineering teams to integrate AI capabilities into production-ready software systems.
• Experiment with symbolic AI and graph theory to enhance the intelligence of existing platforms.

The ideal candidate

• Has zero to seven years of experience with a strong background in an early-stage startup environment.
• Possesses applied exposure to computer vision, graph theory, or symbolic AI frameworks.
• Holds a degree in a quantitative field such as Computer Science, Mathematics, Physics, or Engineering.

Required Skills

Machine Learning, Software Engineering, physics

Required Languages

English

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