Associate AI Engineer, Physical AI

As an Associate AI Engineer, you will join Avathon's AI Engineering team and work alongside AI researchers, applied scientists, and engineers to build the intelligence behind our Physical AI platform. You will work on hard technical problems spanning agentic AI, machine learning, reasoning, knowledge graphs, multimodal AI, time-series intelligence, optimization, and autonomous decision-making.

What You Will Do

Build physical AI, develop AI agents, advance machine intelligence, build knowledge & reasoning systems, explore multimodal AI, develop autonomous decision systems, take AI from research to production, and engineer for the real world.

Why It Might Be a Fit

You will have high ownership and a desire to work in an environment where technical ambition, speed, experimentation, and execution are expected. You will develop a powerful combination of AI depth, software engineering rigor, systems thinking, product judgment, and understanding of complex physical operations.

Requirements

• Bachelor's degree in computer science from a leading computer science and engineering university
• Strong academic achievement, with a cumulative undergraduate GPA of 3.6 or higher required
• No prior full-time professional experience required
• Exceptional foundation in algorithms, data structures, software engineering, probability, statistics, linear algebra, and computer science fundamentals
• Strong programming ability, particularly in Python, with the ability to write high-quality, maintainable software
• Strong understanding of machine learning and modern AI fundamentals, developed through coursework, research, internships, independent projects, or hands-on experimentation
• Experience or demonstrated interest in areas such as LLMs, deep learning, agentic AI, computer vision, NLP, reinforcement learning, optimization, knowledge graphs, robotics, or autonomous systems
• Familiarity with modern AI/ML frameworks and a demonstrated ability to rapidly learn new models, tools, and technical concepts
• Evidence that you build beyond the classroom through research, technically ambitious personal projects, open-source contributions, hackathons, competitive programming, startups, or other engineering work
• Intellectual curiosity about how AI can interact with and ultimately reason about the physical world
• High ownership and a desire to work in an environment where technical ambition, speed, experimentation, and execution are expected

Benefits

• California base salary range: $110,000 – $130,000 USD (based on experience)
• Equity in the form of stock options
• Comprehensive health, dental, and vision coverage
• 401(k) participation
• Generous PTO and company holidays
• Ongoing learning and development opportunities