Associate AI Engineer, Physical AI

Avathon•Pleasanton, CA

7d•$110,000 - $130,000

About The Position

Avathon is seeking exceptional new computer science graduates to join its AI Engineering team as Associate AI Engineers. This role involves working alongside AI researchers, applied scientists, and engineers to build the intelligence behind Avathon’s Physical AI platform. The position focuses on tackling challenging technical problems in areas such as agentic AI, machine learning, reasoning, knowledge graphs, multimodal AI, time-series intelligence, optimization, and autonomous decision-making. The opportunity is ideal for individuals who are passionate about building software, conducting research, and pushing technological boundaries beyond classroom learning.

Requirements

Bachelor’s degree in computer science from a leading computer science and engineering university; graduating in 2027
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

Responsibilities

Build physical AI: Develop intelligent systems that can understand complex operating environments, reason over real-world context, predict what happens next, and determine what actions should be taken.
Build AI agents: Develop and evaluate agentic systems capable of reasoning, planning, using tools, interacting with enterprise and operational systems, and executing multi-step workflows.
Advance machine intelligence: Build models and algorithms across prediction, anomaly detection, forecasting, classification, optimization, recommendation, and decision intelligence.
Build knowledge & reasoning systems: Work with Avathon’s computational knowledge graph to give AI an understanding of relationships across assets, processes, materials, suppliers, operations, and complex industrial systems.
Explore multimodal AI: Apply LLMs, vision models, time-series models, retrieval, and multimodal techniques across sensor signals, documents, images, video, engineering information, and enterprise data.
Develop autonomous decision systems: Help move AI beyond prediction toward reasoning, prescription, optimization, planning, and increasingly autonomous action.
Take AI from research to production: Turn promising algorithms, models, and prototypes into reliable, scalable AI systems capable of operating against large and complex real-world datasets.
Experiment at the frontier: Rapidly prototype and evaluate emerging AI architectures, models, and techniques and determine where they can create meaningful advantages within Avathon’s platform.
Engineer for the real world: Solve challenges involving scale, latency, reliability, model performance, explainability, and deployment where AI outputs can influence real operational decisions.
Own real problems early: Work alongside Product and Forward Engineering teams on difficult customer and platform problems, with meaningful technical ownership from the start of your career.