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Avathon

AI-driven cybersecurity and operational optimization.

Associate AI Engineer - Physical AI

Applied Machine LearningConfirmed live in the last 24 hours
Full-timePleasanton, CA, USAIn-person

About the Job

Requirements

  • A bachelor's degree in computer science from a leading computer science and engineering university, with graduation in 2027.
  • A cumulative undergraduate GPA of 3.6 or higher.
  • No prior full-time professional experience is required.
  • A strong foundation in algorithms, data structures, software engineering, probability, statistics, linear algebra, and computer science fundamentals.
  • Strong programming ability, particularly in Python, and the ability to write high-quality, maintainable software.
  • A strong understanding of machine learning and modern AI fundamentals, developed through coursework, research, internships, independent projects, or hands-on experimentation.
  • Familiarity or demonstrated interest in areas such as large language models, deep learning, agentic AI, computer vision, natural language processing, reinforcement learning, optimization, knowledge graphs, robotics, or autonomous systems.
  • Familiarity with modern AI and machine learning frameworks and the ability to rapidly learn new models, tools, and technical concepts.
  • Evidence of building 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 readiness to work in an environment that expects technical ambition, speed, experimentation, and execution.

Responsibilities

  • Develop intelligent systems that understand complex operating environments, reason over real-world context, predict outcomes, and determine appropriate actions.
  • Develop and evaluate agentic systems capable of reasoning, planning, using tools, interacting with enterprise and operational systems, and executing multi-step workflows.
  • Build models and algorithms for prediction, anomaly detection, forecasting, classification, optimization, recommendation, and decision intelligence.
  • Use Avathon’s computational knowledge graph to represent relationships across assets, processes, materials, suppliers, operations, and complex industrial systems.
  • Apply large language models, vision models, time-series models, retrieval, and multimodal techniques to sensor signals, documents, images, video, engineering information, and enterprise data.
  • Help develop autonomous decision systems that progress from prediction toward reasoning, prescription, optimization, planning, and autonomous action.
  • Turn algorithms, models, and prototypes into reliable, scalable AI systems capable of operating on large and complex real-world datasets.
  • Prototype and evaluate emerging AI architectures, models, and techniques, identifying where they can benefit Avathon’s platform.
  • Address real-world challenges involving scale, latency, reliability, model performance, explainability, and deployment where AI outputs may influence operational decisions.
  • Work alongside Product and Forward Engineering teams on customer and platform problems, taking on meaningful technical ownership early in the career.
  • Work alongside AI researchers, applied scientists, and engineers on technical problems spanning agentic AI, machine learning, reasoning, knowledge graphs, multimodal AI, time-series intelligence, optimization, and autonomous decision-making.

About the Company

Avathon

AI-driven cybersecurity and operational optimization.

Avathon develops AI-powered software and services to improve security, efficiency, and productivity across industries such as manufacturing, energy, finance, and defense. Its solutions protect digital assets, optimize operations, and help organizations make data-driven decisions, including cognitive endpoint protection and NLP-driven document analysis. The company offers software licenses or subscriptions plus professional services to implement customized AI solutions like anomaly detection, predictive maintenance, and fleet management. Avathon differentiates itself through interdisciplinary collaboration and applying AI to real-world workflows, aiming to help large organizations secure data, unlock insights, and drive growth in the AI-enabled economy.

Company size
201-500
Company stage
Series D
Total funding
$286.6M
Headquarters
Pleasanton, CA
Founded
2013

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