Machine Learning Engineer Internship - New York, NY

Atoms • New York, NY

3d • Onsite

About The Position

Atoms is building the machines that power the next era of progress. Over the last decade, software has transformed the digital world. But the physical world, where food is made, minerals are mined, goods are moved, and industries are run, remains far less intelligent, far less efficient, and far more constrained. We’re changing that. Atoms builds Physical AI— real-world robots for the industries that move civilization forward, starting with food, mining, and transport. Our systems are designed to understand, predict, and control the real world with precision, turning complex physical operations into something more reliable, more scalable, and more productive. This work requires more than robotics. It requires deep integration across hardware, software, AI, operations, manufacturing, and real estate. We don’t just build machines in a lab. We deploy them into real environments, operate them, learn from them, and improve them until they work at scale. We are roboticists, engineers, operators, and builders. We believe the next great technology companies will not only transform information, but the physical systems that shape everyday life. If you want to work on hard problems with real-world impact, join us.

Requirements

• Actively pursuing a PhD degree in Machine Learning, AI, or a related technical field
• Graduating in 2026 or 2027
• Leading researcher in Machine Learning and Gen AI
• A problem-solver who thrives in tackling diverse technical challenges and demonstrates a clear track record of growth and learning
• A take-charge individual who exhibits ownership and takes pride in writing clean, maintainable, and fun code
• Have advanced programming experience in one or more application or systems languages (Go, Python, Ruby, Java, C/C++, etc.)

Responsibilities

• A robust and adaptable LLM evaluation framework that enables continuous performance monitoring and identification of areas for improvement.
• Development of advanced RL techniques tailored to Atoms LLM applications, leading to more accurate, reliable, and user-satisfying conversational experiences.
• Accelerated development and deployment of next-generation LLM features for Atoms LLMs applications.
• Published research findings and open-sourced code (where appropriate) contributing to the broader AI community and enhancing Atoms reputation.

What This Job Offers

• Career Level: Intern
• Education Level: Ph.D. or professional degree