ML PhD Software Engineer Internship
Pubblicato il 02-10-2026 - ATOMS Careers page in Casalecchio di Reno
Who we are
Our Engineering team builds the technology that powers our platform and enables restaurants to thrive in the delivery economy. Engineers work across software, systems, and infrastructure to create reliable, scalable products that support millions of orders and complex operational workflows. This team combines deep technical expertise with a strong product mindset to build systems that are both powerful and easy to use.
From food production and delivery to mining and transport, AtomsTOMS develops robotics, software, and infrastructure that automate how things are produced and moved through the physical world. Our systems combine robotics and intelligent software to sense, predict, and act in real-world environments, making earth’s essential industries more productive, reliable, and scalable.
Join Atoms, we build progress machines for the physical world .
Who You Are:
Actively pursuing a PhD degree in Machine Learning, AI, or a related technical field
- Graduating in 2027 or 2028
- 3.7 GPA Minimum
- 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.)
What you’ll do
As an engineering intern at Atoms, you’ll be an integral part of building out the state-of-the-art intelligent machine for the food industry. Your role will encompass a diverse range of responsibilities, including:
- 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’s LLM applications, leading to more accurate, reliable, and user-satisfying conversational experiences.
- Accelerated developm