ML PhD Software Engineer Internship

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 development and deployment of next-generation LLM features for ATOMS’s LLMs applications.
• Published research findings and open-sourced code (where appropriate) contributing to the broader AI community and enhancing ATOMS's reputation. 

Why join us

• Growing market: You’ll be focused on an $80 billion market that’s projected to reach at least $500 billion by 2030 in the US alone. 
• Changing the restaurant industry: You’ll be part of a team that helps restaurants succeed in online food delivery. 
• Collaborative environment: You will receive support and guidance from experienced colleagues and managers, helping you to learn, grow and achieve your goals, and you’ll work closely with other teams to ensure our customer’s success.
• World class talent - you will work with a class of highly skilled, motivated, and experienced engineers that you can learn and grow together.

How to apply 

Please submit your resume and make sure you have your LinkedIn profile, GPA and relevant courses. Thanks!

What else you need to know

This role can be based in NYC, Seattle, WA, Los Angeles, CA or Mountain View, CA. We believe that people do their best work when they are together. As a company, we’re in the marketplace of ideas and innovation. When you’re constantly innovating, changing how an industry works, inventing new products and processes - and we are doing all these things - we believe we’re better as a team in person. That’s why all of our teams (except for our field-based roles) are now working from one of our office locations 5 days a week. Looking forward to sharing more about a Career of Substance at ATOMS!

Job location -  in-person, NYC, Seattle WA, USA, Los Angeles, CA or  Mountain View.

Compensation - 

$70 per hour. 

Application Timeline: Getting a head start on your job search? So are we! We’re building our candidate pipeline now for our upcoming Winter/Summer internship positions. Feel free to submit your resume today, we’ll be reviewing applications over the coming weeks and will reach out directly if your background is a match when interviews begin in the Fall.