Machine Learning Engineer

Who We Are

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.

What You’ll Do

As a Machine Learning Engineer at Atoms, you'll be an integral part of building out the state‑of‑the‑art AI intelligence engine and applications for the food industry. Your role will encompass a diverse range of responsibilities, including:

• Leverage cutting‑edge machine learning and statistical methodologies, including large language models (LLMs), deep learning, and graph neural networks, to address diverse challenges, including areas such as AI agents, order logistics prediction and optimization, robotics automation, recommendation systems, knowledge graph building and mining, etc
• Develop and deploy robust, low‑maintenance applied machine learning solutions in a production environment.
• Create onboarding codelabs, tools, and infrastructure to democratize access to machine learning resources.
• Collaborative teamwork: work closely with a team to enhance and support technology.
• Innovation: Drive innovation within the team and support CSS’ technological advancements.

What We’re Looking For

• Bachelor’s degree required.
• Advanced degree (PhD or Master) in Computer Science, Machine Learning, Data Mining, Statistics, or related technical field with preferred 3+ years of relevant experience.
• Deep knowledge and experience with at least one ML model: LLMs, GNN, deep learning, logistic regression, gradient boosting trees, etc.
• Working knowledge in one or more of the following: generative AI, data mining, information retrieval, advanced statistics or natural language processing, computer vision, etc.
• High energy rapid software development, iterating and pivoting quickly.
• Strong ability to design and create long‑lasting architecture from scratch and evolve existing systems.
• Proficient in Python; familiarity with Java/Go.
• Experience with data analysis and visualization.
• Strong communication and presentation skills.

Why join us

At Atoms, you’ll work on one of the defining challenges of our time—bringing automation into the physical world to drive real, lasting impact. We exist to uncover valuable unknown truths and turn them into progress, which means constantly pushing beyond what’s known and building what doesn’t yet exist. The work is ambitious and often challenging, but it’s grounded in a shared sense of purpose and a team committed to seeing it through together. Our work only matters if it serves others, and we know that meaningful progress depends on the trust of the people we serve and the strength of our team—so we invest in both, creating an environment where you can do your best work and grow.

What Else You Need To Know

This role is based in our Mountain View office. Atoms is a company driven by invention and continuous change - we are constantly reimagining our industries, building new products, and refining how we operate. That’s why all of our office‑based teams work onsite, five days a week.

Compensation

The base salary range for this role is $175,000 - $230,000 per year. Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications. Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance‑based bonus.

Benefits Summary (USA Full‑Time Exempt Employees)

• Medical, dental, and vision insurance (multiple plans, incl. HSA options).
• Company‑paid life and disability insurance (short- and long‑term).
• Voluntary insurance: accident, critical illness, hospital indemnity.
• Optional supplemental life insurance for self, spouse, and children.
• Pet insurance discount.
• 401(k).
• Health Savings Account (HSA).
• Flexible Spending Accounts (Healthcare, Dependent Care, Commuter).
• Time Off policies:
  • Discretionary vacation days
  • 8 paid holidays per year
  • Paid sick time
  • Paid Bereavement leave
  • Paid Parental Leave

Benefits are subject to change at the company’s discretion.

Ready to join us as we serve those who serve others?

Ready to apply?