Senior Machine Learning Engineer

Atoms

Mountain View (CA)

On-site

USD 175,000 - 230,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, and vision insurance
401(k)
HSA
Discretionary vacation days
8 paid holidays

Job summary

Atoms is building Physical AI systems for real-world industries and is hiring a Machine Learning Engineer in Mountain View. You will work on state-of-the-art ML models, from LLMs to GNNs, and help deploy robust solutions in production for food and related sectors.

The role requires an advanced degree with 3+ years of experience, strong Python skills, and the ability to design scalable architectures. Equity and a negotiated bonus are part of the package.

Qualifications

  • Advanced degree required (PhD or Master) in CS/ML/Data Mining/Statistics or related field.
  • 3+ years of relevant experience preferred.
  • Expertise with ML models such as LLMs, GNNs, deep learning, or tree methods.
  • Proficiency in Python; familiarity with Java/Go.
  • Experience in data analysis and visualization.

Responsibilities

  • Leverage ML and statistical methods to address diverse challenges including AI agents and logistics.
  • Develop and deploy robust ML solutions in production.
  • Create onboarding codelabs, tools, and infrastructure for access to ML resources.
  • Collaborate with a team to enhance technology and innovation.
  • Drive architectural design and evolution of systems.

Skills

LLMs
GNN
Deep Learning
Logistic Regression
Gradient Boosting trees
Python
Java
Go
Data analysis
Visualization

Education

PhD or Master in CS/ML/Data Mining/Statistics or related field

Tools

Python
Java
Go

Job description

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 Atoms technological advancements

What we’re looking for

  • Advanced degree (PhD or Master) in Computer Science, Machine Learning, Data Mining, Statistics, or related technical field is required 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

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 Viewoffice. Atoms is a company driven by invention and continuous change - we are constantly reimagining our industries, building new products, and refining how we operate. We do our best work together. That’s why all of our office-based teams work onsite, five days a week.

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.
  • 401(k).
  • Health Savings Account (HSA)
  • Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
  • Discretionary vacation days
  • 8 paid holidays per year

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

Atoms accepts applications on an ongoing basis.

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

#LI-Onsite

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in Atoms’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during

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