Atoms
AI & Machine LearningDirect Greenhouse career site

Senior Software Engineer - Machine Learning Infrastructure

Pay
$176,000 – $230,000 per year
Location
San Francisco, CA · On-site
Job type
Full-time
Level
Senior
Experience
3+ years
Listed
30 days ago

Skills & highlights for this role

  • machine learning infrastructure
  • Python
  • Java
  • Docker
  • Kubernetes

Also useful

  • Azure
  • GCP

Stated benefits & perks

  • Medical
  • Dental
  • Vision
  • 401k

What you'll do

  • Work on the Machine Learning and AI Infrastructure team, which is focused on providing infrastructure for data scientists and other engineers to use ML and AI technologies effectively.
  • Build and maintain software and tools for classical ML stack which helps data scientists manage full training lifecycle from data collection, data preparation, training, deployment and model serving.
  • Build and maintain software and tools which enable efficient and effective use of GenAI (LLM) technologies.
  • Do background research on latest innovations in the Machine Learning space and bring back insights to apply within the team.

What we're looking for

  • 3+ years of experience as a software engineer, and the ability to work independently in a fast-paced, dynamic environment, taking initiative to drive results.
  • Background in data infrastructure, platform infrastructure or ML infrastructure is preferred.
  • Enthusiastic about learning new codebases, and making changes in large complex systems safely and efficiently.
  • Proficiency in Python and Java programming languages. We're looking for engineers who are comfortable with multiple languages and have experience building scalable high-performance systems
  • Familiarity with Azure and GCP cloud environments, and deployment tools such as Docker and Kubernetes
  • Experience in real estate, food technology, or related industries is a bonus, though not required. A passion for solving complex problems in these sectors is key.

What else you need to know

This role is based in our San Francisco office location. As a company driven by innovation and continuous change, close collaboration is essential. We're constantly reimagining our industry, creating new products, and refining our processes, and 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 $176,000 - $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.
  • Atoms accepts applications on an ongoing basis.

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

#LI-Onsite

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.

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.

Read the original posting

From Atoms's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

Rolev.ai is a job search and application tool for US job seekers. For this Senior Software Engineer - Machine Learning Infrastructure role at Atoms, it shows how your resume fits, tailors your resume to the posting, and prepares the application for you to review.

  • See how you fit

    Openings from employer career sites are ranked against your whole resume—and searchable inside Claude, ChatGPT, and Cursor via Rolev.ai MCP.

  • Tailor without inventing

    Every change to your resume is checked against your original. New experience goes in only with your yes—zero fabricated claims.

  • Draft the full kit

    Tailored and Full Match resumes, role-specific cover letters, and answers to employer screening questions are prepared in seconds.

  • 1-Click Extension Autofill

    The Chrome extension fills the employer's Greenhouse, Workday, Lever, or Ashby form in 1 click. You review it and press Submit.

Common questions

What is the salary for the Senior Software Engineer - Machine Learning Infrastructure role at Atoms?

The Senior Software Engineer - Machine Learning Infrastructure posting at Atoms states compensation of $176,000 – $230,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Atoms's official career site.

Where is the Senior Software Engineer - Machine Learning Infrastructure job at Atoms located?

This Senior Software Engineer - Machine Learning Infrastructure position at Atoms is located in San Francisco, CA (On-site). Always check Atoms's application page for specific state eligibility or relocation policies.

What qualifications are required for Senior Software Engineer - Machine Learning Infrastructure at Atoms?

For the Senior Software Engineer - Machine Learning Infrastructure role, Atoms highlights 3+ years of relevant experience; experience with machine learning infrastructure, Python, Java, Docker, Kubernetes. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Senior Software Engineer - Machine Learning Infrastructure position at Atoms?

This listing links directly to Atoms's Greenhouse application page. You can apply directly on Atoms's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.