---
title: 'Machine Learning Engineer Intern at Atoms'
canonical: 'https://feeny.ai/job/machine-learning-engineer-intern-atoms-san-francisco-1x839vad7z1r'
type: 'job'
last_seen: '2026-10-15'
---

# Machine Learning Engineer Intern at Atoms

- **Company:** Atoms
- **Location:** San Francisco, CA
- **Posted:** 2026-10-05
- **Last confirmed live:** 2026-10-15
- **Apply:** https://job-boards.greenhouse.io/cssmerge/jobs/8869106002

## Job description

## 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 an ML Intern on our team, you will help bridge the gap between high-level AI research and real-world physical actuation for our next-generation autonomous transport platforms. Working alongside senior engineers, you will contribute directly to production-grade models, real-time edge pipelines, and multi-sensor data systems that power our physical machines.

- Collaborate with research engineers to prototype, evaluate, and test emerging Machine Learning and Deep Learning models for trajectory planning and autonomous behavior.
- Help design and evaluate multimodal systems that integrate raw multi-sensor data (Cameras, LiDAR, Radar) to improve spatial-temporal perception.
- Assist in developing interactive world models and simulation tools to re-simulate real-world driving logs and analyze vehicle trajectories.
- Profile and optimize inference pipelines to help run complex models under low latency constraints on vehicle edge hardware.
- Work with data engineering workflows to identify, curate, and structure rare, complex edge cases and long-tail scenarios from physical operations.
- Partner with validation and QA teams to run model releases through simulated scenarios to catch performance regressions and track model behavior.

## What we’re looking for

- Currently pursuing a BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, Data Science, or a related technical field.
- Strong foundation in deep learning concepts and experience with modern frameworks like PyTorch or JAX (through coursework, research, or prior internships).
- Hands-on programming experience in Python; familiarity with C++ is a plus.
- Academic coursework, project experience, or research in one or more relevant domains: Computer Vision, Spatial-Temporal Modeling, Reinforcement Learning, Model Optimization, Model Evaluation, or Data Engineering.
- Familiarity with robotics data structures or multi-sensor processing (Cameras, LiDAR, or Radar) is highly preferred.
- A passion for solving complex, messy real-world engineering problems and deploying AI into physical systems.

## 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 San Francisco 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. We do our best work together. That’s why all of our office-based teams work onsite, five days a week.

Program Dates: Our internship is a 12-weeks program. Cohort sessions run as follows:

- Winter 2027: January – April
- Summer 2027: Late May – September

The base salary range for this role is $70.00 per hour.

Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications.

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

#LI-Onsite

## About Atoms

## Company Overview
- **One-liner**: Atoms builds physical automation systems—robotics, AI, software, and infrastructure—for mining, transport, and food industries to automate the physical world.
- **Entity Type**: Private (formerly City Storage Systems; rebranded from CloudKitchens/ProFood parent)
- **Headquarters**: Los Angeles, California, United States
- **Founded**: Rebranded as Atoms in March 2026; predecessor City Storage Systems founded earlier (~2018)
- **Founders**: Travis Kalanick (CEO)

## Core Business
- Primary industry: Physical AI, Robotics, Automation Machinery Manufacturing, Industrial Infrastructure
- Target customers: Mining/quarry operators, transportation & logistics companies, food service brands and kitchens (B2B, heavy industrial)
- Mission or purpose statement: “We build progress machines.” / “The constraint on human progress is our ability to automate the physical world.”

## Products & Services
- **Atoms Mining**: Autonomous haulage systems for mines and quarries designed to improve productivity, safety, and efficiency in complex industrial environments.
- **Atoms Transport**: Wheelbase for robots — autonomous delivery and logistics systems for moving goods. Includes the acquired Pronto AI technology (acquisition completed April 2026).
- **Atoms Food (ProFood)**: Robotics for better food. Automated kitchen systems that deliver consistent, affordable meals at scale; kitchen infrastructure platforms (bringing orders, delivery, operations into one platform); food real estate; Lab37 (an operating system for food facilities); and a forthcoming “built” meals brand.
- **Lab37**: The operating system/software layer that connects and orchestrates Atoms’ physical automation across domains.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Total Funding – Not publicly disclosed; previously raised significant capital as City Storage Systems/CloudKitchens (estimated at over $1B in prior rounds); 414 employees on LinkedIn as of mid-2026
- **Notable Investors/Partners**: Travis Kalanick (founder/CEO, previously co-founded Uber); partners include mining/quarry operators, food brands (specific names not public)
- **Growth Signals**: 414 employees (+13.2% monthly growth); operates in 24 countries; 26 active job postings (+160% monthly); recent acquisition of Pronto AI (April 2026); rebranding from City Storage Systems to Atoms (March 2026) signals strategic consolidation and pivot; hiring across robotics, AI, software, hardware, operations globally

## Competitive Advantages
- **Cross-stack vertical integration**: Controls sensors, compute, software, manufacturing, operations, real estate, energy, and infrastructure — a rare “full-stack” approach to physical AI.
- **Founder advantage**: Led by Travis Kalanick (Uber co-founder) who has deep experience scaling category-defining companies and attracting top engineering/operations talent.
- **Real-world deployment**: Robots with “real jobs” — not lab demos — deployed in working mines, kitchens, and transport systems today.
- **Engineering culture**: Emphasis on “cross-stack competence,” ownership, and solving problems “most companies won’t attempt.”
- **Global footprint**: Presence in 24 countries allows rapid deployment and operations at scale.

## Strategic Focus
- Consolidating formerly separate brands (CloudKitchens, ProFood, Pronto AI) under one unified “Atoms” identity to create a single physical AI platform
- Expanding autonomous mining haulage into more quarries and mines globally
- Scaling food automation from kitchen robotics to end-to-end food infrastructure (real estate, ordering, delivery, operations)
- Growing AI, ML, and autonomy capabilities (hiring Senior Software Engineer - ML Infrastructure, Backend Infrastructure, Robotics Engineer)
- International expansion with dedicated regional roles (APAC, LATAM, Europe)

## Why Work Here
- **High ownership**: “Take ownership early, and contribute from day one” — interns and new hires work on live products, not side projects.
- **Hard problems**: Solving physical-world automation challenges that most companies won’t attempt — mining, logistics, food production at scale.
- **Compensation**: “Outsized rewards for outsized performance” — competitive compensation, healthcare, benefits, and PTO.
- **Culture**: “Builders” and “hardcore engineers” who have scaled category-defining companies — a relentless, high-expectation environment focused on excellence.
- **Work policy**: Mix of in-office roles (Mountain View, CA; Los Angeles, CA; New York, NY; Austin, TX) and international locations (Vilnius, LTU; Makati, PH; Bogotá, COL; São Paulo, BRA). Remote/hybrid policy not explicitly stated but many roles list specific city locations.
- **Tech stack**: Modern — Python, TypeScript, Go, Java, Kubernetes, Docker, PostgreSQL, Redis, GraphQL, gRPC, Bazel, Google Cloud, NVIDIA, dbt, Looker, Airflow.
- **Team composition**: 25% of employees in technical roles (154 people); strong presence of HR, legal, finance, and operations supporting global scale; talent sourced from CloudKitchens, Amazon, Uber, Google, ProFood Properties, City Storage Systems.

## Sources
1. [atoms.co](https://atoms.co/)
2. [atoms.co/careers](https://atoms.co/careers)
3. [atoms.co/openroles](https://atoms.co/openroles)
4. [LinkedIn – Atoms](https://www.linkedin.com/company/atomsco)
5. [Greenhouse – Atoms Jobs](http://job-boards.greenhouse.io/cssmerge)

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