Tech Stack
Job Description, Responsibilities & Requirements
About the Position
Senior Machine Learning Engineer
Mountain View, CA
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.
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.
Responsibilities
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.
Requirements
- Bachelors degree required
- 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
We Offer
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:
Benefits are subject to change at the company's discretion.
About the Company
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.
Ready to join us as we serve those who serve others?