Senior Machine Learning Engineer
Builds AI-driven robotics systems for physical-world automation (food, mining, transport) by designing and deploying ML models (LLMs, GNNs, deep learning) for real-world control, prediction, and optimization in production environments.
- Compensation
- $175K–$230K / yr
- Location
- Mountain View, CA
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Full time
- Experience
- Not specified
- Category
- Ml / AI
- Posted
Skills
Must have
- 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
Full 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 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
- 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.