Senior ML Engineer for Physical AI & Industrial Automation

Atoms; Mountain View (CA); On-site; USD 175,000 - 230,000; Full time

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 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.