Atoms
Senior Software Engineer - Machine Learning Infrastructure
$176K–$230K
San Francisco, CA +1 · Senior · Full-time · Posted Mar 3, 2026
- Location
- San Francisco, CA
San Francisco, California, United States - Experience
- 3+ years as a software engineer.
About the job
Build and maintain machine-learning and AI infrastructure that supports data scientists and engineers across the model lifecycle and enables effective use of GenAI technologies.
What you'll do
- Develop tools for data collection, preparation, training, deployment, and model serving.
- Build and maintain tools for using GenAI (LLM) technologies.
- Research machine-learning innovations and apply relevant insights to the team.
What they ask for
- 3+ years of experience as a software engineer.
- Proficiency in Python and Java.
- Familiarity with Azure and GCP cloud environments, and Docker and Kubernetes.
- Ability to work independently and make safe, efficient changes in large, complex systems.
Nice to have
- Background in data infrastructure, platform infrastructure, or ML infrastructure.
- Experience in real estate, food technology, or related industries.
Pay
$176,000 - $230,000 per year (base salary)
Tools
Python, Java, Azure, GCP, Docker, Kubernetes
AI focus
Develop infrastructure and tools for classical ML training and serving, and for effective use of GenAI (LLM) technologies.
Model-written summary · the original posting is authoritative