Atoms
Senior Software Engineer - Machine Learning Infrastructure
$176K–$230K
San Francisco, CA +1 · Senior · Full-time · Posted Jun 9, 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, tools, and software that support data scientists and engineers across the model lifecycle and enable effective use of GenAI.
What you'll do
- Build and maintain tools for the classical ML lifecycle, including data collection, preparation, training, deployment, and model serving.
- Build and maintain software and tools for efficient use of GenAI (LLM) technologies.
- Research recent 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 deployment tools such as Docker and Kubernetes.
- Ability to work independently, take initiative, and make changes safely and efficiently 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
USD $176,000 - $230,000 per year (base salary)
Tools
Python, Java, Azure, GCP, Docker, Kubernetes
AI focus
Develop infrastructure and tools for classical machine learning workflows and GenAI (LLM) technologies; research and apply machine learning innovations.
Model-written summary · the original posting is authoritative