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Software Engineer Machine Learning Infrastructure Jobs

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Software Engineer, Machine Learning

Sunnyvale, CA

$347K/yr

... machine learning infrastructure, modeling, and applied AI across the organization. You will ... Software Engineer, Machine Learning Responsibilities: * Define and own the technical architecture ...

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How much do software engineer machine learning infrastructure jobs pay per year?

As of Sep 8, 2026, the average yearly pay for software engineer machine learning infrastructure in the United States is $180,266.00, according to ZipRecruiter salary data. Most workers in this role earn between $173,000.00 and $205,000.00 per year, depending on experience, location, and employer.

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For Software Engineer Machine Learning Infrastructure jobs, the most frequently searched job titles are:

Senior Software Engineer - Machine Learning Infrastructure

San Francisco, CA • On-site

Atoms
Specialized Design Services • 11 - 50 employees
Learn more about Atomsexternal

$144K - $190K/yr

Full-time

Re-posted 22 days ago

Job description

Job Summary:
Atoms is building the machines that power the next era of progress. The Senior Software Engineer will work on the Machine Learning and AI Infrastructure team, focusing on providing infrastructure for data scientists and engineers to effectively use ML and AI technologies.
Responsibilities:
• Work on the Machine Learning and AI Infrastructure team, which is focused on providing infrastructure for data scientists and other engineers to use ML and AI technologies effectively.
• Build and maintain software and tools for classical ML stack which helps data scientists manage full training lifecycle from data collection, data preparation, training, deployment and model serving.
• Build and maintain software and tools which enable efficient and effective use of GenAI (LLM) technologies.
• Do background research on latest innovations in the Machine Learning space and bring back insights to apply within the team.
Qualifications:
Required:
• 3+ years of experience as a software engineer, and the ability to work independently in a fast-paced, dynamic environment, taking initiative to drive results.
• Enthusiastic about learning new codebases, and making changes in large complex systems safely and efficiently.
• Proficiency in Python and Java programming languages. We’re looking for engineers who are comfortable with multiple languages and have experience building scalable high-performance systems.
• Familiarity with Azure and GCP cloud environments, and deployment tools such as Docker and Kubernetes.
Preferred:
• Background in data infrastructure, platform infrastructure or ML infrastructure is preferred.
• Experience in real estate, food technology, or related industries is a bonus, though not required.
Company:
Atoms is a robotics startup that develops industrial robotics and physical AI systems to automate tasks across various industries. Founded in 2016, the company is headquartered in Los Angeles, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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