Software Engineer, ML Platform (AI)

TL;DR

Software Engineer, ML Platform (AI): Building and scaling machine learning and AI platform infrastructure with an accent on MLOps, automated pipelines, model deployment, and observability. Focus on designing reliable ML lifecycle services, developing CI/CD and testing patterns, and solving complex infrastructure challenges for high-scale AI systems.

Location: Hybrid work in Denver, San Francisco, or New York City, with office attendance approximately 2–3 days per week or more depending on the role. The San Francisco office expectation includes the San Francisco and San Jose metropolitan areas. Approved non-office work requires a secure, reliable, and consistent internet connection.

Salary: $160,000–$200,000 per year in Denver; $190,000–$240,000 per year in San Francisco and New York.

Company

hirify.global provides payroll, health insurance, 401(k), and HR services for more than 500,000 small businesses.

What you will do

• Build core components of the ML and AI platform roadmap, including MLOps solutions and automated model lifecycle pipelines.
• Develop and maintain frameworks for machine learning model development, deployment, monitoring, debugging, and retraining.
• Build infrastructure supporting machine learning services and API-enabled applications with defined business requirements and SLAs.
• Create deployment patterns using CI/CD pipelines and automated testing.
• Collaborate with ML/AI engineers and application owners to deliver scalable, reliable infrastructure.
• Use AI tools in engineering workflows and evaluate emerging AI technologies across teams.

Requirements

• At least 4 years of software engineering experience with Python, Ruby, or Java.
• Experience designing and developing infrastructure and platform services for the machine learning lifecycle.
• Experience with feature stores, model development and deployment, and observability tools.
• Experience with at least one major cloud platform; AWS is preferred.
• Curiosity and experimentation with emerging AI frameworks and AI-assisted development tools.
• Ability to work in the required hybrid office arrangement.

Culture & Benefits

• Full-time employees receive competitive base pay, benefits, and equity in the form of RSUs.
• AI tools and AI-native engineering practices are integrated into everyday work.
• Work alongside teams supporting small businesses across payroll, benefits, and HR.
• Inclusive workplace with equal employment opportunity and reasonable accommodation support.