Gusto, Inc.
Software Engineer, ML Platform
- Confirmed live in the last 24 hours
- $160k–$240k
- Mid level
- Full-time
- Denver, CO - Hybrid; New York, NY - Hybrid; San Francisco, CA - Hybrid
- 5+ yrs exp
- Added 1 month ago
About this role
Gusto is seeking a Machine Learning Platform Engineer to build and scale their ML/AI platform, working closely with AI/ML engineers to ensure reliability and effectiveness. This role focuses on developing MLOps solutions, enhancing frameworks for model development, and collaborating with stakeholders to build scalable infrastructure. A strong background in data pipelines and a passion for leveraging AI tools are essential.
What you'll do
- Build core components of the ML/AI Platform, including MLOps solutions.
- Develop and maintain frameworks for machine learning model development and deployment.
- Collaborate with stakeholders to define requirements and SLAs.
- Maintain and enhance infrastructure supporting machine learning services.
- Develop and implement CI/CD pipelines for model deployment.
- Apply AI tools to improve engineering workflows and identify opportunities for AI integration.
What they're looking for
- Python
- Ruby
- Java
- MLOps
- Data Pipelines
- Cloud Platforms (AWS)
- Machine Learning
Benefits
- Competitive base pay
- Equity (RSUs)
- Health Insurance
- 401(k)
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Gusto, Inc.
- Industry
- Technology & Software
Likely interview questions
- Describe your experience designing and developing infrastructure for the machine learning lifecycle.
- How have you used AI tools in your software engineering workflow?