Gusto

Staff Machine Learning Engineer, Platform

Gusto

full-time

Posted on:

Origin:  • 🇺🇸 United States • California, Colorado, New York, Washington

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Salary

💰 $157,000 - $235,000 per year

Job Level

Lead

Tech Stack

AWSCloudJavaPythonRuby

About the role

  • Work closely with applied science practitioners and engineers to rapidly build, deploy, and iterate high-quality ML infrastructure solutions at scale, ensuring reliability and effectiveness.
  • Drive core components of the ML Platform technical roadmap to design and build MLOps solutions with automated pipelines and standardized processes to build, deploy, run, monitor, debug, and retrain ML models.
  • Develop, maintain, and enhance frameworks for machine learning model development and deployment.
  • Collaborate with ML model builders and application owners to determine business requirements and SLAs for API-enabled services.
  • Develop, maintain, and enhance infrastructure supporting machine learning services.
  • Support the development of new patterns for deployment of machine learning models with CI/CD pipelines and automated testing.

Requirements

  • At least 10 years of software engineering experience (Python, Ruby or Java).
  • Demonstrated experience architecting and developing infrastructure and platform services for machine learning lifecycle, such as feature stores, model development, deployment, and observability tools and solutions.
  • Experience with at least one of the major cloud platforms (AWS preferred but not required).
  • Experience with MLOps tooling such as KubeFlow, AWS Sagemaker, MlFlow, or similar.
  • Strong grasp of ML and data infrastructure.
  • Passionate about developing software, developing and documenting optimal processes, working with data, and understanding the needs of end users.