Senior Software Engineer, ML Operations

Role Highlights:

• Take ownership of an ML deployment system spanning multiple production environments.
• Improve, expand, and streamline existing deployment pipelines to support faster deployments and automated model retraining.
• Collaborate with Data Scientists to understand model requirements.

To Be Successful:

• At least five years of professional engineering experience in a relevant field.
• Experience in operationalization of Data Science projects (MLOps) on AWS.
• Experience designing and operating container-based cloud infrastructure with Terraform.

Employee Benefits:

• Pre-tax and post-tax retirement savings plans with a competitive company matching program.
• Generous paid time-off plans including vacation, personal/sick time, paid short-term and long-term disability leaves, paid parental leave, and paid company holidays.
• Multiple health care plans to choose from, including dental and vision options.