Staff Security Machine Learning Engineer

Designing systems that utilize data-oriented programming languages and visualization software to explore, analyze, and interpret large volumes of data in various forms and solve complex business problems

• 7+ years of coding experience using Python with expertise in solution and software development
• 7+ years in DevOps/MLOps and a deep understanding of software engineering principles
• 7+ years of experience in TensorFlow and PyTorch, with additional cloud platform familiarity
• Bachelor degree from accredited university or equivalent work experience (HS diploma + 4 years relevant experience)

• Proven ability to manage the production lifecycle of an MLOps pipeline
• Deep understanding of model deployment and serving
• Experience with orchestration and containerization methodologies
• Familiarity with model serving tools such as MLflow, Databricks Serving, SageMaker, etc. (TensorFlow Serving is a plus)
• Experience implementing CI/CD pipelines for ML projects
• Competence in developing automation pipelines (e.g., using GitHub Actions)
• Proficiency in Infrastructure as Code tools (e.g., Terraform, Databricks Asset Bundles, etc)
• Strong understanding of monitoring and observability, including logging tools (e.g., Prometheus, Grafana) and drift detection

• Affordable medical plan options
• 401(k) plan with matching company contributions
• Employee stock purchase plan
• No-cost wellness screenings
• Tobacco cessation and weight management programs
• Confidential counseling and financial coaching
• Paid time off
• Flexible work schedules
• Family leave
• Dependent care resources
• Colleague assistance programs
• Tuition assistance
• Retiree medical access