Senior Machine Learning Engineer - DevOps (Remote)

About the Role

We are looking for a Senior Machine Learning Engineer - DevOps to join our innovative team at Genentech. This remote position offers the opportunity to work on cutting-edge machine learning initiatives that are transforming drug discovery and development. You will play a crucial role in building and maintaining scalable infrastructure that powers our machine learning projects.

What You'll Do

• Design, implement, and maintain scalable and reliable ML infrastructure on AWS.
• Automate deployment, monitoring, alerting, and operational tasks using tools like Terraform and Helm.
• Manage and optimize CI/CD pipelines and Git repositories for ML projects, ensuring efficient version control to support collaboration and deployment.
• Collaborate closely with ML engineers and data scientists to understand their infrastructure needs and provide solutions.
• Troubleshoot and resolve infrastructure-related issues in a timely manner.
• Implement and enforce security best practices for ML infrastructure.
• Document infrastructure designs, processes, and operational procedures.
• Contribute to initiatives independently as part of a team, delivering assigned outputs.

Requirements

• BS/MS with 3-5 years of industry experience required.
• Proven experience in designing, deploying, and managing infrastructure on Amazon Web Services (AWS), including services such as EC2, S3, RDS, EKS, SageMaker, etc.
• Strong proficiency with Git and Git repository management.
• Hands-on experience with Terraform for infrastructure provisioning and management.
• Experience with Helm for deploying and managing applications on Kubernetes.
• Proficiency in scripting languages (e.g., Python, Bash) for automation.
• Excellent problem-solving skills and a strong ability to debug complex issues.
• Strong communication and interpersonal skills to effectively collaborate with cross-functional teams and user-facing interactions.

Nice to Have

• Experience with MLOps platforms and tools.
• Familiarity with CI/CD pipelines for ML workflows.
• Knowledge of monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack).

What We Offer

• Competitive salary range of $167,400 - $310,800 based on experience and location.
• Comprehensive relocation support for those interested in moving to the United States.
• Annual discretionary bonus based on individual and company performance.
• Health and wellness benefits, including medical, dental, and vision coverage.
• Flexible work environment with remote work options.
• Opportunities for professional development and growth within the company.
• A collaborative and innovative team culture focused on advancing science and healthcare.