Machine Learning Engineer/Senior Machine Learning Engineer - Devops, AI for Drug Discovery

Genentech • New York City, NY

8h

About The Position

Roche’s AI for Drug Discovery group (Prescient Design) is seeking a Machine Learning Engineer - DevOps to build and maintain scalable, reliable infrastructure supporting machine learning initiatives. The role is part of Genentech Research and Early Development AI Drug Development (gRED AIDD), within the Computational Sciences Center of Excellence. It is user-facing and calls for a proactive, delivery-focused approach while adhering to corporate standards and best practices.

The position involves designing, implementing, and maintaining ML infrastructure on AWS; automating operations; managing CI/CD pipelines and Git repositories; and working closely with ML engineers and data scientists. The role also includes troubleshooting, applying security practices, documenting infrastructure, and identifying opportunities for improvement. A senior-level version of the role includes leading significant technical solutions, mentoring junior engineers, and driving technical alignment across teams.

The Machine Learning Engineer level requires a BS/MS and 2–3 years of industry experience; the Senior Machine Learning Engineer level requires a BS/MS and 3–5 years. Preferred experience includes MLOps platforms and tools, CI/CD pipelines for ML workflows, and monitoring and logging tools. Relocation benefits are not available. The posting states that a discretionary annual bonus may be available based on individual and Company performance, and that the position qualifies for benefits detailed at a linked benefits page.

Requirements

• BS/MS degree.
• 2–3 years of industry experience for Machine Learning Engineer - DevOps; 3–5 years for Senior Machine Learning Engineer - DevOps.
• Experience designing, deploying, and managing infrastructure on AWS, including services such as EC2, S3, RDS, EKS, and SageMaker.
• 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 such as Python or Bash for automation.
• Excellent problem-solving skills and ability to debug complex issues.
• Strong communication and interpersonal skills for cross-functional collaboration and user-facing interactions.
• Ability to take initiative, anticipate needs, and drive projects to completion.
• Ability to thrive in a fast-paced environment, adapt to evolving requirements, and adhere to corporate guidelines.
• Ability to write clean code with little syntax or convention feedback.
• Application of software engineering best practices, including linting automation, unit testing, documentation, and CI/CD.
• Familiarity with modern machine learning methods.
• Knowledge of and experience with high-performance computing, distributed systems, and cloud computing.

Nice To Haves

• Experience with MLOps platforms and tools.
• Familiarity with CI/CD pipelines for ML workflows.
• Knowledge of monitoring and logging tools such as Prometheus, Grafana, or the ELK stack.

Responsibilities

• Design, implement, and maintain scalable and reliable ML infrastructure on AWS.
• Automate deployment, monitoring, alerting, and operational tasks using tools such as Terraform and Helm.
• Manage and optimize CI/CD pipelines and Git repositories for ML projects, supporting version control, collaboration, and deployment.
• Collaborate with ML engineers and data scientists to understand 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 independently to team initiatives and deliver assigned outputs.
• Proactively identify issues and gaps and propose improvements.
• At the senior level, lead the architecture and delivery of significant technical solutions.
• At the senior level, mentor junior engineers and drive technical alignment and influence across teams.
• At the senior level, lead technical projects from conception to completion and deliver high-quality, scalable, reliable software.

Benefits

• The position qualifies for benefits detailed at the link provided in the posting.
• A discretionary annual bonus may be available based on individual and Company performance.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level