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

Roche • New York, NY

20d • $141,100 - $310,800

About The Position

Roche’s AI for Drug Discovery group (Prescient Design), within Genentech Research and Early Development AI Drug Development, is seeking ML infrastructure DevOps engineers to build and maintain scalable, reliable infrastructure supporting machine-learning initiatives. The role focuses on AWS infrastructure, deployment automation, CI/CD and Git repository management, security, and operational support, in collaboration with machine-learning engineers and data scientists. The posting describes both Machine Learning Engineer and Senior Machine Learning Engineer levels. Senior-level duties additionally include leading the architecture and delivery of significant technical solutions, mentoring junior engineers, driving technical alignment across teams, and leading technical projects from conception through completion.

Requirements

• For Machine Learning Engineer: BS/MS and 2–3 years of industry experience.
• For Senior Machine Learning Engineer: BS/MS and 3–5 years of industry experience.
• 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 and adapt to changing requirements while following 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 machine-learning workflows.
• Knowledge of monitoring and logging tools such as Prometheus, Grafana, or the ELK stack.

Responsibilities

• Design, implement, and maintain scalable and reliable machine-learning 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 machine-learning projects, supporting version control, collaboration, and deployment.
• Collaborate with machine-learning 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 machine-learning infrastructure.
• Document infrastructure designs, processes, and operational procedures.
• Contribute independently to team initiatives and deliver assigned outputs.
• Identify issues and gaps proactively and propose improvements.
• For the senior level, lead the architecture and delivery of significant technical solutions, mentor junior engineers, drive technical alignment across teams, and lead technical projects from conception to completion.

Benefits

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

What This Job Offers

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