Senior Machine Learning Engineer – DevOps, AI for Drug Discovery

Roche

Machine Learning Engineer responsible for designing and maintaining ML infrastructure on AWS at Roche. Key role in revolutionizing drug discovery using machine learning techniques with a close-knit team.

Posted 5/13/2026full-timeNew York City • California, New York • 🇺🇸 United StatesSenior💰 $141,100 - $262,100 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsEC2KubernetesPythonTerraform

About the role

Key responsibilities & impact

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
Proactively identify issues and gaps, proposing ideas and suggestions for improvements

Requirements

What you’ll need

BS/MS with 2-3 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
Demonstrated ability to take initiative, anticipate needs, and drive projects to completion
Ability to thrive in a fast-paced environment and adapt to evolving requirements while adhering to corporate guidelines
Ability to write clean code with little syntax/convention feedback
Applies software engineering best practices (linting automation, unit testing, documentation, CI/CD)
Familiarity with modern machine learning methods
Knowledge of and experience with high-performance computing, distributed systems, and cloud computing.

Benefits

Comp & perks

A discretionary annual bonus may be available based on individual and Company performance
Comprehensive healthcare plans
Professional development opportunities
Wellness programs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learning infrastructureAWSTerraformHelmCI/CD pipelinesGitPythonBashsecurity best practiceshigh-performance computing

Soft Skills

problem-solvingcommunicationinterpersonal skillsinitiativeproject managementadaptabilitycollaborationdebuggingattention to detailproactive identification of issues

Certifications

BSMS