Roche · 4 months ago
Machine Learning Engineer - Devops
South San Francisco
Full-time
Onsite
Mid Level
$148K/yr - $274K/yrRoche is a leader in healthcare innovation, focusing on advancing science and ensuring access to healthcare for all. They are seeking a highly motivated ML Infrastructure DevOps Engineer to design, implement, and maintain scalable ML infrastructure on AWS, while collaborating with ML engineers and data scientists to support their infrastructure needs.
BiotechnologyHealth CareHealth DiagnosticsOncologyPharmaceuticalPrecision Medicine
Responsibilities
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
Qualification
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
Preferred
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)
Benefits
Relocation benefits are available for this job posting
A discretionary annual bonus may be available based on individual and Company performance.
Company
Roche
Roche is a pharmaceutical and diagnostics company that offers medicines and diagnostic tests for various medical conditions and diseases.
Founded in 1896
10001+ employees
H1B Sponsorship
Roche has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (12)
2024 (9)
2023 (6)
2022 (2)
2021 (2)
Funding
Current Stage
Public CompanyTotal Funding
$7.79BKey Investors
SoftBankSCALE AINovartis
2021-08-04Post Ipo Equity· $5B
2020-12-07IPO
2020-05-06Post Ipo Equity· $0.5M
Leadership Team
Alan Hippe
Member of the Executive Board - Group CFO
Christine Bakan
Global Head and VP of Software and Bioinformatics, Next Generation Sequencing
Recent News
The Express Tribune
2026-01-11
2026-01-11
2026-01-11
Company data provided by crunchbase