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Genentech
Machine Learning Engineer/Senior Machine Learning Engineer - Devops, AI for Drug Discovery
Genentech
New York•On-site•2-5 Yrs•2 hours ago
Job description
Overview
The Position A healthier future.
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.
- Lead the architecture and delivery of significant technical solutions
- Mentor junior engineers and drive technical alignment and influence across teams
- Design, implement, and maintain scalable and reliable ML infrastructure on AWS.
- Demonstrated ability to lead technical projects from conception to completion and deliver high-quality, scalable, and reliable software." to "Who you are
- 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.
- 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.
Qualifications
- 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.
- 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.
- 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.
- Familiarity with CI/CD pipelines for ML workflows.
- Knowledge of monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack)
Benefits
- #ComputationCoE
- #tech4lifeComputationalScience
- #tech4lifeAI
- Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
- If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.