Senior Machine Learning Engineer - DevOps (AI for Drug Discovery)

Location: New York City, New York, United States of America; also available in Boston, Massachusetts, United States of America.

Expected salary range: $141,100–$262,100 for the Machine Learning Engineer in New York; $160,100–$297,300 for the Senior Machine Learning Engineer in New York; California ranges are $147,600–$274,000 and $167,400–$310,800 respectively. Actual pay depends on experience, qualifications, geographic location, and other permitted factors. A discretionary annual bonus may be available.

Company

hirify.global and Roche use AI, data, and computational sciences to accelerate drug discovery and development and deliver transformative medicines.

What you will do

• Design, implement, and maintain scalable and reliable machine learning infrastructure on AWS.
• Automate deployment, monitoring, alerting, and operational tasks using Terraform and Helm.
• Manage and optimize CI/CD pipelines and Git repositories for machine learning projects.
• Collaborate with ML engineers and data scientists to understand infrastructure needs and provide solutions.
• Troubleshoot infrastructure issues, enforce security best practices, and document designs and operational procedures.
• Lead significant technical solutions and projects, mentor junior engineers, and drive technical alignment across teams.

Requirements

• BS or MS degree with 3–5 years of industry experience required for the Senior Machine Learning Engineer level.
• Proven experience designing, deploying, and managing AWS infrastructure, including EC2, S3, RDS, EKS, and SageMaker.
• Strong proficiency with Git and Git repository management.
• Hands-on experience with Terraform and experience with Helm for deploying and managing applications on Kubernetes.
• Proficiency in scripting languages such as Python or Bash for automation.
• Excellent problem-solving, debugging, communication, and interpersonal skills, including effective user-facing collaboration.
• Ability to take initiative, anticipate needs, drive projects to completion, work in a fast-paced environment, and adapt to evolving requirements while following corporate guidelines.
• Ability to write clean code with limited syntax or convention feedback and apply software engineering practices including linting automation, unit testing, documentation, and CI/CD.
• Familiarity with modern machine learning methods and knowledge of high-performance computing, distributed systems, and cloud computing.
• Ability to lead technical projects from conception to completion and deliver high-quality, scalable, and reliable software.

Nice to have

• 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.

Culture & Benefits

• Full-time regular employment with benefits.
• Work within hirify.global Research and Early Development and the Computational Sciences Center of Excellence.
• Corporate standards, security practices, and operational best practices are emphasized.
• A discretionary annual bonus may be available based on individual and company performance.
• Relocation benefits are not available for this job posting.