Hybrid AI/ML Engineering Lead

MSD; Cambridge (MA); On-site; USD 160,000 - 251,000; Full time

Job summary

MSD is seeking an Associate Director of AI/ML Engineering to lead design and deployment of scalable AI/ML workflows, collaborating with computational biologists, data scientists, and software engineers. You will drive reusable components and pipelines while aligning with state-of-the-art research.

You will mentor teammates, manage projects independently, and stay current with AI/ML advancements to accelerate therapeutic discovery and target validation across a cross-functional team.

Qualifications

• PhD in Computer Science or a related STEM field with 4+ years post-graduate academic medical or industry experience
• Masters with 7+ years of experience
• Bachelors with 11+ years of experience

Responsibilities

• Lead the design, development, deployment, monitoring, and maintenance of AI/ML software components and pipelines
• Collaborate in a matrix environment to identify research questions, scope data requirements, and develop AI/ML solutions
• Provide tactical and strategic technical support for AI/ML Researchers and Data Scientists
• Stay up-to-date with AI/ML advancements and propose innovative approaches that align with industry standards

Skills

Python

Torch

AWS

MLFlow

Docker

GitHub

GitHub Actions CI/CD

Transformers

DevSecOps

Team collaboration

Education

PhD in Computer Science or related field

Masters with 7+ years of experience

Bachelors with 11+ years of experience

Tools

Databricks Platform

Google Cloud Platform (GCP)

CI/CD tooling

Job description

MSD is seeking an Associate Director of AI/ML Engineering to lead design and deployment of scalable AI/ML workflows, collaborating with computational biologists, data scientists, and software engineers. You will drive reusable components and pipelines while aligning with state-of-the-art research.

You will mentor teammates, manage projects independently, and stay current with AI/ML advancements to accelerate therapeutic discovery and target validation across a cross-functional team.