Associate Director, AI/ML Engineering

Primary Responsibilities

Lead the design, development, deployment, monitoring, and maintenance of reusable software components that can be integrated into reliable/scalable AI/ML workflows, tools, and applications.
Collaborate in a highly-matrix environment to identify research questions, scope data requirements, and develop appropriate AI/ML solutions.
Provide tactical and strategic technical support for AI/ML Researchers and Data Scientists.
Stay up-to-date with the latest advancements in AI/ML research and operations to proactively propose innovative approaches aligned with industry standards that enhance our internal capabilities.

Required Experience And Skills

• Education requirements: One Of The Following Credentials PhD in Computer Science, Physics, Electrical Engineering, Biomedical Engineering, Bioinformatics, Computational Biology, Genetics/Genomics, or a related STEM field with 4+ years post-graduate academic medical or industry experience
  Masters with 7+ years of experience, or
  Bachelors with 11+ years of experience
• Experience & Skills
  Candidates must be an Engineer with a passion to focus relentlessly on the enablement of their teammates with best-in-class tools and pipelines in a fast-paced industry environment.
  Candidates must have excellent communication/interpersonal skills and a team-focused collaborative mindset to provide technical support to code-heavy AI/ML Engineers and Data Scientists and to collaborate more broadly in a multi-disciplinary department.
  Candidate must be a self-starter and be able to lead projects independently.
  Candidate must have experience with Python, Torch, AWS, MLFlow, Docker, GitHub, and GitHub Actions CI/CD workflows.
  Candidate must have experience building/deploying/scaling novel AI/ML pipelines, particularly transformer-based Foundation Models and representation learning to support downstream tasks.
  Candidate must have experience with the full SDLC of maintaining Python Packages and Docker images following modern DevSecOps best practices.
  Willingness to learn from others and to teach others
  Excellent communication skills and ability to work collaboratively in multi-disciplinary team
  Interest in life sciences problems and how agentic Co-scientist environments can accelerate discovery
• Experience with multi-omics and imaging data is nice to have
  Experience with Claude Code, Databricks, and GCP is nice to have

Preferred Skills

• AWS
• Databricks Platform
• Google Cloud Platform (GCP) for Machine Learning
• Imaging Analysis
• Omics

Pay, Benefits & Schedule

The salary range for this role is $159,600.00 - $251,200.00 This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.

We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits.