Job Description
Associate Director, AI/ML
📍 Boston, MA | 💼 Full-Time |
Are you an experienced AI/ML professional ready to lead innovation at scale? This senior role offers the opportunity to shape the strategic application of artificial intelligence across research and development, driving smarter, faster, and more ethical data-driven decisions.
About the Role
As Associate Director of AI/ML, you’ll guide the design, implementation, and adoption of machine learning platforms across diverse scientific and operational areas. You’ll collaborate with data science teams, domain experts, and senior stakeholders to identify impactful use cases, translate business challenges into scalable solutions, and champion best practices in ethical and responsible AI.
Key Responsibilities
- Lead AI/ML strategy and execution across R&D and digital initiatives.
- Translate business needs into actionable machine learning projects.
- Partner cross-functionally to implement and optimize ML models in production.
- Mentor and grow AI/ML and data science talent across the organization.
- Evaluate and integrate emerging AI/ML trends and external partnerships.
- Ensure all AI/ML applications align with ethical and governance standards.
About You
- Advanced degree (M.S. or Ph.D.) in Computer Science, Machine Learning, Statistics, or related field.
- 6+ years of experience developing and deploying end-to-end ML systems in production.
- Expertise in at least two AI domains (e.g., NLP, computer vision, reinforcement learning, multimodal learning).
- Strong grasp of deep learning architectures (Transformers, CNNs, RNNs) and classical ML models.
- Hands-on experience with cloud-based ML pipelines, CI/CD, and MLOps frameworks.
- Exceptional communication and stakeholder engagement skills.
- Curious, entrepreneurial mindset with a passion for continuous learning.
- Experience in healthcare, life sciences, or large-scale global environments is a plus.
Why Apply
Join a world-class AI/ML team driving innovation in data-driven research and development. This is an opportunity to combine technical depth with leadership impact — where your work directly contributes to groundbreaking progress and smarter science.