Sr. Manager, R&D – AI Engineering

WHAT YOU'LL DO:

• Lead and scale a high-performing team of AI researchers, instilling a culture of innovation, scientific excellence, and business impact.
• Define and drive the AI R&D strategy, aligning research priorities with IMO’s broader product vision and enterprise goals.
• Oversee the full research lifecycle, from ideation and hypothesis formation to experimentation, validation, and readiness for production deployment.
• Serve as a strategic thought partner to Product, Engineering, and Enterprise Architecture leadership, identifying and framing high-value AI research initiatives.
• Ensure research translation, guiding the seamless integration of novel AI technologies into real-world products and platforms.
• Establish and evolve the AI Center of Excellence, setting best practices for experimentation, reproducibility, model evaluation, and responsible AI.
• Advance the state of AI at IMO Health, staying ahead of industry trends in machine learning, LLMs, generative AI, and healthcare AI, and infusing those insights into the roadmap.
• Champion responsible AI principles, embedding fairness, explainability, and accountability into research processes and model evaluation frameworks.
• Represent AI R&D at the executive level, contributing to cross-functional strategy, investment decisions, and technical leadership forums.
• Mentor, hire, and develop top-tier AI talent, while fostering an inclusive, collaborative, and intellectually curious team environment.

WHAT YOU'LL NEED:

• PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 10+ years of experience in AI/ML R&D, with a proven record of delivering applied innovation and leading through ambiguity.
• 5+ years of experience managing researchers or applied scientists in a high-impact setting, ideally within a scaling tech or healthcare company.
• Deep expertise in modern machine learning techniques, including LLMs, generative models, and neural architectures.
• Advanced proficiency with Python and key ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face).
• Experience with MLOps best practices and modern cloud platforms (AWS, Azure, etc.).
• Exceptional communication skills with the ability to influence across senior technical and non-technical stakeholders.

NICE TO HAVE:

• Experience applying AI in healthcare or life sciences.
• A publication record or track record of contributions to the AI research community.
• Familiarity with regulatory, privacy, or ethical considerations in healthcare AI.