Director of AI and ML, Spring Health

• We are seeking an experienced and visionary Director of AI and ML to lead the development of our AI and Machine Learning (ML) platform
• This is a strategic role for an individual with deep technical expertise, proven leadership experience, and the ability to collaborate across departments to drive AI innovation
• Proven Leadership: 7+ years of experience in building and leading machine learning, data science, or AI teams, with a track record of delivering successful AI-driven solutions
• Technical Expertise: Strong knowledge of machine learning frameworks, AI technologies, and modern data engineering tools. Experience with platforms like TensorFlow, PyTorch, Kubernetes, and cloud platforms such as AWS, GCP, or Azure
• Platform Development: Proven experience in architecting and deploying scalable ML platforms, building data pipelines, and managing infrastructure for AI/ML solutions
• Business Acumen: Ability to bridge the gap between AI/ML capabilities and business goals, ensuring the technology meets the needs of the product teams and the broader business
• Management Skills: Strong leadership and management experience, with the ability to manage, coach, and develop high-performing teams
• Collaboration: Demonstrated ability to collaborate across technical and non-technical teams, fostering partnerships to deliver AI solutions that solve real-world problems
• Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field
• Communication Skills: Excellent written and verbal communication skills, with the ability to explain complex AI concepts to stakeholders at all levels
• Experience in healthcare or mental health technology is not required but preferred

Desirable

• Reporting to the CTO, you will be in a high-visibility, high-impact role as a Director of AI and ML over a team focused on leading the development of our AI and Machine Learning (ML) platform as well as delivering AI/ML solutions
• Build and Lead AI Foundations Platform:
• Design, architect, and build a robust, scalable machine learning platform that will be the foundation for AI-powered solutions across the company
• Ensure the platform is user-friendly, modular, and efficient, allowing various product teams to easily leverage AI and ML technologies
• Develop Data Products:
• Lead efforts to create data products that transform raw data into actionable insights for teams across the company
• Influence the data engineering team to ensure data pipelines are optimized for scalability and accuracy, supporting the rapid deployment of AI solutions
• Oversee Machine Learning and Data Science Teams:
• Manage and mentor a team of machine learning engineers and data scientists, fostering a culture of collaboration, innovation, and continuous learning
• Set clear goals and expectations, ensuring teams are aligned with the company’s AI strategy and product roadmap
• Drive AI and ML Strategy:
• Partner with leadership and product teams to understand business needs and prioritize AI and ML initiatives that drive value for the organization
• Work with your Data Products Product Management peer to define a clear AI/ML strategy, aligning technical capabilities with business objectives
• Platform and Infrastructure Development:
• Ensure the AI platform is designed with scalability, security, and robustness in mind
• Partner with DevOps and IT teams to ensure the platform is integrated with broader company infrastructure and supports CI/CD pipelines for ML models
• AI Innovation and Best Practices:
• Keep the organization at the forefront of AI innovation by adopting and implementing best practices, staying up-to-date with the latest advancements in AI and machine learning technologies
• Promote a culture of experimentation, testing new ideas and approaches to continuously improve AI-driven products
• Cross-functional Collaboration:
• Collaborate with product managers, software engineers, and business stakeholders to ensure the successful integration of AI/ML technologies into products and services
• Act as the subject-matter expert on AI and ML platforms, providing guidance and support to product teams on how to leverage these technologies effectively
• Monitor Performance and Drive Continuous Improvement:
• Track platform performance, data product success, and model accuracy, using metrics to drive continuous improvement
• Implement feedback loops to refine AI models and ensure they meet or exceed business expectations
• Build out a data quality framework to ensure model accuracy over time
• Ship the core AI and ML framework and deliver on an iterative roadmap
• Build the models which are driving critical business capabilities and deploy them as a service
• Partner with feature teams to implement the AI capabilities to meet our joint business goals
• This role will focus on building the foundation that enables product teams across the company to leverage AI-driven solutions efficiently and effectively
• As the Director of AI and ML, you will lead a talented team of machine learning engineers and data scientists, developing data products and scalable AI platforms that power our business's future