Senior Manager, AI/ML Engineering

Summary

Join Spring Health, a leading mental healthcare provider, as a Senior Manager of AI/ML Engineering. Reporting to the Director, AI/ML Engineering, you will lead a team of data scientists, building and deploying sophisticated algorithms for cost forecasting and ROI measurement. This role requires strong technical skills, leadership experience, and a passion for data-driven impact. You will collaborate with cross-functional teams to integrate AI/ML technologies into products and services, ensuring successful product launches and continuous improvement. Spring Health offers a competitive salary and benefits package, including health insurance, retirement benefits, paid time off, and professional development opportunities. The company is committed to building a diverse and inclusive workplace.

Requirements

• Proficiency in both Python and R and experience deploying both in production
• Strong analytical and problem-solving skills, with a deep understanding of statistical modeling and machine learning techniques
• 5+ years of experience iteratively building machine learning models, evaluating their performance, and deploying them in production
• 3+ years of experience in building and leading machine learning, data science, or AI teams, with a track record of delivering successful AI-driven solutions
• Strong leadership and management experience, with the ability to manage, coach, and develop high-performing teams
• Demonstrated ability to collaborate across technical and non-technical teams, fostering partnerships to deliver AI solutions that solve real-world problems
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field

Responsibilities

• Lead efforts to design, develop, and deploy machine learning models and algorithms in production
• Collaborate with your product partner to understand business needs and translate them into AI/ML solutions
• Manage and mentor a team of data scientists, fostering a culture of collaboration, innovation, and continuous learning
• Take ownership of technical feasibility and quality by establishing and championing strong development norms and playing a hands-on role in execution
• Recruit and make hiring decisions for open positions on your team
• Collaborate with product managers, machine learning engineers, software engineers, and business stakeholders to ensure the successful integration of AI/ML technologies into products and services
• Track data product success, both in traditional evaluation metrics and impact on business outcomes, using data to drive continuous improvement
• Implement feedback loops to refine ML models and ensure they meet or exceed business expectations
• Launch high impact data products that both delight customers and drive business operations
• Maintain and enhance strong engineering practices that make data products scalable, maintainable, and adaptable to evolving business needs
• Elevate the standards of technical excellence and delivery while fostering an environment that values autonomy and purpose
• High accountability and clear communication of timelines to the business, with escalation and mitigation strategies when those timelines are at-risk
• Close collaboration with your product partner(s) to understand business objectives, market demands, and the product strategy that guides our development
• Mentor and grow the talent of your team, ensuring they have the resources and guidance to excel in their roles

Preferred Qualifications

• Experience with time-series analysis, forecasting, or simulation methods
• Exposure to problems in risk management, such as credit policy or portfolio management
• Hands-on experience with MLOps practices and tools to support model lifecycle management
• Familiarity with analytics engineering tools like dbt and ML platforms such as AWS Sagemaker

Benefits

• Health, Dental, Vision benefits start on your first day at Spring
• You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type
• Employer sponsored 401(k) match of up to 2% for retirement planning
• A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents
• We offer competitive paid time off policies including vacation, sick leave and company holidays
• At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents
• Access to Noom, a weight management program—based in psychology, that’s tailored to your unique needs and goals
• Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses
• Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription
• Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care
• Up to $1,000 Professional Development Reimbursement a year
• $200 per year donation matching to support your favorite causes