Machine Learning Engineer

About The Company
Humana Inc. (NYSE: HUM) is a leading health and well-being company dedicated to putting health first for its members, employees, and communities. With a comprehensive approach that includes insurance services and healthcare solutions through its CenterWell healthcare services, Humana strives to facilitate better health outcomes and enhance quality of life for diverse populations. Serving millions of individuals across various programs such as Medicare, Medicaid, military service personnel, and families, Humana is committed to innovation, inclusivity, and delivering personalized, accessible care. The company's mission centers on making healthcare simpler, more affordable, and more compassionate, leveraging cutting-edge technology and a caring community to achieve these goals.
About The Role
We are seeking a highly skilled Lead Machine Learning Engineer to join our dynamic team. In this pivotal role, you will architect, develop, and oversee sophisticated machine learning systems that enable real-time, personalized decision-making across digital and assisted channels. Your expertise will drive the creation of scalable ML pipelines, online inference services, and decision-time scoring logic, utilizing AI-assisted and agentic solutions to improve development velocity, model quality, and operational efficiency. This role emphasizes production machine learning engineering, requiring a focus on designing robust, low-latency systems that meet high standards of reliability, explainability, and scalability. As a technical leader, you will collaborate closely with cross-functional teams to translate business objectives into measurable ML outcomes, foster best practices, and mentor engineering talent to elevate the organization’s machine learning capabilities.
Qualifications

• 8+ years of experience in machine learning engineering, applied ML, or data-driven platform development
• 3+ years in a technical lead or senior ML engineering capacity
• Deep expertise in feature engineering and data pipelines
• Strong background in model training and evaluation
• Practical experience with real-time or near-real-time inference systems
• Proficiency in software engineering languages such as Python, Java, or similar
• Experience with AI-assisted development tools to streamline ML workflows
• Knowledge of distributed systems and event-driven architectures (preferred)
• Experience deploying models in regulated or high-reliability environments (preferred)
• Understanding of model explainability and fairness methodologies (preferred)

Responsibilities

• Design and manage end-to-end machine learning systems, including feature engineering, offline training pipelines, and online inference services
• Implement model versioning, rollout, and rollback procedures to ensure system stability and reliability
• Build and operationalize models such as propensity, uplift, and engagement scoring models, ensuring they are interpretable, robust, and composable
• Collaborate with analytics and product teams to convert business goals into actionable ML models and measurable outcomes
• Apply AI-assisted and agentic approaches to improve ML engineering productivity through automated code generation, feature exploration, and experiment tracking
• Develop and maintain robust MLOps practices, including continuous training, deployment pipelines, and online monitoring for model drift and latency
• Establish safe deployment strategies such as canary and shadow releases, and implement fallback mechanisms for model degradation
• Serve as a technical leader by establishing standards, best practices, and ensuring seamless integration of ML systems into production environments
• Mentor team members, foster a culture of innovation, and contribute to the overall maturity of the ML engineering team

Benefits

• Competitive salary range of $129,300 - $177,800 per year, commensurate with experience and location
• Bonuses based on individual and company performance
• Comprehensive health benefits including medical, dental, and vision coverage
• Retirement savings plan (401(k)) with company contributions
• Paid time off, holidays, volunteer days, and parental leave
• Short-term and long-term disability insurance, life insurance
• Opportunities for professional development and career growth
• Flexible work arrangements with hybrid or remote options in select locations

Equal Opportunity
Humana is an equal opportunity employer committed to creating an inclusive environment for all employees and applicants. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability, or protected veteran status. We actively promote diversity and affirmative action initiatives in accordance with applicable laws, including Section 503 of the Rehabilitation Act and VEVRAA. All employment decisions are based solely on valid job requirements, and we provide accommodations and support to ensure a fair hiring process. Our commitment extends to fostering a workplace where everyone feels valued, respected, and empowered to contribute to our mission of making healthcare better for all.