Humana · 6 hours ago
Lead Machine Learning Engineer – Next Best Action (NBA) Platform
United States
Full-time
Remote
Senior Level, Lead/Staff
$129K/yr - $178K/yr
8+ years expHumana Inc. is committed to putting health first and is seeking a Lead Machine Learning Engineer to architect, develop, and manage machine learning systems for real-time decision-making. This role will focus on production machine learning engineering and involve the creation of ML pipelines and decision-time scoring logic to enhance operational effectiveness.
Health CareHealth InsuranceInsuranceVenture Capital
Responsibilities
Design and manage end-to-end machine learning systems, including:
Feature engineering and reuse strategies
Offline training pipelines
Online inference and scoring services
Model versioning, rollout, and rollback procedures
Ensure systems meet stringent requirements for latency, scalability, reliability, and correctness in real-time contexts
Define clear separation between model development, deployment, and downstream decision logic
Build and operationalize models such as:
Propensity or likelihood prediction
Uplift or incremental impact models
Engagement or responsiveness scoring
Design models to be composable, explainable, and robust for automated decision workflows
Collaborate with analytics and product teams to translate business objectives into measurable modeling outcomes
Apply AI-assisted and agentic approaches to boost ML engineering productivity, including:
Automated code generation and refactoring for pipelines and services
Feature exploration and validation
Intelligent experiment tracking and comparison
Enhanced debugging and root-cause analysis
Assess and adopt modern tools to accelerate experimentation, reduce manual overhead, and ensure reliable model operations
Focus on implementing practical, production-ready AI tools
Develop and sustain robust MLOps practices, including:
Continuous training and deployment pipelines
Online model monitoring for latency, drift, and stability
Safe rollout strategies (e.g., canary, shadow, phased releases)
Fallback mechanisms for model degradation or unavailability
Guarantee model outputs are traceable, reproducible, and auditable
Serve as the technical leader for ML engineering, establishing standards and best practices
Partner with software engineers, data engineers, and platform teams to ensure seamless integration of ML systems into production
Mentor machine learning engineers and contribute to the overall maturity of engineering teams
Influence architectural decisions to ensure testability, observability, and resilience
Qualification
Required
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, Model training and evaluation, Real-time or near-real-time inference systems
Strong software engineering skills in Python, Java, or similar languages
Practical experience with AI-assisted development tools to streamline ML workflows
Preferred
Experience with personalization, recommendation, or decisioning platforms
Familiarity with distributed systems and event-driven architectures
Experience deploying models in regulated or high-reliability settings
Knowledge of model explainability and fairness methodologies
Benefits
Medical
Dental and vision benefits
401(k) retirement savings plan
Time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave)
Short-term and long-term disability
Life insurance
Company
Humana
Humana is a health insurance provider for individuals, families, and businesses.
10001+ employees
H1B Sponsorship
Humana has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (282)
2024 (246)
2023 (284)
2022 (274)
2021 (212)
2020 (84)
Funding
Current Stage
Public CompanyTotal Funding
$13.07B2025-05-30Post Ipo Debt· $5B
2025-03-03Post Ipo Debt· $1.25B
2024-03-11Post Ipo Debt· $2.25B
Leadership Team
Jim Rechtin
CEO and President
Colin Drylie
Senior Vice President, Experience Transformation
Recent News
2026-01-13
2026-01-09
2026-01-07
Company data provided by crunchbase