Lead Machine Learning Engineer

Introduction

Do you want to join an organization that invests in you as a Lead Machine Learning Engineer? At Work from Home, you come first. HCA Healthcare has committed up to $300 million in programs to support our incredible team members over the course of three years.

Benefits

Work from Home, offers a total rewards package that supports the health, life, career and retirement of our colleagues. The available plans and programs include:

• Comprehensive medical coverage that covers many common services at no cost or for a low copay. Plans include prescription drug and behavioral health coverage as well as free telemedicine services and free AirMed medical transportation.
• Additional options for dental and vision benefits, life and disability coverage, flexible spending accounts, supplemental health protection plans (accident, critical illness, hospital indemnity), auto and home insurance, identity theft protection, legal counseling, long-term care coverage, moving assistance, pet insurance and more.
• Free counseling services and resources for emotional, physical and financial wellbeing
• 401(k) Plan with a 100% match on 3% to 9% of pay (based on years of service)
• Employee Stock Purchase Plan with 10% off HCA Healthcare stock
• Family support through fertility and family building benefits with Progyny and adoption assistance.
• Referral services for child, elder and pet care, home and auto repair, event planning and more
• Consumer discounts through Abenity and Consumer Discounts
• Retirement readiness, rollover assistance services and preferred banking partnerships
• Education assistance (tuition, student loan, certification support, dependent scholarships)
• Colleague recognition program
• Time Away From Work Program (paid time off, paid family leave, long- and short-term disability coverage and leaves of absence)
• Employee Health Assistance Fund that offers free employee-only coverage to full-time and part-time colleagues based on income.

Learn more about Employee Benefits

Note: Eligibility for benefits may vary by location.

You contribute to our success. Every role has an impact on our patients' lives and you have the opportunity to make a difference. We are looking for a dedicated Lead Machine Learning Engineer like you to be a part of our team.

Job Summary and Qualifications

Leads technical implementation and adoption of AI Platform capabilities within an embedded product team while serving as a technical leader and mentor for other Machine Learning Engineers. Actively contributes to AI Platform and operations development through hands-on coding while establishing best practices, standardizing implementation patterns, and driving platform adoption. Advocates for platform solutions, ensuring consistent application of engineering standards, and accelerating AI delivery through effective platform usage and technical mentorship.

Major Responsibilities:

• Partner with platform and product managers to identify and prioritize foundational platform capabilities Informs the definition and implementation of technical standards and patterns across the platforms and product teams
• Collaborates on technical and architectural direction for critical platform components
• Participates in technical discussions and decision-making processes for key platform features
• Mentors embedded MLEs in engineering best practices and platform tooling and adoption
• Helps evaluate and make recommendations on technical approaches and new technologies
• Actively contribute to AI/MLOps development within assigned product team
• Drive adoption of platform capabilities through example and technical guidance
• Implement and validate platform patterns within pod
• Help identify and solve common challenges across pods
• Balance pod-specific needs with platform standardization
• Champion platform adoption within pod and across teams
• Provide technical guidance on platform usage and implementation
• Identify opportunities for leveraging platform capabilities
• Contribute to platform feature development and improvement
• Help validate and refine platform patterns through direct implementation
• Share knowledge and best practices across the MLE team
• Implement robust CI/CD pipelines for ML models
• Develop and maintain ML systems using platform capabilities
• Ensure proper testing and validation of ML systems
• Document technical decisions and implementation patterns
• Partner with platform team to improve developer experience
• Conduct thorough code reviews with focus on platform patterns
• Contribute to technical design discussions and architecture reviews

Education & Experience:

• Bachelor's degree - Required
• Master's degree - Preferred
• 7+ years of experience in software engineering with a focus on ML and AI System Engineering - Required
• Experience working in as an embedded engineer in a cross-function product team - Preferred
• Or equivalent combination of education and/or experience

Knowledge, Skills, Abilities, Behaviors:

• Strong technical background in ML engineering with demonstrated coding expertise - Required
• Track record of driving adoption of technical platforms and developer tools - Required
• Deep Python development expertise with focus on ML systems and AI/MLOps - Required
• Proven ability to establish and maintain technical standards - Required
• Strong understanding of ML workflows and operational requirements - Required
• Hands-on experience implementing and scaling model CI/CD pipelines - Required
• Experience with modern Python development practices including type checking, testing frameworks, and package management - Required
• Experience with modern Python development practices including type checking and testing - Required
• History of successful collaboration with product teams - Required
• History of successful collaboration with product teams - Required
• Understanding of ML Development Lifecycle management and MLOps best practices - Required
• Understanding of ML Monitoring and observability - Required
• Experience with LLMs and Infrastructure - Preferred
• Experience integrating with feature stores, feature caches and model serving platforms - Preferred
• Deep understanding of ML/AI platform tooling and patterns - Preferred
• Experience with Distributed model training - Preferred
• Hands on experience with Kubeflow, Argo, MLFlow or other ML/AI Training orchestrators - Preferred
• Hands on experience and knowledge of ML/AI metadata tools and model registries - Preferred
• Deep hands-on experience with Terraform or other IaC tools - Preferred
• Hands on experience building ML/AI solutions on GCP and Vertex AI - Preferred

"Good people beget good people."- Dr. Thomas Frist, Sr.
HCA Healthcare Co-Founder
We are a family 270,000 dedicated professionals! Our Talent Acquisition team is reviewing applications for our Lead Machine Learning Engineer opening. Qualified candidates will be contacted for interviews. Submit your resume today to join our community of caring!

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.