Staff AI/ML Engineer, Data Products & AI

Ladders; United States; Remote; USD 164,000 - 274,000; Full time

Benefits offered by this job

Health technology access

Comprehensive benefits

Global growth opportunities

Tuition reimbursement

Community of users

Job summary

Ladders is seeking a Staff AI/ML Engineer in the Healthcare space to lead the architecture and delivery of data products and AI capabilities. This remote, US-based position influences technical direction, builds production-ready AI solutions, and ensures reliability, safety, and regulatory alignment across the organization.

The role requires collaboration with cross-functional teams to balance innovation, performance, cost, and impact.

Qualifications

• Bachelor's degree in technical discipline; Master's/PhD preferred.
• 8-12 years of related experience or 5-7 years with a Master's degree.
• Strong Python and AI/ML library experience; production-scale delivery.
• Cloud-based AI/ML solution design.

Responsibilities

• Set technical direction and architect end-to-end AI/ML capabilities across teams.
• Build and optimize AI/ML features using predictive models and generative AI.
• Define evaluation and safety standards, establishing metrics and monitoring.
• Shape technical strategy balancing performance, cost, and regulatory requirements.
• Improve training, serving, and CI/CD pipelines for reliable AI/ML systems.
• Partner with cross-functional stakeholders to align technical direction with company strategy.
• Mentor engineers and communicate complex methods to diverse audiences.

Skills

Python

AI/ML libraries

Production-scale

Software engineering

Education

Bachelor's degree in technical discipline

Master's/PhD preferred

Tools

CI/CD pipelines

Cloud platforms

Job description

For our client, we are seeking a Staff AI/ML Engineer, Data Products & AI to join the team of a leader in the Healthcare space.

This role will help shape and scale AI/ML capabilities that support data products and advanced decision-making across the organization. You will set technical direction, build production-ready machine learning and generative AI solutions, and help ensure they are reliable, safe, and aligned with business and regulatory needs. The position requires close collaboration with cross-functional stakeholders to balance innovation, performance, cost, and operational impact. This is an opportunity to influence AI architecture and engineering standards in a mission-driven healthcare environment.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $164,200 - $273,600 annually

Responsibilities

• Set technical direction and architect end-to-end AI/ML capabilities across teams
• Build and optimize complex AI/ML features using predictive models and generative AI
• Define evaluation and safety standards, establishing metrics and monitoring
• Shape technical strategy balancing performance, cost, and regulatory requirements
• Improve training, serving, and CI/CD pipelines for reliable AI/ML systems
• Partner with cross-functional stakeholders to align technical direction with company strategy
• Mentor engineers and communicate complex methods to diverse audiences

Qualifications

• Bachelor's degree in a technical discipline or equivalent experience; Master's or PhD preferred
• 8-12 years of related experience or 5-7 years with a Master's degree
• Deep expertise in AI/ML with strong computer science fundamentals
• Extensive hands-on experience with Python and modern AI/ML libraries
• Proven track record of delivering AI/ML systems to production at scale
• Experience designing scalable, cloud-based AI/ML solutions
• Strong software engineering and testing standards with a responsible-AI mindset

Benefits

• Access to innovative consumer health technology and a supportive community of users
• Comprehensive benefits program
• Global growth opportunities
• Career development through in-house learning and tuition reimbursement
• An innovative organization committed to employees and communities

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification-your background could be exactly what this team needs.