Engineering Manager, Machine Learning

Duties: Requiring limited supervision; · This role is an intersection of applied machine learning, surgical healthcare operations, and the data and machine learning Ops infrastructure

· Lead three highly technical teams spanning Machine Learning Engineering for computer vision and forecasting and our Data Platform team.

· Ensure machine learning systems move reliably from research to production, delivering measurable real-world impact.

· Direct daily operations of department, analyzing workflow, establishing priorities, developing standards and setting deadlines.

• · Manage, mentor, hire and grow the department of engineers and data engineers across three distinct teams
• · Manage machine learning system architecture, model deployment, and data platform design and execution
• · Ensure machine learning solutions are production-grade, scalable, observable, cost effective and maintainable
• · Drive best practices for machine learning model lifecycle management, data pipelines, and system reliability
• · Work closely with Product, Clinical, Operations, and Research stakeholders to translate business and clinical needs into clear technical priorities
• · Define the machine learning and data platform goals and roadmaps, balancing near-term wins with long-term scalability
• · Lead teams working on distinct but interdependent problem spaces
• · Will work remotely
• We offer competitive salaries and comprehensive benefits packages. Please email your resumes to recruiting@apella.io

On your resume, please clearly note ADV: [source] and job title.

Apella is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We encourage people from all backgrounds to apply to our roles.