Engineering Manager, Machine Learning

Apella
United States
Remote

Who this role is best for

A natural match if you have experience leading cross-functional teams in healthcare and deploying machine learning systems. The role emphasizes remote work and requires balancing technical and strategic priorities across three distinct teams.

Best fit for

  • Candidates with experience leading cross-functional teams in healthcare and deploying machine learning systems
    — “Lead three highly technical teams spanning Machine Learning Engineering for computer vision and forecasting and our Data Platform team.”
  • Candidates who have translated business and clinical needs into technical priorities with stakeholders
    — “Work closely with Product, Clinical, Operations, and Research stakeholders to translate business and clinical needs into clear technical priorities.”
  • Candidates with a background in managing machine learning system architecture and deployment
    — “Manage machine learning system architecture, model deployment, and data platform design and execution.”

Things to consider

  • The role requires a candidate who can manage interdependent problem spaces simultaneously.
    — “Lead teams working on distinct but interdependent problem spaces.”
  • The position demands a balance between immediate results and long-term scalability.
    — “Define the machine learning and data platform goals and roadmaps, balancing near-term wins with long-term scalability.”

How to stand out

  • Highlight experience with machine learning lifecycle management and system reliability in your resume.
    — “Drive best practices for machine learning model lifecycle management, data pipelines, and system reliability.”
  • Emphasize your ability to mentor and grow engineers across multiple technical domains.
    — “Manage, mentor, hire and grow the department of engineers and data engineers across three distinct teams.”
  • Showcase your track record in deploying production-grade machine learning systems.
    — “Ensure machine learning solutions are production-grade, scalable, observable, cost effective and maintainable.”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • leading technical teams
  • delivering production-grade machine learning solutions
Typical background
engineering manager with experience in machine learning and data platforms

Skills & requirements

Required

Machine LearningData PlatformTeam ManagementSoftware ArchitectureModel Deployment

Preferred

Surgical Healthcare Operations

Stack & domain

Machine LearningData PlatformModel DeploymentMentorshipCollaborationCommunicationTechnologyHealthcare

About the role

Original posting from Apella via Ashby

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 Technology Inc. is an equal opportunity employer.

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.

Source: Apella careers (Ashby)

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