Remote Remote (Country) Employment

Apella is hiring a Senior Machine Learning Engineer, Computer Vision

Responsibilities

  • Work hand-in-hand with engineering, product, and data science groups to identify business needs and explore AI and machine learning opportunities.
  • Create automation tools to streamline workflows, reduce manual effort, and enhance the speed and accuracy of experimentation.
  • Design, deploy, and oversee full lifecycle operations of distributed, large-scale machine learning platforms.
  • Analyze model outputs to detect and resolve issues related to data integrity and system performance.

Benefits

  • Competitive salary and stock options
  • Flexible vacation policy and a culture that values time for rest and recharging
  • Remote-first work environment with unique virtual and in-person events to foster team connection
  • Comprehensive health, dental, and vision insurance—we're a healthcare company that prioritizes your health
  • 16 weeks of parental leave for all parents

Compensation

Competitive salary and stock options

Work Arrangement

Remote-first work environment

Team

Collaborative environment engaging engineering, product, and data science teams

Other

The company supports equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Applicants from all backgrounds are encouraged to apply.

About company
Apella

Powered by ambient AI and linked to the EHR, Apella gives surgical teams the data they need to serve more patients and still go home on time. That's up to a 15x ROI.

Apella helps surgical teams prevent delays, improve turnovers, streamline coordination, track performance, and optimize capacity. With real-time OR intelligence, hospitals can eliminate inefficiencies, reduce staff burnout, and make data-driven decisions to enhance care quality and safety.

The platform captures key surgical events automatically, writes data back to the EHR autonomously, and provides actionable insights through video and analytics. This enables OR leaders, charge nurses, physicians, and support staff to work more efficiently and focus on patient care.

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Job Details
Department Engineering
Category data
Posted a month ago