---
title: 'Engineering Manager, Machine Learning at Apella'
canonical: 'https://feeny.ai/job/engineering-manager-machine-learning-apella-remote-h20ptqv6vch0'
type: 'job'
last_seen: '2026-10-17'
---

# Engineering Manager, Machine Learning at Apella

- **Company:** Apella
- **Location:** Remote
- **Compensation:** $280k–$310k
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-10-16
- **Last confirmed live:** 2026-10-17
- **Apply:** https://jobs.ashbyhq.com/apella/f7dbed2c-bbd1-4c19-9f06-43ca2855b00d

## Job description

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.

## About Apella

## Company Overview
- **One-liner**: Apella provides an ambient AI and computer vision platform that automatically captures surgical events, optimizes operating room (OR) workflows, and writes data back to the Electronic Health Record (EHR) to help hospital surgical teams improve efficiency and patient care.
- **Entity Type**: Private (Series B)
- **Headquarters**: Oakland, California, United States
- **Founded**: 2020
- **Founders**: David Schummers (CEO), Cameron Marlow (Founder & CTO), Jordan Tuttle (Co-Founder & Chief Commercial Officer)

## Core Business
- **Primary industry**: Healthcare technology (Hospitals and Health Care)
- **Target customers**: B2B — Enterprise health systems, hospitals, and perioperative surgical departments
- **Mission or purpose statement**: “We believe all patients deserve the best possible outcomes from surgery. We provide healthcare workers the tools to do their best jobs in the hospital.”

## Products & Services
- **Apella OR Management Platform**: A real-time, AI-powered platform that uses computer vision, ambient AI, and EHR integration to auto-detect up to 14 surgical events, forecast case durations and delays, optimize block scheduling and turnover times, automate documentation, and provide live dashboards and SMS alerts to surgical staff. Type: SaaS + hardware (ambient sensors).

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Total Funding**: $101M raised (including an $80M Series B in January 2026)
- **Key Metric**: Annual Revenue — Not publicly available; company is pre-revenue disclosure
- **Notable Investors/Partners**: Casdin Capital, Vensana Capital, Upside Partnership, PFM Health Sciences, Operator Partners, and 7+ additional investors. Customer partner: MUSC Health (Medical University of South Carolina).
- **Growth Signals**: Raised $80M Series B in January 2026 to expand ambient AI in hospitals; 81 employees as of mid-2026 (+12% yearly growth); LinkedIn followers grew 47% year-over-year; deployed across “leading health systems” optimizing hundreds of ORs.

## Competitive Advantages
- **Ambient AI + Computer Vision Moat**: Automatically captures 14+ surgical events (far beyond typical EHR “wheels-in to wheels-out” data) without manual documentation, and writes data back into the EHR autonomously.
- **Predictive Accuracy**: Improves case duration forecasts by 24% compared to the EHR alone.
- **Proven ROI**: Claims up to 15x ROI — reduces long turnover times by 16%, saves 36 overtime minutes per OR per month, and can increase OR case volume/revenue by 10% per month.
- **Real-time Coordination**: Provides live video gallery views, SMS alerts, and delay predictions to coordinate surgeons, anesthesiologists, and perioperative staff in real time.

## Strategic Focus
- **Scale health system deployments**: Using the $80M Series B to expand into more hospitals and health systems.
- **Deepen AI capabilities**: Continue advancing ambient AI and computer vision to automate more clinical workflows and reduce administrative burden on surgical staff.
- **EHR integration**: Strengthen autonomous write-back to EHR systems to further reduce documentation load.

## Why Work Here
- **Remote-first culture**: “We are a remote first culture” with support for home office setup.
- **Health and wellness focused**: Generous health, dental, and vision insurance; flexible time off; parental leave; work-life balance emphasis.
- **Growth & learning**: Opportunities to improve skills with a cross-functional team, gain new responsibilities as the company grows.
- **Core values**: “Put people first,” “Collaborate transparently,” “Bias towards impact,” “Stay humble,” “Make others successful,” “Be mission driven.”
- **Engineering culture**: Low ego, promotes best ideas over loudest voices; emphasis on iteration and learning.
- **Team composition**: 81 employees — 21% in technical roles; talent sourced from top companies like Microsoft, Flatiron Health, Snap Inc., Dropbox, and Amwell.

## Sources
1. [apella.io](https://apella.io/)
2. [apella.io/careers](https://apella.io/careers)
3. [apella.io/product](https://apella.io/product)
4. [cbinsights.com](https://www.cbinsights.com/company/apella-1)
5. [linkedin.com](https://www.linkedin.com/company/apella-technology)

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