---
title: 'Senior Machine Learning Engineer, Forecasting at Apella'
canonical: 'https://feeny.ai/job/senior-machine-learning-engineer-forecasting-apella-remote-76hy7z0xwya2'
type: 'job'
last_seen: '2026-10-17'
---

# Senior Machine Learning Engineer, Forecasting at Apella

- **Company:** Apella
- **Location:** Remote
- **Compensation:** $175k–$225k
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-09-02
- **Last confirmed live:** 2026-10-17
- **Apply:** https://jobs.ashbyhq.com/apella/b4cd6537-f32f-4d1a-9b78-1857b1009488

## Job description

Who we are: Apella is applying computer vision and machine learning to improve the standard of care in the most critical aspect of healthcare: surgery. We build applications to enable surgeons, nurses, and hospital administrators to deliver the highest quality care. Who you are: We're looking for a senior machine learning engineer who would thrive at the intersection of MLOps, infrastructure, and production forecasting systems. You excel at building robust, automated ML pipelines that enable data scientists to iterate quickly while maintaining the reliability that our healthcare customers depend on. You are a systems thinker who flourishes in a startup environment, working across the stack to productionize ML models, automate deployment pipelines, and establish the infrastructure that makes our forecasting platform scalable and maintainable. As a critical member of our Forecasting team, you'll work on production ML lifecycle - from training automation to serving infrastructure - and have the unique opportunity to shape the technical foundation of Apella's ML platform while growing our team's capabilities. In this role you'll:

- Collaborate closely with engineering, product, and data science teams to understand business challenges and the potential for machine learning and AI solutions.
- Develop tools and automate manual processes to improve operational efficiency, accelerate experimentation velocity, and minimize human error.
- Build, integrate, and monitor the end-to-end lifecycles of large-scale, distributed machine learning systems.
- Investigate model performance and identify data quality and performance issues.
- Enhance the ML pipeline for our forecasting platform, managing weekly automated model retraining and deployment across a range of production models
- Elevate the team's technical capabilities in MLOps best practices, automation, and production ML systems.

What you'll bring:

- 5+ years of experience building and maintaining production ML systems, with deep expertise in MLOps, deployment automation, and model serving infrastructure
- Strong software engineering skills with proficiency in Python, containerization (Docker/Kubernetes), CI/CD systems (GitHub Actions, ArgoCD), and infrastructure-as-code (Terraform, Helm)
- Production ML deployment experience including model training orchestration (Dagster, Airflow, or similar), automated retraining pipelines, and A/B testing/variant management
- Systems design expertise with experience building scalable microservices, API design, and managing complex service dependencies
- Ownership mentality with a track record of driving projects from concept to production, maintaining them over time, and continuously improving system reliability
- Excellent collaboration skills working with data scientists to productionize research, with backend teams on API integration, and with product org to meet customer needs
- Passion for writing tested, maintainable, well-documented code that enables team velocity

Nice to have:

- Experience working in healthcare or other regulated industries.
- Experience with Forecasting / Time Series algorithms
- Experience with Computer Vision
- Experience with DAG frameworks, Flink

What to expect from our interview process:

- Chat with Our Recruiter – A quick intro to get to know you and share more about Apella & the role.
- Meet with the Hiring Manager – Discuss your experience and work through a relevant case or technical exercise.
- Virtual Onsite Interviews – Meet a few team members and dive into areas like collaboration, culture, MLE coding skills, and system design. Typically 3-5 interviews.

Our 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

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)

## Other roles at Apella

- [Engineering Manager, Machine Learning](https://feeny.ai/job/engineering-manager-machine-learning-apella-remote-h20ptqv6vch0)
- [VP, Sales](https://feeny.ai/job/vp-sales-apella-remote-vcnvfts8d2t9)