Senior Machine Learning Engineer
Remote
Applications have closed
Apella
Transform your OR with Apella’s AI-powered surgical operations platform
Who we are:
Apella is applying computer vision, machine learning and natural language processing 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.
We’re looking for a machine learning generalist who thrives on solving impactful problems, particularly in getting the right data into the right place to build effective models. You are a collaborative team player who can work closely with software engineers on product and infrastructure, taking broad specifications and transforming them into exceptional product experiences. As an early member of our team, you’ll also have the unique opportunity to help shape the culture of Apella’s machine learning function.
Apella is applying computer vision, machine learning and natural language processing 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.
We’re looking for a machine learning generalist who thrives on solving impactful problems, particularly in getting the right data into the right place to build effective models. You are a collaborative team player who can work closely with software engineers on product and infrastructure, taking broad specifications and transforming them into exceptional product experiences. As an early member of our team, you’ll also have the unique opportunity to help shape the culture of Apella’s machine learning function.
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 and test novel features offline to enhance model performance.
- Build, integrate, and monitor the end-to-end lifecycles of large-scale, distributed machine learning systems.
- Stay current with recent advancements in machine learning and deep learning to continually improve our models.
What you'll bring:
- Experience working on a range of optimization problems, including recommender systems, classification, or clustering.
- 3+ years of experience working with machine learning systems, covering the full production workflow and monitoring.
- Proficiency in handling real-world, large-scale datasets.
- Ability to write readable, tested, and efficient code in collaboration with other engineers.
- A strong commitment to craftsmanship and producing high-quality work.
- Experience working in healthcare or other regulated industries.
- Familiarity with developing SaaS products for business customers.
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 and Dive Into a Case Study – Discuss your experience and work through a relevant case or technical exercise (if applicable, and all done in live time - no take home work here!).
- Virtual Onsite Interviews – Meet a few team members and dive into areas like collaboration, culture, and role-specific skills. Typically 3-4 interviews.
- Meet with one or two of our founders – Usually “reverse interview” style where you can ask questions and make sure we’re the right fit for you.
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
- 4 months of parental leave for all parents
Compensation:The salary range for this position is between $175,000 - $200,000 annually, depending on experience and qualifications. We believe in fair compensation and strive to provide a competitive package, including benefits and growth opportunities. We assess final compensation throughout the interview process, taking into account your experience, skills, and alignment with the role’s requirements.
Job stats:
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Categories:
Engineering Jobs
Machine Learning Jobs
Tags: Classification Clustering Computer Vision Deep Learning Engineering Machine Learning NLP Recommender systems
Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Flex vacation Health care Parental leave Startup environment Team events
Region:
Remote/Anywhere
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