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.
We’re looking for a machine learning engineer who thrives on leveraging their AI and computer vision proficiency to solve impactful problems, particularly in getting the right data into the right place to build effective ML models. You are a collaborative team player who flourishes in a startup environment working up and down the technical stack with software engineers on product and infrastructure, taking broad ideas and specifications and doing whatever it takes to launch 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 and abundant opportunities for career growth .
Collaborate closely with engineering, product, and data science teams to understand business challenges and the potential for machine learning and AI solutions.
Invent and rigorously trial groundbreaking features offline to push the boundaries of 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, tools and techniques.
Experience working on a range of optimization problems, including recommender systems, classification, or clustering.
5+ years of experience working with machine learning systems, covering the full production workflow and monitoring.
Proficiency in handling real-world, large-scale datasets, particularly familiarity with image and video formats.
Passion for writing 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.
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 3-4 interviews.
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
We’re excited to meet people who bring diverse perspectives and a passion for making an impact. If this role resonates with you, we encourage you to apply—even if you don’t meet every qualification. At Apella, we believe that great ideas come from all backgrounds and experiences.
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