AI Software Engineer

Synergy Pet Group is one of the fastest-growing players in the pet industry, earning a place on the Inc. 5000 every year since 2018 and sustaining more than 35% annual growth for the past decade. Our portfolio of pet care offerings includes pet-related employee benefits, the industry’s only PPO-style pet insurance, veterinary membership programs, and the veterinary industry’s fastest-growing practice management software. These solutions are used by thousands of veterinary practices and millions of pet owners nationwide. As we scale, we’re building a team that thrives in a high-growth environment and is excited to help shape the future of veterinary care.

Synergy is building a first-of-kind deep neural network and supporting tools to identify the most pressing, un-treated health conditions in pets. In partnership with some of the largest animal health companies in the world we have validated that our models are as capable as veterinary specialists. Given that these conditions are massively under-diagnosed this has the potential to help hundreds of millions of animals world wide.

About the Role

We're seeking an exceptional AI Software Engineer to develop novel computer vision models for analyzing videos of dogs and cats to diagnose a variety of conditions. This position combines cutting-edge ML research with practical software engineering to create a production-ready diagnostic system that veterinarians can use to improve health outcomes. The roles includes both ML research and standard engineering including writing web servers and deploying models.

Required Skills & Experience

• Collaborate with the team to design and implement custom ML architectures optimized for video analysis of canine movement patterns

• Develop full-stack applications to make ML models accessible to veterinary professionals and to work on our video capture platform

• Build and maintain robust backend services and APIs

• Deploy and monitor ML and other systems in production environments

Required Skills & Experience

• Ability to read and understand cutting edge research and implement the models they describe.

• 3+ years experience developing and deploying computer vision models

• Strong understanding of deep learning architectures for video processing (CNNs, RNNs, Transformers, ViTs)

• Proficiency in PyTorch

• Experience with back end development using Go, Java, Rust, or strongly typed languages