Job Url: https://jobs.ashbyhq.com/Vetcove/763d05b4-8d94-40d3-99b9-69414023775e?utm_source=kQGwm7RD9K

Job Description: Staff Machine Learning Engineer
Location
Remote

Employment Type
Full time

Location Type
Remote

Department
Engineering

Overview
Application
Join our growing team at Vetcove, and help us transform how veterinarians buy the supplies they need to keep America's pets healthy. Vetcove's eCommerce and mobile platforms enable veterinary practices to compare and buy from all of their vendors in one place. Our community of more than 17,000 veterinary hospitals employs tens of thousands of veterinarians, and delivers care to many millions of animals every year across all 50 states. We’re a growing team on a mission to modernize the $50B+ animal health industry. Simply put, Vetcove helps veterinary organizations spend more time giving care, and less time shopping and comparing across vendors to supply their practices. Vetcove is a Y Combinator and venture-backed growth stage company with notable investors in Silicon Valley and NYC. We're looking for exceptionally talented and passionate people to join our growing team. 

About the Position

Vetcove is seeking a Staff Machine Learning Engineer to lead critical initiatives that bring machine learning into the core of our platform. You’ll design, build, and deploy models that drive clinical insights, financial outcomes, and operational efficiency for veterinary practices. From predicting inventory needs to surfacing missed charges, the systems you create will directly improve the lives of veterinarians, their staff, and the pet parents they serve.

This role sits at the intersection of data, engineering, and product. The models you build—and the infrastructure you design around them—will shape how tens of thousands of clinics make decisions every day. You’ll collaborate with engineering leadership, product managers, and veterinary professionals to scope problems, design solutions, and deploy them into production.

This is an ideal opportunity for someone who thrives on owning end-to-end ML systems, enjoys writing Python to bring models into production, and is motivated by building solutions that make a measurable difference in real-world outcomes. Since our ML systems run in production, strong Python engineering skills are key to being successful in this role.

What You’ll Do

Design and deploy production ML systems: Build, train, and launch machine learning models that power Vetcove’s core products

Build evaluation frameworks: Create tools and processes to evaluate, monitor, and retrain models so they stay accurate and trusted over time

Integrate models into the platform: Develop APIs and services that let product and engineering teams seamlessly use ML in everyday features

Integrate LLMs: Incorporate LLMs and multimodal models into production systems to improve explanations, clinical insights, and user-facing features

Work with modern ML platforms and tools: Use frameworks like PyTorch, TensorFlow, scikit-learn, and Snowflake ML to bring models from development into production

Own ML pipelines and data workflows: Design and maintain the data flows, feature stores, and model registries that keep ML systems running smoothly

Support real-time and batch use cases: Build systems that deliver predictions instantly (like flagging a missed charge on an invoice) and on a schedule (like nightly inventory forecasts)

Collaborate closely with experts: Work hand-in-paw with product managers, engineers, and veterinary experts to scope problems and design solutions

Contribute production-quality code: Write and review Python code for training, inference, and integration, keeping models maintainable and performant

Shape ML best practices: Help set standards for experimentation, deployment, monitoring, and ethical data use across the team

Mentor and guide: Share your expertise with teammates, supporting their growth while leading high-impact ML initiatives