Staff Machine Learning Engineer - Remote

Overview

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.

In Short

• Design and deploy production ML systems.
• Build evaluation frameworks for models.
• Integrate models into the platform via APIs.
• Incorporate LLMs into production systems.
• Work with modern ML platforms and tools.
• Own ML pipelines and data workflows.
• Support real-time and batch use cases.
• Collaborate closely with product managers and veterinary experts.
• Contribute production-quality Python code.
• Shape ML best practices and mentor teammates.

Requirements

• Familiarity with Snowflake ML or Databricks.
• 6+ years of experience in ML model deployment.
• Strong proficiency in Python.
• Experience with modern ML frameworks.
• Experience designing ML pipelines and data workflows.
• Familiarity with LLMs.
• Comfort working with structured and unstructured data.
• Experience with model evaluation and monitoring.
• Knowledge of data science approaches for personalization and forecasting.

Benefits

• 100% remote within the USA.
• Medical, Dental, and Vision Insurance.
• Automatic 401k contribution.
• Employee referral program.
• At home office set up.
• Bi-annual company retreats.
• Open vacation policy.
• Equity.
• Monthly team events.