Staff Machine Learning Engineer

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

Some Projects You’ll Work On

• Charge Capture Model: Build models that identify potential missed billable treatments from visit notes and exam transcriptions, with real-time flagging at invoice finalization and LLM-powered natural language explanations for clinicians

• Inventory Forecasting Model: Develop and productionize forecasting systems that predict clinic inventory needs, optimize reorder thresholds, and reduce stockouts

• Client LTV Calculator: Create models to forecast client lifetime value and churn risk, enabling targeted retention and marketing campaigns

You should have

• Familiarity with Snowflake ML, Databricks, or other ML orchestration tools

• 6+ years of experience building and deploying machine learning models in production

• Strong proficiency in Python and experience contributing to production applications

• Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)

• Experience designing and maintaining ML pipelines, feature stores, and data workflows

• Familiarity with LLMs and experience integrating them into user-facing applications

• Comfort working with structured and unstructured data, and selecting appropriate modeling techniques (e.g., time series, gradient boosting, survival analysis)

• Experience with model evaluation, monitoring, and retraining in live environments

• Knowledge of common data science approaches for personalization, forecasting, or anomaly detection

Tools We Use

• Backend: Python (Django, Django Rest Framework)

• Data Tools: Hex, Snowflake

• Datastores: Postgres, Elasticsearch, Redis, Clickhouse

• Version Control: Git

• 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

The typical base pay range for this role across the U.S. is: $160,000/year - $230,000/year + bonus + equity + benefits. There is a different range applicable to specific work locations. For Colorado, the salary range is: $175,000 - $200,000 + bonus + equity + benefits. This salary range is a good faith estimate of what Vetcove may pay for this position at the time of posting. Actual compensation may vary based on skills, qualifications, and experience. The range reflects the base hourly rate or annual compensation (as applicable), and does not include bonus, equity or other incentives.

In addition to base compensation, Vetcove offers a comprehensive benefits
package. Please refer to the “Benefits (Full Time Roles)” section above for more
details.

To apply, please submit your application through Vetcove’s Careers Page. The application deadline is accepted on an on going basis.

Please note we are unable to sponsor work visas at this time.

Attention all job seekers! We want to ensure that you’re well-informed about a serious matter affecting the job market. It has come to our attention that scammers are operating in the industry, impersonating employees and attempting to deceive savvy applicants like you. Here’s what you need to know:

1. Our job listings are exclusively available on official sites (our careers page, LinkedIn, BuiltIn, and Indeed). Be cautious of other sources claiming to represent us or any organization that you’re interested in. Stay on the lookout!

2. Authentic communications from our company will only come through verified email addresses and phone numbers. If you receive unexpected messages or calls, exercise caution and verify their authenticity. Don’t let scammers catch you off guard!

3. It's essential to independently verify the legitimacy of any job postings you come across. Visit our official careers page to confirm the validity of any openings. Stay proactive and protect yourself!

4. Remember that during the application process, we will never request sensitive personal or financial information from you. Be wary of anyone asking for such information. Keep your personal data secure!

5. If you suspect any fraudulent activity or encounter suspicious individuals, please report it immediately to our recruiting department. By working together, we can combat these scams and keep the job market safer for everyone.

We understand the importance of your job search and want to ensure your experience is positive and secure. Always exercise caution and stay scam-smart!

Vetcove is an equal opportunity employer and is committed to creating a diverse and inclusive workplace. We welcome applicants from all backgrounds, regardless of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status. We are dedicated to providing a work environment free from discrimination, harassment, and retaliation. It is our policy to provide equal employment opportunity to all applicants in accordance with all applicable laws and regulations. If you require accommodations during the application or interview process, please let us know and we will make every effort to accommodate your needs.