Staff Machine Learning Engineer, Vetcove
$160-230k
Salary dependent on locations. + Equity & Bonus
More information about location
Single-source veterinary hospital supply shop
Be an early applicant
Single-source veterinary hospital supply shop
101-200 employees
Be an early applicant
$160-230k
Salary dependent on locations. + Equity & Bonus
More information about location
101-200 employees
Company mission
To provide a fair and ethical marketplace for veterinary purchasing.
Role
Who you are
- 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
- 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
What the job involves
- 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
- 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
- Tools We Use:
- Backend: Python (Django, Django Rest Framework)
- Data Tools: Hex, Snowflake
- Datastores: Postgres, Elasticsearch, Redis, Clickhouse
- Version Control: Git
Application process
- To apply, please submit your application through Vetcove’s Careers Page. The application deadline is accepted on an on going basis
Our take
Purchasing inventory for veterinary hospitals can be time-consuming and expensive, as finding the best prices requires a lengthy process of researching suppliers and comparing their prices. Whilst some comparison tools do exist for veterinary organizations, existing solutions do not take into account custom negotiations, GPOs, or corporating pricing schemes, limiting the thoroughness of comparisons.
Vetcove provides an online marketplace for veterinary hospital inventory procurement, allowing clinics to reduce ordering times and costs through its free service. The company achieves this by allowing users to link their existing vendor accounts and list their custom pricing arrangements, helping inform a more accurate comparison ecosystem and boost supplier sales, whilst resolving supply chain limitations.
Whilst veterinary organizations already have access to the suppliers provided on Vetcove’s marketplace, the company stands out by integrating custom pricing arrangements into the comparison ecosystem, helping to provide a more holistic and accurate overview of supply chain inventories and costs. Whilst the marketplace is free for veterinary clinics and organizations, the company charges suppliers to be listed.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Dec 2021
$50m
SERIES A
Aug 2016
$3m
SEED
Total funding: $53m
Company benefits
- Open Vacation Policy
- Stock Options & Benefits
- Medical, Dental, and Vision Insurance
- 401K Matching
- We're a fully remote team!
Company HQ
Brickell, Miami, FL
Leadership
Alexander Kates
(Co-Founder & CEO)Experience as Co-founder and Group Manager of Jersey Angels, LLC from 2009 to 2012. Co-founder and Managing Director of GRX from 2012 to 2015.
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