Production AI/ML Engineer for Veterinary Care

Milo & Mew; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive compensation

Performance bonus opportunity

Comprehensive health coverage

Retirement plan support

Paid time off

Paid parental leave

Learning support for professional development

Discounted veterinary care

Job summary

A veterinary technology company in San Francisco is seeking an AI/ML Engineer to build and deploy machine learning and AI capabilities across its platform. The role involves collaborating with cross-functional teams to integrate AI systems into clinical workflows, ensuring accuracy and reliability. The ideal candidate will have experience in machine learning production, strong coding skills, and familiarity with cloud infrastructure. This position offers competitive compensation, equity ownership, and a supportive work environment.

Qualifications

• Experience building and deploying ML systems in production environments.
• Strong foundation in applied machine learning and evaluation.
• Strong engineering fundamentals.
• Familiarity with MongoDB and practical data modeling skills.
• Comfort with modern cloud infrastructure on AWS or GCP.

Responsibilities

• Build and deploy ML and AI capabilities for clinical workflows.
• Own end-to-end delivery from data exploration to productionization.
• Work with structured and unstructured data.
• Integrate AI systems into backend services and user experiences.
• Develop safety mechanisms for high-trust use cases.

Skills

Machine Learning systems

TypeScript

Node.js

Data modeling in MongoDB

Cloud infrastructure (AWS/GCP)

React

Tailwind

Job description

A veterinary technology company in San Francisco is seeking an AI/ML Engineer to build and deploy machine learning and AI capabilities across its platform. The role involves collaborating with cross-functional teams to integrate AI systems into clinical workflows, ensuring accuracy and reliability. The ideal candidate will have experience in machine learning production, strong coding skills, and familiarity with cloud infrastructure. This position offers competitive compensation, equity ownership, and a supportive work environment.