Machine Learning Engineer

About the Role

IDEXX's Data & AI Center of Excellence is seeking a Machine Learning Engineer to join the AI Enablement Team. This hybrid role requires 2 days per week in the office and focuses on engineering and development activities in partnership with the Clinical and Generative AI Team.

You will help design, build, and maintain the infrastructure and pipelines that enable machine learning models to be deployed, served, and monitored in production for Clinical and Generative AI solutions. This role sits at the intersection of Data Science, Machine Learning, and Software Engineering, bridging data scientists and the customers who rely on their work to ensure models are reliably enabled, integrated, and delivered as products.

The Data and AI Center of Excellence (COE) develops and delivers data and AI assets and solutions to enhance IDEXX products, services, internal operations, and business practices. It is a large team of talented engineers, architects, data scientists, and analysts driving cutting-edge AI innovation in veterinary care.

Responsibilities

• Build and maintain scalable infrastructure and pipelines supporting model deployment and production inference (not model development itself).
• Collaborate with Data Scientists and Product Teams to translate model outputs into robust, production-ready services.
• Support the scalability, performance, and reliability of inference workflows.
• Design and implement data pipelines that support ML enablement workflows.
• Participate in code reviews to ensure quality and adherence to engineering best practices.
• Apply established software design patterns; contribute to architectural discussions.
• Identify and apply practical improvements to ML enablement processes.
• Contribute to an AI Development Platform that supports adoption of AI capabilities across the enterprise.
• Work with Data Engineering and DevOps to build robust processing workflows and pipelines.
• Partner with product management and engineering teams to identify reusable datasets, components, and infrastructure.
• Balance cost, time, and technical capability when implementing solutions.
• Collaborate with and learn from senior team members; share knowledge with peers.
• Contribute to assigned workstreams to successful, timely completion.
• Work independently on well-defined problems, escalating ambiguous or high-impact decisions as needed.

Requirements

• 3-5 years of experience in a machine learning engineering or related role.
• Solid programming skills in Python; familiarity with additional languages a plus.
• Experience building scalable data processing and ML-enabling applications.
• Basic knowledge of Spark for data processing.
• Understanding of sound software engineering practices, including testing and CI/CD.
• Working knowledge of AI/ML concepts, with some hands-on experience supporting models in production environments.
• Familiarity with ML tech stacks such as Databricks, Delta Tables, AWS (EC2, S3, SageMaker), and containerization tools like Docker.
• Basic knowledge of data engineering (SQL, NoSQL, Big Data), cloud architecture, and Agile methodologies.
• Good analytical and problem-solving skills, adaptable to evolving technologies.
• Good communication skills to collaborate with data scientists, engineers, and stakeholders.

Benefits

• Base salary range starting at $115,000 based on experience.
• Opportunity for annual cash bonus.
• Health, Dental, and Vision Benefits.
• Day-One 5% matching 401k.
• Additional benefits including financial support, pet insurance, mental health resources, volunteer paid days off, employee stock program, foundation donation matching, and more.

About IDEXX

We're proud of the work we do because our work matters. An innovation leader in every industry we serve, our team members help pet owners worldwide keep their companion animals healthy and happy, ensure safe drinking water for billions, and help farmers protect livestock and poultry from disease.

Within IDEXX Veterinary Software, we are transforming how veterinary teams manage workflows, connect with clients, and deliver care. Our solutions help practices operate more efficiently while strengthening engagement with pet owners and improving patient outcomes.

We have customers in over 175 countries and a global workforce of more than 10,000 team members. Our culture embraces challenges, encourages learning and discovery, and supports employees with competitive compensation, benefits, and meaningful work that drives improvement.