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Open nowPosted 6 days ago

Machine Learning Engineer

IDEXX22 open roles

Where
Westbrook, ME
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Your applicationOpen nowMachine Learning EngineerIDEXX · Westbrook, ME

  1. YouYes, apply to this one.

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The clock on this job

Early applications get read.

8.0% of postings close within 7 days. Measured by our own scanner across the market. IDEXX postings stay open a median of 1 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 8.0%7 days
  4. 15.0%14 days
  5. 34.2%30 days
This job: posted 6 days ago

IDEXX median: 1 days open

The posting

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

This is a hybrid role, requiring 2 days per week and 8 days per month in our Westbrook, ME office.

As a Machine Learning Engineer, 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. You'll work at the intersection of Data Science, Machine Learning, and Software Engineering, playing a key connecting role between data scientists and the customers who rely on their work, ensuring models built by our data science teams are reliably enabled, integrated, and delivered as products.

IDEXX 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.

Machine Learning Enablement

  • 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.

Collaboration and Development

  • 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.

Teamwork

  • 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.

What You Need to Succeed

  • 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.

What you can expect from us

  • Base salary range starting at $115,000 based on experience
  • Opportunity for annual cash bonus
  • Health / Dental / Vision Benefits Day-One
  • 5% matching 401k
  • Additional benefits including but not limited to financial support, pet insurance, mental health resources, volunteer paid days off, employee stock program, foundation donation matching, and much more

Why 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.

If meaningful work and a sense of purpose are at the top of your list, you'll find it here.

Let's pursue what matters together.

IDEXX values a diverse workforce and workplace and strongly encourages women, people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply.

IDEXX is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state, or federal laws.

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