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Salary
$103k – $199k per year (Estimated)
Location
Remote/Hybrid (United States)
Seniority
Middle · 3+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
IDEXX Laboratories is a multinational corporation headquartered in Westbrook, Maine, and was founded in 1983. The company develops, manufactures, and distributes diagnostic products, equipment, and software for the veterinary, livestock, poultry, and dairy markets, as well as testing solutions for water quality. It operates globally through a network of reference laboratories and sales offices, serving customers in over 175 countries and maintaining a listing on the NASDAQ Stock Market.

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 in the office.

As a Machine Learning Engineer, you will help design, build, and maintainthe infrastructure and pipelines that enable machine learning models to be deployed, served, and monitoredin 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) developsand 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-edgeAI innovation in veterinary care.

Machine Learning Enablement

  • Build and maintainscalable 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.

  • Identifyand 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 identifyreusable 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, timelycompletion.

  • 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 machinelearning engineering or related role.

  • Solid programming skills in Python; familiaritywith additionallanguages a plus.

  • Experience building scalable data processing and ML-enabling applications.

  • Basic knowledge of Spark for data processing.

  • Understanding ofsound 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 stackssuch 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 communicationskills to collaborate with data scientists, engineers, and stakeholders.

What you can expect from us

  • Basesalary range starting at $115,000 based on experience

  • Opportunity for annual cash bonus

  • Health / Dental / Vision Benefits Day-One

  • 5% matching 401k

  • Additionalbenefits 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'reproud of the work we do, becauseour work matters. An innovation leader in every industry we servesince 1983, 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.

We have customers in over 175 countries and a collaborative global workforce. Our culture embraces challenges and encourages learning and discovery. At

IDEXX, you'llbe supported by competitive compensation, incentives, and benefits while enjoying purposeful work that drives improvement.

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

Let'spursue what matters together.

EEO Statement:

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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