As an experienced Machine Learning Engineer, you will develop and deploy machine learning solutions. You will optimize models for deployment on cloud infrastructure and embedded hardware, implement scalable and efficient training procedures, and integrate models into production systems.

This hybrid role requires an onsite presence in our Frisco, Texas, or Westbrook, Maine office. You must live within a commutable distance 1-3 days per week to either Westbrook, Maine or Frisco, Texas. Unfortunately, we are unable to provide relocation assistance or sponsorship for this role.

Department:

IDEXX Data and AI Centre of Excellence develops and delivers data and AI assets and solutions to enhance IDEXX R&D, products, software, services, internal operations, and business practices.

You can find out more about the latest product developed in collaboration with AI/ML CoE here - https://www.idexx.com/en/veterinary/analyzers/invue-dx-analyzer/

The Machine Learning Operations team supports all projects in the Center of Excellence.

In this role:

  • You will design and implement machine learning models and algorithms.
  • You will develop training processes that scale to large imaging and text datasets.
  • You will optimize models for performance and scalability on embedded systems.
  • You will work with software engineers and data scientists to integrate ML models into production systems on the cloud and in embedded systems.
  • You will collaborate with data scientists to identify and analyze data requirements.
  • You will develop and implement data preprocessing and feature engineering pipelines.
  • You will stay current with the latest developments in machine learning and related fields.

What you need to succeed:

  • You have 5 or more years of experience working in machine learning and have delivered solutions into production in a professional setting.
  • You have 5 or more years of experience using Python, SQL, Databricks, Spark, with Big Data.

It is helpful if you:

  • You have experience with machine learning frameworks such as Tensorflow and PyTorch.
  • You have experience optimizing model performance on CPUs, GPUS. Experience with embedded hardware optimization is a plus but not required.
  • You have ML tech stacks, including Databricks, MLflow, Amazon AWS (EC2, S3, SageMaker), and containerization technologies such as Docker.
  • You have excellent software engineering skills, including a test-driven mindset.
  • You are proficient in Python and Spark and are familiar with other programming languages.
  • You have a high level of comfort with Linux.
  • You have strong skills in SQL.
  • You have strong problem-solving and analytical skills.
  • You have excellent communication and collaboration skills.

Why IDEXX:

We’re proud of the work we do because our work matters. As an innovation expert in every industry we serve, we follow our Purpose and Core Values to 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 over 10,000 talented employees globally.

So, what does that mean for you? We enrich the livelihoods of our employees with a positive and respectful work culture that encourages learning and discovery. At IDEXX, you will be motivated by generous compensation, incentives, and benefits while enjoying purposeful work that drives improvement.

Let’s pursue what matters together.

IDEXX values diversity and encourages women, people of color, LGBTQ persons, 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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Location

US-United States-Virtual

Remote Job

Job Overview
Job Posted:
1 month ago
Job Expires:
Job Type
Full Time

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