Senior Data Scientist - Computer Vision

As a Senior Data Scientist, you will collaborate with engineering teams, clinical experts, and business stakeholders to deliver high-performing embedded computer vision algorithms for innovative veterinary diagnostic instruments.

This hybrid role can be performed from our offices in Westbrook, Maine (the HQ) or in Frisco, Texas. You must live within a commutable distance 1-3 days per week to either Westbrook, MN or Frisco, TX. 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/

In this role:

• You will develop and deploy embedded computer vision algorithms for veterinary diagnostic platforms.

• You will collaborate closely with cross-functional engineering teams, clinical experts, and business stakeholders to define requirements and develop project plans.

• You will lead the design, development, and implementation of computer vision solutions, from data annotation and model training to evaluation, monitoring, and deployment.

• You will utilize strong software engineering skills to develop scalable, maintainable, and efficient code for computer vision applications, ensuring high performance and reliability.

• You will work with embedded systems and NVIDIA GPUs to optimize and deploy algorithms for real-time processing and inference.

• You will stay current with advancements in computer vision, machine learning, and related fields, and incorporate relevant technologies and methodologies into projects.

• You will provide technical guidance and mentorship to junior team members, fostering their growth and development in computer vision and machine learning.

What you need to succeed:

• You have a degree in Computer Science, Electrical Engineering, or a related field.

• You have proven experience delivering computer vision solutions, with expertise in Python programming and deep learning frameworks such as TensorFlow or PyTorch.

• You are proficient in AWS services for data processing, storage, and deployment.

• You have experience working across the entire development lifecycle, from requirements development to model deployment on embedded hardware.

• You have strong software engineering skills, experience delivering software in a production environment, and are familiar with software development best practices.

• Your familiarity with microscopy, digital cytology, or digital pathology will serve you a great advantage.

• Your experience using Databricks will be a plus.

• You have excellent communication skills and can work effectively in a collaborative team environment.

Why IDEXX:

We're proud of the work we do because our work matters. 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, to ensure safe drinking water for billions, and to 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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