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IDEXX

Junior Computer Vision Data Scientist

Posted 2 Days Ago
In-Office
Westbrook, ME
100K-115K Annually
Junior
In-Office
Westbrook, ME
100K-115K Annually
Junior
Develop and implement computer vision algorithms for veterinary applications, focusing on deep learning and classical techniques, collaborating with cross-functional teams, and optimizing models for deployment.
The summary above was generated by AI

Are you a motivated early-career, Computer Vision Data Scientist looking for a high impact role in an exciting industry? We have a great opportunity for you!  

 

This role will be hybrid in our Westbrook, ME office, onsite 8 days per month.  

 

Unfortunately, we are unable to provide relocation assistance or sponsorship for this role. 

 

We’re looking for a Junior Computer Vision Data Scientist to help develop image analysis algorithms for veterinary clinical instrument platforms. In this role you will join a team developing microscopy algorithms for IDEXX’s revolutionary inVue platform. Your work will have immediate impact transforming cytology analysis in the veterinary clinic. This role offers hands-on experience developing algorithms that combine deep learning and classical computer vision approaches to solve challenging image discrimination problems that will be deployed on embedded systems. You will work on a cross-functional team of clinical, technical and business experts. If solving high impact and challenging computer vision problems excites you, we want to talk to you! 

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: 
  • Develop and implement computer vision algorithms combining supervised deep learning (CNNs, transformers), unsupervised machine learning, and classical techniques (feature extraction, morphological operations, edge detection) for discrimination tasks. 

  • Assist in the research, prototyping, and implementation of computer vision solutions for medical imaging and cellular analysis applications. 

  • Support the development and validation of image processing pipelines that perform reliably across diverse imaging conditions and sample variations. 

  • Work with the team to implement and optimize computer vision models for deployment on embedded devices and NVIDIA GPUs. 

  • Conduct experiments and performance evaluations to validate algorithm performance, including benchmarking and statistical analysis. 

  • Collaborate with cross-functional teams including engineers, clinical experts, and product stakeholders to understand and address clinical requirements. 

  • Contribute to technical documentation for computer vision development, including algorithm design and validation methodologies. 

  • Stay current with advances in computer vision, machine learning, and medical imaging through continuous learning. 

 

What you need to succeed: 
  • M.S. in Computer Science, Electrical Engineering, Data Science, or related field, or B.S. with relevant internship/project experience in computer vision. 

  • Foundational knowledge of both classical computer vision techniques and modern deep learning approaches. 

  • Proficiency in Python and experience with deep learning frameworks, particularly PyTorch or TensorFlow. 

  • Experience designing, training, and evaluating CNNs or other neural architectures for image classification, segmentation, or detection (through coursework, projects, internships, or research). 

  • Exposure to model optimization and deployment considerations for resource-constrained environments. 

  • Understanding of challenging discrimination problems in imaging (e.g., subtle feature detection, class imbalance). 

  • Solid foundation in experimental design including dataset preparation, validation strategies, and performance evaluation. 

  • Familiarity with cloud platforms, particularly AWS, is a plus. 

  • Exposure to Databricks or similar ML workflow platforms is beneficial but not required. 

  • Strong analytical and problem-solving abilities with attention to detail. 

  • Interest in or exposure to microscopy imaging, digital cytology, or histopathology is a plus. 

  • Ability to communicate technical concepts clearly and work effectively in team settings. 

  • Enthusiasm for learning and applying new techniques to solve real-world problems. 

What you can expect from us: 
  • Salary of $100,000 - $115,000  

  • 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 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. 

#LI-AA1 

Top Skills

AWS
Databricks
Python
PyTorch
TensorFlow

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