Computer Vision Data Scientist

IDEXX • Westbrook, ME

1d • $128,000 • Hybrid

About The Position

We are seeking a Computer Vision Data Scientist with a few years of accomplished image analysis experience to develop imaging 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! This is a hybrid role and will require you to be in the office 2 days per week. In this Role You will: 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. Guide the work of junior imaging data scientists.

Requirements

• 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
• 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.
• Strong analytical and problem-solving abilities with attention to detail.
• Enthusiasm for learning and applying new techniques to solve real-world problems.

Nice To Haves

• Familiarity with cloud platforms, particularly AWS, is a plus.
• Exposure to Databricks or similar ML workflow platforms is beneficial but not required.
• 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.

Responsibilities

• 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.
• Guide the work of junior imaging data scientists.

Benefits

• Base salary range starting at $128,000 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees