Junior AI Scientist

We understand that the world we want tomorrow starts with how we do business today, and that’s why we’re inspired to make A Better World for Pets. Antech is comprised of a diverse team of individuals who are committed to each other’s growth and development. Our culture is centered on our guiding philosophy, The Five Principles: Quality, Responsibility, Mutuality, Efficiency and Freedom. Today Antech is driving the future of pet health as part of Mars Science & Diagnostics , a family-owned company focused on veterinary care.

Current Associates will need to apply through the internal career site. Please log into Workday and click on Menu or View All Apps, select the Jobs Hub app, then click the magnifying glass to Browse Jobs.

The Target Pay Range for this position is as follows:
Loveland, Colorado: $82,000- $102,000 annually

New York City: $89,000- $112,000 annually

Fountain Valley, California: $86,000- $107,000 annually

At Antech, pay decisions are determined using factors such as relevant job-related skills, experience, education, training and budget.

Job Purpose/Overview

We are seeking an AI Scientist to join our R&D organization, focusing on computer vision tasks and basic data engineering responsibilities. The ideal candidate will have a strong foundational knowledge in training deep learning models (e.g., PyTorch) and be proficient in Python and pandas. A strong work ethic, effective communication skills, and eagerness to learn are essential for this role. Experience with Azure Cloud is a plus.

Essential Duties and Responsibilities

To perform this job successfully, an individual must be able to satisfactorily perform each essential function. The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Support Computer Vision Projects

Assist in the development, training, and evaluation of computer vision models for veterinary diagnostic applications

Conduct experiments under the guidance of senior team members, ensuring rigorous testing and documentation

Contribute to Data Engineering

Help maintain and improve basic data pipelines for data ingestion, cleaning, and transformation

Model Deployment and Integration

Participate in model deployment processes, including testing, monitoring, and troubleshooting in a production environment

Work closely with software engineers to integrate computer vision solutions into larger systems or applications

Continuous Learning and Collaboration

Proactively seek feedback and mentoring from senior scientists and team leads

Stay current with emerging deep learning techniques, tools, and industry trends

Present findings and results in a clear, concise manner to both technical and non-technical stakeholders

Adhere to Best Practices

Follow clean code and version control guidelines to maintain high-quality project repositories

Document key processes and learnings for future reference and knowledge sharing

Education and Experience

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field

Basic understanding of deep learning principles and hands-on experience with frameworks like PyTorch

Proficiency in Python for data analysis, model development, and scripting

Familiarity with data manipulation libraries (e.g., pandas, NumPy)

Awareness of software development best practices (version control, clean code principles)

Knowledge, Skills and Abilities

Familiarity with Azure Cloud services for data storage or model deployment

Experience with containerization (e.g., Docker) or CI/CD pipelines

Strong work ethic and the ability to take initiative

Eagerness to learn and adapt to new tools, frameworks, and methodologies

Good communication skills, both written and verbal, to effectively collaborate with cross-functional teams

Team player who can work collaboratively with senior data scientists, engineers, and domain experts

Travel

Will there be notable travel in this position? No Percent of time: 5% (based on location may increase)

Working Conditions

Primarily office-based, with relevant visits to warehouse or production sites.

Extensive computer and data entry work (80…