Junior AI Scientist; land, CO, NYC
Listed on 2026-01-02
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IT/Tech
Machine Learning/ ML Engineer, Data Scientist
Join to apply for the Junior AI Scientist (Loveland, CO, NYC) role at Antech Diagnostics
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.
- Loveland, Colorado: $82,000- $102,000 annually.
- New York City: $89,000- $112,000 annually
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.
EssentialDuties And Responsibilities
- 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
- 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 Py Torch
- Proficiency in Python for data analysis, model development, and scripting
- Familiarity with data manipulation libraries (e.g., pandas, Num Py)
- Awareness of software development best practices (version control, clean code principles)
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
Percent of time: 5% (based on location may increase)
Working ConditionsThe associate is regularly required to apply manual dexterity, including hand/wrist flexibility, for computer keyboarding. The associate frequently is required to sit for extended periods of time, stand, walk, and reach with hands and arms. The associate is frequently required to hear and speak in order to use the telephone, make presentations and communicate with people in an office environment. The associate is occasionally required to sit and stoop, bend, kneel, or crouch.
The associate must occasionally lift and/or move up to 15 pounds.
The associate will primarily work in a typical office environment including use of cubicles, computers and overhead lighting. Temperature extremes will be minimal to nonexistent. The noise level in the work environment is usually moderate. The associate…
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