לוח אפשרויות קריירה - הדרך החכמה להייטק

Our company specializes in the development of animal health management solutions. We are a multidisciplinary product company, a diverse team of ~450 closely collaborating scientists, AI experts, software, hardware, and mechanical engineers… working alongside veterinarians and other animal experts. Our passion? Shaping the future of animal health and well-being (for much better!). Our products and platforms identify trends and predict the likelihood of health outcomes for HUNDREDS of MILLIONS of animals each year, from pets, to poultry, farm animals, and even fish. We provide actionable insights for veterinarians, farmers, and producers, changing the way people care for animals in 150 markets. So, if you’re looking to work in a company that combines pioneering science and technology, dedicated colleagues, and animals, you’ll find it all here – come join us! The Artificial Intelligence group develops machine learning and computer vision algorithms for monitoring dairy and beef cows, dogs, chicken, pigs, and salmon fish and more. We are seeking a qualified research veterinarian to join our group in development and research activities. Responsibilities:

* Providing the domain expertise of the animal science and behavior, working shoulder to shoulder with the Product Team of the species, algorithms developers, data annotation and field operations teams in to develop machine learning algorithms for animal monitoring solutions.
* Writing protocols for data collection and performance validation field studies. For example, defining health criteria, scoring systems, examination protocols and sample size.
* Responsibility for the definitions and compilation of the data collected for algorithmic models’ development. For example, determination of health condition and severity, disease progression, recovery, and characteristics of various animal behaviors.
* Assess algorithm performance from the animal science perspective, from individual animals to whole farms, identifying strengths and areas for improvement.