MSD Animal Health Intelligence Technology Labs
  • 16 active jobs (view)

  • Published: May 3, 2022
Job Type
Level of education
Level of Hebrew
Location of job
Tel Aviv/ Ramat Gan
How many relevant years experience do you require for the role:
2 years


Our company is where we transform vision into reality. It's where ideas become technologies, and cutting-edge technologies become solutions for animal care and management.

We support farmers by providing real-time actionable information to help them manage their herds. it provides pet owners with smart devices and data that give them a better understanding of their pets’ activity and health needs, enriching relationships. it helps conservationists safeguard natural environments and wildlife.

Leveraging decades of R&D experience across many markets, technologies and species, along with development environments and QA procedures, we're always inventing new ways to look after the health and well-being of animals. Our decades of experience keep us ahead of curve by leveraging advanced technologies solutions from enhancing the precious bond between people and their pets to advancing animal healthcare and wildlife preservation.

The position includes research and development of state-of-the-art techniques in the field of computer vision and deep learning.

We will ask you and your team to write high-end algorithms to deliver best-in-class computer vision solutions.

You will face real-life challenges and complexities emerging from monitoring animals, you will be working closely with our animal researchers to provide market leading products.


- MSc in EE or CS
- At least 2 years of expertise in Deep Learning; Transformers, LSTM, Faster RCNN
- Experience in Python programing
- Proven ability of bringing models into production environment
- Familiarity with object oriented programming
- Experience with Git
- Expertise with classical Computer Vision algorithms
- Experience with deep learning frameworks TensorFlow, Pytorch. preferred both
- Experience with linux operating system


- Open CV
- Docker/Kubernetes experience
- Development of software using AWS services
- Knowledge in statistics

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