We are seeking a highly skilled and motivated computer vision researcher to play a leading role in the development of the next generation of our face recognition and vision engine.

The role will include:

●    Taking a crucial part in the research and development of Corsight’s unique Face Recognition solution.

●    Implementing state-of-the-art algorithms to solve real-world problems and cases.

●    Designing and training neural networks and deep learning models.

●    Establishing benchmarks and experiments to study AI models’ strengths and weaknesses, and perform root cause analysis.

●    Conduct innovative research in one of the most exciting and highly competitive fields in computer vision.

●    Execute research while keeping high standards of design and code quality.

●    Working in an iterative fashion, with timely reports & checkpoints.

●    Collaborate with various stakeholders, including software, product, data analysts, etc.

Minimum Qualifications:

●    M.Sc. in Computer Science, Electrical Engineering, or a relevant discipline.

●    2+ years experience in R&D positions in Computer vision / Machine Learning.

●    Innovative academic or industry research experience with peer-reviewed publications in the field of Computer Vision / Deep Learning.

●    Ability to initiate an lead machine learning project end-2-end.

●    Strong development skills - with proficiency in Python, deep learning frameworks such as PyTorch, or TensorFlow.

●    Strong communication and collaboration skills (we mean it!).

●    Familiarity with software dev. practices, tools, and methodologies, such as agile development, Git, and Jira.

Advantage:

●    Experience with Face Recognition, Detection and Tracking.

●    Experience with deep metric learning.

●    Experience with implementing research publications from scratch.

●    Experience with bringing algorithms from research to production level.

●    Cloud Training (GCP, AWS) in distributed fashion with immense datasets.