About the role

AI DNN applied researcher at GenAIz, working on transformative technologies in life sciences. Collaborate with teams to enhance patient health through research and development.

Responsibilities

Generate knowledge and create technologies by owning research projects: plan, propose, execute, and analyze results
Independently and proactively carry out each stage of your research with minimal supervision
Clearly communicate your research and results through appropriate documentation to diverse audiences (technical and non-technical)
Be a strong team player by actively participating in peer reviews, sharing ideas, and helping colleagues achieve their goals
Work closely with development teams to push research technology into production

Master’s degree or PhD
More than 5 years of industry experience on multidisciplinary research projects in scientific or engineering disciplines
Theoretical and empirical research experience in machine learning and AI
Ability to conduct research and analyze results
Experience working with business/product team requirements
Experience implementing and evaluating machine learning models that meet predefined metrics and product requirements
Experience applying deep neural networks to images
Ability to improve existing code and refine models
Experience creating and using datasets, preferably large-scale
Experience manipulating and analyzing data from multiple sources
Ability to write clean, reusable, production-ready code
Experience working with modern deep learning architectures such as Transformers
Familiarity with Python and deep learning frameworks such as Caffe, Keras, TensorFlow, PyTorch, NumPy and scikit-learn
Excellent verbal, written, and interpersonal communication skills