AI DNN Applied Researcher

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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

Requirements

  • 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

Benefits

  • Permanent full-time position
  • Competitive base salary + bonus
  • Comprehensive insurance coverage
  • Dynamic company culture with opportunities for career growth
  • Flexible working hours

Job type

Full Time

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Postgraduate Degree

Tech skills

CaffeKerasNumpyPythonPyTorchScikit-LearnTensorflow

Location requirements

RemoteCanada

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