Fundamental Ai Research Scientist - Toronto, Ontario

aerzteforum.info

Toronto, Ontario, Canada
Base: 114,333.60 - 150,062.85; bonus/equity: varia...
Fundamental ai research
Deep learning
Reinforcement learning
You will work efficiently in a team to work on fundamental AI research problems, customise solutions to various applications and deliver projects optimally, researching, developing and using the novel AI theories, methodologies, and algorithms, with engineering best practices and standard processes for various biology, chemistry and clinical applications

Job Summary

  • You will work efficiently in a team to work on fundamental AI research problems, customise solutions to various applications and deliver projects optimally, researching, developing and using the novel AI theories, methodologies, and algorithms, with engineering best practices and standard processes for various biology, chemistry and clinical applications.
  • You will contribute to addressing challenges and opportunities in the drug discovery and development value chain processes and provide innovative solutions in fields such as deep learning, representation learning, reinforcement learning, meta-learning, active learning approaches applied to de novo molecule design, protein engineering, in-silico discovery, structural biology, genetic engineering, synthetic biology, computational biology, translational sciences, biomarker discovery, clinical research, clinical trials and many other areas.
  • Join us in our unique and ambitious world. Join the team, unlocking the power of what science can do.

Matching Summary

You will work efficiently in a team to work on fundamental AI research problems, customise solutions to various applications and deliver projects optimally, researching, developing and using the novel AI theories, methodologies, and algorithms, with engineering best practices and standard processes for various biology, chemistry and clinical applications.

Salary

Base: 114,333.60 - 150,062.85; Bonus/Equity: Variable Pay Bonus/Short Term Incentive opportunity and equity-based long-term incentive program; Benefits: Flex Benefits & Retirement Savings Program, 4 weeks’ paid vacation, annual Personal Days

Skills & Requirements

Must-have

  • fundamental AI research
  • deep learning
  • reinforcement learning
  • statistical inference
  • probability theory
  • computational geometry
  • representation learning
  • NLP
  • control theory
  • meta-learning
  • information theory
  • knowledge representation
  • search and optimisation
  • transfer learning
  • probabilistic programming
  • computational linguistics
  • geometric methods

Nice-to-have

  • collaboration across disciplines
  • lifelong learning
  • innovative breakthroughs
  • domain knowledge in biology
  • open-source projects
  • cloud computing environments

Key Requirements

  • PhD in machine learning, statistics, computer science, mathematics, physics, or related
  • Equivalent practical experience
  • Fundamental AI research and development experience
  • Rigorous scientific methodology application
  • Theoretical understanding and quantitative knowledge
  • Algorithmic development and programming experience
  • Python or other programming languages
  • Machine learning toolkits
  • Deep learning frameworks
  • Effective communication and collaboration skills
  • Expertise in at least one research area

Work Rights

Not specified

Tailored Resume

Cover Letter