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Position: Machine Learning Engineer
Institution: Waabi Innovation Inc.
Location: Canada, United States
Duties: Contribute and build the self-driving engineering foundations to develop the next generation autonomy software across several machine learning projects; Be part of a team of multidisciplinary Engineers and Researchers using an AI-first approach to enable safe self-driving at scale; Implement and improve machine learning training and inference pipelines; Make iterations on the models for improvements; Identify, propose and build infrastructure, data and computation pipelines, data storage strategies, common libraries and useful tools needed to optimize research and development of deep-learning models
Requirements: MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study; Solid coding proficiency in Python or C++; ​​- Some experience in reading and developing production quality software, versus only creating prototypes/proof of concepts; Experience in software architecture, system performance, latency and data flow; Experience in Machine Learning
   
Text: Machine Learning Engineer Contribute and build the self-driving engineering foundations to develop the next generation autonomy software across several machine learning projects; Be part of a team of multidisciplinary Engineers and Researchers using an AI-first approach to enable safe self-driving at scale; Implement and improve machine learning training and inference pipelines; Make iterations on the models for improvements; Identify, propose and build infrastructure, data and computation pipelines, data storage strategies, common libraries and useful tools needed to optimize research and development of deep-learning models MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study; Solid coding proficiency in Python or C++; ​​- Some experience in reading and developing production quality software, versus only creating prototypes/proof of concepts; Experience in software architecture, system performance, latency and data flow; Experience in Machine Learning
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