Remote Otter LogoRemoteOtter

Senior Machine Learning Engineer - Remote

Posted 20 weeks ago
Software Development
Full Time
CAN.AB.Calgary
$148,000 - $222,000 CAD/year

Overview

As a Senior Machine Learning Engineer at Workday, you will be part of a team that is committed to developing innovative AI solutions that impact millions of users globally.

In Short

  • Work on machine learning and AI products that enhance enterprise software.
  • Analyze, design, program, debug, and modify software improvements.
  • Collaborate with teammates on code reviews and knowledge sharing.
  • Write and maintain robust, efficient, and testable code.
  • Focus on performance, scalability, and resilience of software.
  • Engage in creative problem-solving with data-driven insights.
  • Work in a flexible environment with a mix of remote and in-office work.
  • Participate in hackathons and team-building activities.
  • Contribute to a culture that values inclusion and collaboration.
  • Be part of a leading technology company with a strong employee-centric culture.

Requirements

  • 6+ years of experience in software development or machine learning.
  • 5+ years of experience with object-oriented programming languages.
  • Strong understanding of Agile methodologies.
  • Ability to write clean, modular, and well-documented code.
  • Experience with unit testing and integration testing tools.
  • Familiarity with JSON, Avro, and integration technologies.
  • Experience in designing business applications is a plus.
  • Excellent communication and teamwork skills.
  • Knowledge of UML modeling and diagrams.
  • Ability to translate business requirements into technical solutions.

Benefits

  • Competitive salary range of $148,000 - $222,000 CAD/year.
  • Eligibility for Workday Bonus Plan and stock grants.
  • Flexible work schedule combining remote and in-office work.
  • Comprehensive benefits package.
  • Strong commitment to employee well-being and development.
  • Supportive and inclusive work culture.
  • Opportunities for professional growth and learning.
  • Engagement in community and environmental initiatives.
  • Access to a diverse and talented team.
  • Participation in team-building events and hackathons.

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