Machine Learning Engineer

2 months ago


Toronto, Ontario, Canada Socotra, Inc. Full time
About the Role

Socotra, Inc. is seeking a highly skilled Machine Learning Engineer to join our team. As a key member of our Machine Learning Platform team, you will play a critical role in developing and maintaining our central machine learning platform that powers our machine learning and optimization models.

Responsibilities
  • Collaborate with cross-functional teams, including Machine Learning Engineers, Data Scientists, Software Engineers, and Product Managers to develop advanced systems for business and user impact.
  • Evaluate and implement the most effective solutions for building and reusing existing components, including open-source solutions.
  • Design and develop production-quality code that scales with use.
Requirements
  • Bachelor's, Master's, or Ph.D. in Computer Science, a related technical field, or relevant work experience.
  • At least 3 years of industry or research experience developing ML models or infrastructure.
  • Passion for building scalable and extensible solutions for machine learning development and productionization towards short-term and long-term business and user impact.
  • Proficiency in Python, Golang, or other programming languages.
  • Excellent communication skills and fluency in English.
What We Offer
  • Extended health and dental coverage options, along with life insurance and disability benefits.
  • Mental health benefits.
  • Family building benefits.
  • Access to a Health Care Savings Account.
  • 15 days paid time off, with an additional day for each year of service.
  • 4 Floating Holidays each calendar year prorated based on date of hire.
  • 10 paid sick days per year regardless of province.
  • 18 weeks of paid parental leave.

Socotra, Inc. is an equal opportunity employer and welcomes applications from diverse candidates. We strive to create a healthy and safe workplace and strictly prohibit harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process.



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