H/F Machine Learning Engineer

2 months ago


Old Toronto, Canada ACV Full time
We will continue to raise the bar every day by investing in our people and technology to help our customers succeed. p>

Who we are:

ACV is a technology company that has revolutionized how dealers buy and sell cars online. We are transforming the automotive industry. ACV), has applied innovation and user-designed, data-driven applications and solutions. We are building the most trusted and efficient digital marketplace with data solutions for sourcing, selling and managing used vehicles with transparency and comprehensive insights that were once unimaginable. ACV’s network of brands includes ACV Auctions, ACV Transportation, ClearCar, MAX Digital and ACV Capital within its Marketplace Products, as well as True360 and Data Services.

At ACV we focus on the Health, Physical, Financial, Social and Emotional Wellness of our Teammates and to support this we offer:

  • Company Sponsored (paid) Healthcare, Dental, Vision, Life/AD&D, Short-Term and Long-Term Disability
  • Comprehensive additional optional benefits such as Critical Illness and Supplemental Life/AD&D.
  • Retirement planning through the Company’s RRSP.

Who we are looking for:

ACV’s Machine Learning Team is looking for a talented, experienced Machine Learning Engineer to join our pricing domain. p>

Successful candidates will demonstrate excellent skill and maturity, be self-motivated as well as team-oriented, and have the ability to support the development and implementation of end-to-end ML-enabled software solutions to meet the needs of internal stakeholders. Those who will excel in this role will be those who listen with an ear to the overarching goal, not just the immediate concern that started the query. They will be able to show their recommendations are contextually grounded in an understanding of the practical problem, the data, and theory as well as what product and software solutions are feasible and desirable.

What you will do:

  1. Working with fellow machine learning engineers to explore and refine the existing models via creative feature engineering and model tuning.
  2. Mining structured & unstructured data, and performing EDAs.
  3. Monitoring performance of models in production.

What you will need:

  1. Graduate education in a computationally intensive domain.
  2. 3-6 years of prior relevant work or lab experience in ML projects/research, and 1+ years as tech lead or major contributor on cross-team projects.


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