Formation Machine Learning Engineer
2 weeks ago
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 Critical Illness and Supplemental Life/AD&D.
- All insurance benefits go into effect on your date of hire
- Generous Parental Leave Top-Up Pay and Vacation Programs
- Employee Stock Purchase Program with additional opportunities to earn stock in the company
- Retirement planning through the Company’s RRSP
ACV’s Machine Learning Team is looking for a talented, experienced Machine Learning Engineer, to join our pricing domain. br/>
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:
- Work with fellow machine learning engineers to explore and refine the existing models via creative feature engineering and model tuning.
- Mine structured & unstructured data, and perform EDAs.
- Monitor performance of models in production.
- Graduate education in a computationally intensive domain.
- 5+ years of prior relevant work or lab experience in ML projects/research.
- 1+ year as tech lead or major contributor on cross-team projects.
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