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Team Lead

3 months ago

Old Toronto Ontario, CA ACV Full time

If you are looking for a career at a dynamic company with a people-first mindset and a deep culture of growth and autonomy, ACV is the right place for you Competitive compensation packages and learning and development opportunities, ACV has what you need to advance to the next level in your career. We will continue to raise the bar every day by investing in our people and technology to help our customers succeed. We hire people who share our passion, bring innovative ideas to the table, and enjoy a collaborative atmosphere.

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 Auctions Inc. (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. We are disruptors of the industry and we want you to join us on our journey. 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

Who are you looking for:

ACV’s Machine Learning Team is looking for a talented, experienced Machine Learning (ML) Engineer to lead the development of our machine learning operations. You will be leading a team of engineers to set up ML model training pipelines, deploying APIs around ML models, and monitoring ML models that power the ACV’s document processing and vehicle pricing

Successful candidates will demonstrate excellent skill and maturity, be self-motivated as well as team-oriented, and can 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:

  • Actively and consistently support all efforts to simplify and enhance the customer experience.
  • Leading a team of machine learning engineers to build, automate, and deploy ML models and pipelines in production.
  • Enact ML best practices for the team to follow.
  • Developing ML model pipelines from proof of concept to production.
  • Documenting the work process, including pipeline set up, experiment execution, and model deployment.
  • Monitoring performance of models in production.
  • Collaborate with stakeholders to help meet their objectives and provide them with periodic status updates

What you will need:

  • Graduate Degree -Computationally intensive domain
  • Ability to read, write, speak, and understand English.
  • Experience with building data pipelines (Kubeflow, sklearn pipelines, etc.).
  • Experience with building and deploying REST APIs (Flask, FastAPI)
  • Strong sense and skills in mathematics, statistics, and algorithms. Experience with regression analysis and classification analysis is essential.
  • Advanced proficiency with Python and SQL (BigQuery/MySQL).
  • Extensive knowledge of ML frameworks and libraries. (Feast, MLFlow, BentoML, etc.)
  • Experience with cloud services (AWS / GCP), Docker, Kubernetes, and CI/CD pipelines.
  • Monitor models performance and microservices health status in Production.

Preferred Qualifications:

  • Experience with ML model development lifecycles
  • Experience with Bash scripting

Our Values

Trust & Transparency | People First | Positive Experiences | Calm Persistence | Never Settling

Our Values

Trust & Transparency | People First | Positive Experiences | Calm Persistence | Never Settling

For information on our collectionand use of your personal information, please see our Privacy Notice.

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