Sr. Machine Learning Engineer

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 datasolutions 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 we are looking for:

ACV’s Machine Learning Team is looking for a talented, experienced Machine Learning Engineer, to join our pricing domain. You will be leading the research and development of models that power the prediction of vehicle sale prices on the ACV marketplace.

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:

• Working with the fellow machine learning engineers to explore and refine the existing models via creative feature engineering and model tuning.

• Developing ML models from proof of concept to Production.

• Mining structured & unstructured data, and performing EDAs.

• Documenting the work process, including experiments, parameter tuning etc.

• Monitoring performance of models in production.

Required Qualifications:

• 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

• Strong sense and skills in mathematics, statistics and algorithms. Experience with regression analysis and classification analysis is essential.

• Experience with EDA, including data pipeline building and data visualization.

• Advanced proficiency with Python, SQL etc.

• Extensive knowledge of ML frameworks and libraries. Experience on tree-based algorithms (XGBoost, CatBoost, LightGBM etc.), and Generalized linear models (GLM) are highly valued.

Preferred Qualifications:

• Experience with model interpretation.

• Experience with cloud services (AWS / GCP), docker, and CI/CD pipelines.

• Experience with Bash scripting #LI-AM1