Machine Learning Engineer IV, Data
ACV Auctions·Bain Capital Ventures (Consider)
Toronto, CanadaData Scientist, Machine Learning Engineer, Software Engineer$80k–$180kPosted Jul 2, 2026
ApplySkip to ContentSearch JobsJob Search English (United States)Sign InMachine Learning Engineer IV, DataReq #6111Toronto, ON, CanadaApplyShareJob DescriptionPosted Thursday, July 2, 2026 at 4:00 AMIf 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. Our network of brands include 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.
What you will do:
ACV's Machine Learning organization is looking for a talented Machine Learning Engineer IV to join our ML inspection team. In this role, you'll drive end-to-end computer vision solutions processing hundreds of thousands of vehicle inspections annually into reliable, actionable insights, directly reducing inspection turnaround time, improving valuation accuracy, and scaling the capabilities of our inspection platform. You'll design and train damage detection models while architecting the high-throughput serving infrastructure needed to keep those models performant under real production loads. As ACV continues to grow, you'll play a direct role in ensuring our inspection capabilities remain accurate, efficient, and resilient at scale.
This role goes beyond executing on a defined roadmap. You'll identify opportunities, shape solutions end-to-end, and take ownership of outcomes. You connect the dots between stakeholder needs and what's technically feasible, bringing recommendations grounded in both theory and practical constraints. When you hear a narrow question, you think about the broader system it lives in and build toward that.
The core responsibilities of this role are:
Design and train high-performance computer vision models for automated damage detection, focusing on precision, recall, and model robustness.
Architect and maintain high-throughput, containerized microservices for model serving using REST/gRPC to ensure low-latency performance.
Collaborate with business stakeholders to translate complex inspection requirements into scalable, production-grade ML solutions.
Own the end-to-end model lifecycle, from experimentation and design to deployment and optimization in high-traffic environments.
Design and maintain robust data pipelines using Kafka to ensure high-fidelity inputs for model serving and inference.
Required Qualifications:
Graduate education (MS or PhD) in a computationally intensive domain or...