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Machine Learning Engineer III, Data

ACV Auctions
Toronto
Experience2-3 years
Salary Not disclosed
LocationToronto
Job TypeFull time
Skills: Machine Learning Python TensorFlow PyTorch Computer Vision
Job Description
Job Title: Machine Learning Engineer III, Data Company: ACV Auctions Job Category: Machine Learning Roles & Responsibilities: At ACV we focus on the Health, Physical, Financial, Social and Emotional Wellness of our Teammates and to support this we offer: What you will do: ACV's Machine Learning organization is looking for a talented Machine Learning Engineer III 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. * Perform additional duties as assigned. Work Location: Toronto, Ontario, Canada Availability: Full time
Requirements
* 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. Required Qualifications: * Graduate education (MS or PhD) in a computationally intensive domain or equivalent work experience. * 3\+ years of prior computer vision experience * Advanced proficiency with Computer Vision frameworks (e.g., PyTorch, OpenCV, TensorFlow) and Python/SQL. * Experience designing and maintaining visual data annotation pipelines and evaluation frameworks for complex, real\-world image datasets. * Experience optimizing high\-latency models for real\-time inference * Backend software engineering experience in the cloud (AWS / GCP) with a focus on microservices (docker) and the ML model development lifecycle. * Experience building and maintaining streaming data pipelines (e.g., Kafka) for real\-time model serving. Preferred Qualifications: * Knowledge of ML frameworks and libraries, such as Kubeflow, Databricks, KServe and so on * Experience designing evaluation frameworks for complex visual data Trust \& Transparency \| People First \| Positive Experiences \| Calm Persistence \| Never Settling We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires reasonable accommodation, please let us know. Compensation : The compensation range for this position is listed in the "Job Details" section at the bottom of this posting. Please note that final compensation will be determined based upon the applicant's relevant experience, skillset, location, business needs, market demands, and other factors as permitted by law. Key Skills: Machine Learning, Python, TensorFlow, PyTorch, Computer Vision Salary: Not disclosed
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