Machine Learning Engineer IV, Data

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. 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 includes ACV Auctions, ACV Transportation, Clear Car, MAX Digital and ACV Capital within its Marketplace Products, as well as True
360 and Data Services.

• Multiple medical plans including a high deductible, low cost health plan
• Company-sponsored (paid) Short-Term Disability, Long-Term Disability, and Life Insurance
• Comprehensive optional benefits such as Dental, Vision, Supplemental Life/AD&D, Legal/, and Accident and Critical Illness Insurance
• Generous paid time off options, including uncapped vacation days, the greater of 3 paid sick days or in accordance with the applicable state or local paid sick leave law, 6 paid company holidays, 2 floating holidays, parental leave, bereavement leave, jury duty leave, voting leave, and other forms of paid leave as required by applicable law or regulation
• Employee Stock Purchase Program with additional opportunities to earn stock in the Company
• Retirement planning through the Company’s 401(k)

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.

• 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.

• Graduate education (MS or PhD) in a computationally intensive domain or equivalent work experience.
• 5+ years of prior computer vision experience
• Advanced proficiency with Computer Vision frameworks (e.g., PyTorch, OpenCV, Tensor Flow) 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.

• Knowledge of ML frameworks and libraries, such as Kubeflow,…