Machine Learning Engineer III, 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. (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.

What you will do

• 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.
• Design and train damage detection models while architecting the high-throughput serving infrastructure needed to keep those models performant under real production loads.
• 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.

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.

Our Values

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

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, skill set, location, business needs, market demands, and other factors as permitted by law.