> Markdown version of [/jobs/ext/4590940-machine-learning-engineer-iii-data](https://www.wearedevelopers.com/jobs/ext/4590940-machine-learning-engineer-iii-data). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer III, Data - **Company:** ACV Auctions - **Location:** Buffalo, NY, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Computer Vision, Python (Programming Language), Machine Learning, OpenCV, Tensorflow, Software Engineering, SQL Databases, Pytorch, Backend, Kubernetes, Real-time Inference, Apache Kafka, Machine Learning Operations, Data Pipelines, Docker, KServe, Databricks, Microservices - **Published:** November 5, 2026 - **Apply:** https://www.careerbuilder.com/job-details/machine-learning-engineer-iii-data-buffalo-ny--6362ba00-3550-406e-bb98-23258b571054 ## About the Role Machine Learning, Team Player, Technical Support, Sales, Automotive Industry, Automotive Sales, eCommerce Sales, Health Plan, Legal, Regulations, * 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 #LI-AM3, 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 applicants relevant experience, skill set, location, business needs, market demands, and other factors as permitted by law. ## Description ACVs Machine Learning organization is looking for a talented Machine Learning Engineer III to join our ML inspection team. In this role, youll 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. Youll 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, youll 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. Youll identify opportunities, shape solutions end-to-end, and take ownership of outcomes. You connect the dots between stakeholder needs and whats 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.