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 equivalent work experience.5+ years of prio

📌 Machine Learning Engineer IV, Data (Río Cuarto)
🏢 Tribeca Venture Partners
📍 Río Cuarto