Machine Learning Engineer III, Data

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 tha

t.
The core responsibilities of this role a

• re:

  Design and train high-performance computer vision models for automated damage detection, focusing on precision, recall, and model robus

• tness.Architect and maintain high-throughput, containerized microservices for model serving using REST/gRPC to ensure low-latency perfor
• mance.Collaborate with business stakeholders to translate complex inspection requirements into scalable, production-grade ML solu
• tions.Own the end-to-end model lifecycle, from experimentation and design to deployment and optimization in high-traffic environ
• ments.Design and maintain robust data pipelines using Kafka to ensure high-fidelity inputs for model serving and infe
• rence.Perform additional duties as ass

igned.
Required Qualific

• ations:
  Graduate education (MS or PhD) in a computationally intensive domain or equivalent work exp
• erience.3+ years of prior computer vision ex
• perienceAdvanced proficiency with Computer Vision frameworks (e.g., PyTorch, OpenCV, TensorFlow) and Pyt
• hon/SQL.Experience designing and maintaining visual data annotation pipelines and evaluation frameworks for complex, real-world image d
• atasets.Experience optimizing high-latency models for real-time i
• nferenceBackend software engineering experience in the cloud (AWS / GCP) with a focus on microservices (docker) and the ML model development li
• fecycle.Experience building and maintaining streaming data pipelines (e.g., Kafka) for real-time model

serving.
Preferred Qualif

• ications:
  Knowledge of ML frameworks and libraries, such as Kubeflow, Databricks, KServe
• and so onExperience designing evaluation frameworks for complex v