Machine Learning Engineer III, Data

• 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.

• Knowledge of ML frameworks and libraries, such as Kubeflow, Databricks, KServe and so on
• Experience designing evaluation frameworks for complex visual data

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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.