Hiring: Senior Manager, Machine Learning Engineering Company: Metropolis Technologies Location: Seattle, WA Job Posted Time: 2026-09-10 12:06:32 Employment Type: On-site Target Skills & Keywords : AI, Cloud Native, Computer Vision, Data Pipeline, Deep Learning, ETL, Feature Store, Kafka, LLM, MLOps, Machine Learning, PyTorch, Python, SQL, Spark, TensorFlow About the job Experience: •10+ years of professional experience in data and machine learning engineering with proven expertise in building enterprise-scale, auditable ETL pipelines and data governance mechanisms •5+ years of experience in leadership and management, ideally having managed other managers •1+ years experience building data /eval pipelines and deploying agentic AI solutions (LLMs and/or VLMs) Required Skills: •Build and maintain scalable, compliant and auditable data infrastructure to serve computer vision and AI pricing use cases •Build scalable data engineering pipelines and automated annotation workflows (LLM-in-the-loop) to reduce reliance on manual labeling and accelerate model iteration •Own the MLOps lifecycle, including distributed training infrastructure, model registries, and low-latency inference services. Ensure high availability and observability for all deployed models •Define technical direction, lead and grow a high-performance team of data and ML infrastructure engineers to influence impactful business outcomes •Develop foundational systems to productionize agentic AI, Large Language Models (LLMs) and Vision Language Models (VLMs) solutions for workflow automation to enhance our products •Enable Metropolis’s move into personalization and targeted advertisement through innovative ML data pipelines and feature stores •Partner cross-functionally with external vendors and annotation platform providers to ensure high-quality data for production models •Partner with other ML leaders (Growth , Edge deployment) and cross-functional leaders in Hardware, Platform, and Product engineering to align development roadmaps Qualifications: •Partner closely with internal engineering teams and external vendors to build the scalable tools and data pipelines that define the future of recognition economy. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!