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NEXTMOVEFDE careers · United States
Metropolis

Senior Manager, Machine Learning Engineering

AI summary of the role

Senior Manager leading ML infrastructure, data engineering, annotation pipelines, and agentic AI deployment within Metropolis's Advanced Technologies Group.

What you’ll do

  • Build and maintain scalable, compliant data infrastructure for computer vision and AI pricing use cases
  • Build scalable data engineering pipelines and automated annotation workflows (LLM-in-the-loop)
  • Own the MLOps lifecycle including distributed training infrastructure, model registries, and low-latency inference services
  • Develop foundational systems to productionize agentic AI, LLMs, and VLMs for workflow automation

What you’ll bring

  • 10+ years professional experience in data and machine learning engineering with enterprise-scale ETL pipelines
  • 5+ years leadership/management experience, ideally having managed other managers
  • MS or PhD in computer science and/or quantitative discipline
  • Strong experience in distributed data processing (Apache Spark, Kafka, cloud-native services)

Technologies

Apache Spark · Kafka · TensorFlow · PyTorch · SQL · Python · LLM · VLM · computer vision · MLOps

About Metropolis

Computer-vision platform that recognizes vehicles for checkout-free parking payments, now expanding the same recognition layer into retail, hospitality, fueling and stadiums.

Series D · 5000+ people

Source and classification

Internal deployment & tooling · Evidence for this classification:

pillars within the Machine Learning org:data engineering, annotation pipelines, ML Infrastructure and Deployment of Agentic AI solutions. You are a hands-on, senior technical leader with a broad dynamic range, capable of providing high-level strategic direction while remaining technically proficient enough to dive into the weeds with your team. Your mission is to transition state-of-art models into robust, autonomous production systems that automate complex enterprise workflows.You will partner closely with internal engineering teams and external vendors to build the scalable tools and data pipelines that define the future of recognition economy. What you'll do 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
More from the job description

Who we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it. Who you are Metropolis is seeking a Senior Manager of Machine Learning Engineering within the Advanced Technologies Group to lead the technical vision and execution of our foundational systems that power our next generation of AI. You will oversee 4 critical pillars within the Machine Learning org:data engineering, annotation pipelines, ML Infrastructure and Deployment of Agentic AI solutions. You are a hands-on, senior technical leader with a broad dynamic range, capable of providing high-level strategic direction while remaining technically proficient enough to dive into the weeds with your team. Your mission is to transition state-of-art models into robust, autonomous production systems that automate complex enterprise workflows.You will partner closely [... source excerpt omitted ...] 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 Collaborate 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 [... source excerpt omitted ...] ffice-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $200,000.00 USD to $250,000.00 USD annually. The actual base salary offered is determined by a number of vari

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