Senior Manager, Machine Learning Engineering
Metropolis is seeking a Senior Manager of Machine Learning Engineering to lead the technical vision and execution of foundational systems powering our next generation of AI. This role is part of the Advanced Technologies Group and focuses on data engineering, annotation pipelines, ML infrastructure, and deployment of agentic AI solutions. The successful candidate will be a hands-on technical leader capable of providing strategic direction while remaining technically proficient.
Key responsibilities include building and maintaining scalable, compliant, and auditable data infrastructure to support computer vision and AI pricing use cases. The role involves developing scalable data engineering pipelines and automated annotation workflows to reduce reliance on manual labeling and accelerate model iteration. Additionally, the manager will own the MLOps lifecycle, ensuring high availability and observability for all deployed models, and will lead a high-performance team to influence impactful business outcomes.
The ideal candidate will have over 10 years of experience in data and machine learning engineering, with proven expertise in building enterprise-scale, auditable ETL pipelines and data governance mechanisms. A minimum of 5 years in leadership and management roles is required, ideally with experience managing other managers. An MS or PhD in computer science or a related quantitative discipline is preferred. Strong experience in distributed data processing technologies like Apache Spark and Kafka, as well as proficiency in SQL and Python, are essential. Familiarity with deep learning frameworks such as TensorFlow or PyTorch and experience with computer vision systems are also important.
Metropolis offers a competitive compensation package, including a base salary ranging from $200,000 to $250,000 annually. Additional benefits include healthcare coverage, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, and bonus plans. The company values in-person collaboration and requires employees to be on-site at least four days a week to foster organic interactions that spark creativity and connection.
Joining Metropolis means becoming part of a team of world-class product leaders and engineers building an ecosystem of technologies at the intersection of parking, mobility, and real estate. The company is committed to creating an inclusive culture where everyone has a voice, and the best idea wins. This role offers the opportunity to play a key part in building and maintaining this culture as the organization grows.