Senior ML Engineering Leader — Data, MLOps & Agentic AI

Metropolis Technologies; Seattle (WA); On-site; USD 200,000 - 250,000; Full time

Benefits offered by this job

Healthcare benefits

401(k) plan

Disability insurance

Stock options

Bonus plans

On-site 4 days in office

Job summary

Metropolis Technologies is seeking a Senior Manager of Machine Learning Engineering within the Advanced Technologies Group to lead the technical vision and delivery of foundational systems powering our AI platform, including data engineering, annotation pipelines, ML infrastructure and deployment of agentic AI.

You will build and scale data infrastructure, own MLOps, and guide a high‑performing team to productionize LLMs/VLMs, collaborate with vendors, and align roadmaps with product and growth

Qualifications

• 10+ years of professional experience in data and machine learning engineering with proven expertise in building enterprise-scale, auditable ETL pipelines and data governance.
• 5+ years of leadership and management, ideally having managed other managers.
• MS or PhD in computer science and/or a quantitative discipline.
• Strong experience in distributed data processing like Apache Spark, Kafka, Cloud native data storage and processing services
• 1+ year experience building data/eval pipelines and deploying agentic AI solutions (LLMs and/or VLMs).
• Experience managing technical programs, defining milestones, and communicating progress to diverse audiences.
• Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
• Strong proficiency with SQL and Python
• Engage effectively with external data providers and vendors.
• Familiarity with computer vision systems and models (e.g. object detection, tracking, segmentation).

Responsibilities

• Build and maintain scalable, auditable data infrastructure for 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.
• 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 Product engineering to align development roadmaps.

Skills

Data ML engineering

Leadership / management

SQL

Python

TensorFlow / PyTorch

Education

MS or PhD in computer science

Tools

Apache Spark

Kafka

Cloud native storage

TensorFlow

PyTorch

Job description

Metropolis Technologies is seeking a Senior Manager of Machine Learning Engineering within the Advanced Technologies Group to lead the technical vision and delivery of foundational systems powering our AI platform, including data engineering, annotation pipelines, ML infrastructure and deployment of agentic AI.

You will build and scale data infrastructure, own MLOps, and guide a high‑performing team to productionize LLMs/VLMs, collaborate with vendors, and align roadmaps with product and growth