# Senior Manager, Machine Learning Engineering

**Company:** [Metropolis](https://hotfix.jobs/companies/metropolis)
**Location:** Seattle, WA
**Role:** Engineering Management
**Salary:** $200k – $250k/yr
**Experience:** 10+ years
**Skills:** Spark, Kafka, TensorFlow, PyTorch, SQL, Python, MLOps, LLMs, Vlms, Computer Vision
**Posted:** 2026-05-13

> Leads team building scalable ML infrastructure, MLOps pipelines, and data systems for computer vision, agentic AI, LLMs/VLMs. Requires 10+ years ML engineering, 5+ years leadership, MS/PhD, expertise in Spark, Kafka, deep learning frameworks.

## Job Description

## 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 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

## What we're looking for

- 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
- 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+ years 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)

**While not required, these are a plus:**

- Manage large scale datasets and database tools for data processing
- Deploy ML services to the cloud with a focus on scalability and reliability
- Operate in innovative, high-growth environments

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**Apply:** https://hotfix.jobs/jobs/1c785078-8f9c-4b79-8164-b6c7686475ba
**Canonical:** https://hotfix.jobs/jobs/1c785078-8f9c-4b79-8164-b6c7686475ba