Senior ML Engineer — AI-First Production Leader

WeHireYou

Seattle (WA)

On-site

USD 180,000 - 240,000

Full time

14 days+
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Job summary

Amperity is hiring a Senior Machine Learning Engineer to lead production ML projects and own critical pieces of ML architecture. You’ll collaborate with engineers, data scientists, and product managers to deliver scalable ML systems that drive measurable customer impact.

The role emphasizes an AI-first approach, strong ownership, and mentoring teammates while building end-to-end pipelines, from data ingestion to model serving, with a focus on reliability and performance.

Qualifications

  • 5+ years building production ML systems and pipelines.
  • Experience leading complex ML projects within a team.
  • Expertise in ML deployment, model serving, and monitoring.
  • Python expertise and familiarity with ML frameworks (XGBoost, PyTorch, PySpark).
  • Experience with cloud-native ML infra, containers, and orchestration (Kubernetes, Docker).

Responsibilities

  • Lead complex, ambiguous ML projects and own deep ML architecture.
  • Collaborate with Applied Scientists, Software Engineers, and Product Managers to deliver production ML systems.
  • Embrace AI tools to accelerate development and improve code quality.
  • Design CI/CD pipelines and deployment architecture for ML systems.
  • Establish SLOs and incident response for production ML.

Skills

5+ years production ML
Python
Kubernetes
Docker
PyTorch
XGBoost
PySpark
ML pipelines
Cloud-native ML infra
Mentoring

Tools

MLflow
Feature stores
Model serving frameworks

Job description

Amperity is hiring a Senior Machine Learning Engineer to lead production ML projects and own critical pieces of ML architecture. You’ll collaborate with engineers, data scientists, and product managers to deliver scalable ML systems that drive measurable customer impact.

The role emphasizes an AI-first approach, strong ownership, and mentoring teammates while building end-to-end pipelines, from data ingestion to model serving, with a focus on reliability and performance.

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