Senior ML Engineering Lead — Data, MLOps & Vision

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

Benefits offered by this job

Healthcare benefits

401(k) plan

Stock option plan

Bonus plans

Job summary

Metropolis is seeking a Senior Manager, Machine Learning Engineering in Seattle, Washington. You will lead the technical vision for AI systems, oversee data engineering, ML infrastructure, and deployment of AI solutions. With over 10 years of experience required, you will develop scalable systems, manage a high-performance team, and collaborate across engineering groups. The anticipated salary ranges from $200,000 to $250,000 annually, with additional benefits including healthcare and stock options.

Qualifications

• 10+ years of professional experience in data and machine learning engineering.
• 5+ years of experience in leadership and managing teams.
• Strong experience in distributed data processing.

Responsibilities

• Build and maintain scalable data infrastructure for AI.
• Own the MLOps lifecycle and improve model performance.
• Lead a team of engineers to influence business outcomes.

Skills

Enterprise-scale ETL pipelines

Leadership and management

Distributed data processing

Data/eval pipelines

Deep learning frameworks (e.g. TensorFlow, PyTorch)

SQL

Python

Computer vision systems

Tools

Apache Spark

Kafka

Job description

Metropolis is seeking a Senior Manager, Machine Learning Engineering in Seattle, Washington. You will lead the technical vision for AI systems, oversee data engineering, ML infrastructure, and deployment of AI solutions. With over 10 years of experience required, you will develop scalable systems, manage a high-performance team, and collaborate across engineering groups. The anticipated salary ranges from $200,000 to $250,000 annually, with additional benefits including healthcare and stock options.