Principal Machine Learning Engineer

Cluster, Inc.

Seattle, WA, United States

about 1 month ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

10 years minimum

Working hours

Regular working hours

Job source

Tech stack

Distributed Systems Machine Learning Machine Learning Operations

Requirements

Design and implement scalable ML systems serving millions of users. Lead architecture decisions for ML infrastructure, model deployment, and real-time inference systems. Strong background in distributed systems and ML ops. 10+ years experience required.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

1:58 min

Verifying hardware access and exploring AI inference scaling

Piotr Zaniewski

Piotr Zaniewski · World Congress 2026 Europe

2:36 min

Applying supervised machine learning for practical rule extraction

Katja Träumner

1:29 min

Overcoming challenges in AI-assisted distributed system development

Przemysław Ładyński

Przemysław Ładyński · World Congress 2026 Europe

4:25 min

Optimizing agricultural practices through automated machine learning operations

Simi Olabisi · LIVE

2:48 min

Defining machine learning operations in a fragmented ecosystem

Nico Axtmann · World Congress 2022

2:19 min

Applying machine learning operations principles for robust automation

Simon Stiebellehner · World Congress 2021

Videos

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Effective Machine Learning - Managing Complexity with MLOps thumbnail

World Congress 2021 • about 5 years ago

Effective Machine Learning - Managing Complexity with MLOps

Simon Stiebellehner

DevOps for Machine Learning thumbnail

World Congress 2021 • about 5 years ago

DevOps for Machine Learning

Hauke Brammer

Introduction to Azure Machine Learning thumbnail

LIVE • over 4 years ago

Introduction to Azure Machine Learning

Jose Luis Latorre Millas

Best Practices for AI-Assisted Development of Distributed Systems thumbnail

World Congress 2026 Europe • about 2 months ago

Best Practices for AI-Assisted Development of Distributed Systems

Przemysław Ładyński

What non-automotive Machine Learning projects can learn from automotive Machine Learning projects thumbnail

World Congress 2022 • about 4 years ago

What non-automotive Machine Learning projects can learn from automotive Machine Learning projects

Jan Zawadzki

MLOps - What’s the deal behind it? thumbnail

World Congress 2022 • about 4 years ago

MLOps - What’s the deal behind it?

Nico Axtmann

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