Hire Top ML Engineers in Seattle

Seattle ML engineers power production ML at AWS SageMaker, Microsoft AI Platform, AI21, and a growing wave of cloud-native ML startups. GitHunt ranks Seattle ML engineers by their real GitHub work.

100M+
GitHub developers
74
Developers found
Top 3%
Elite talent

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Preview: Top 10 of 74 Developers

Showing a curated sample of elite developers from our talent index.

#1
Bayram Annakov

Bayram Annakov

@BayramAnnakov
88
Match Score

Founder & CEO @onsa.ai

Seattle, WA, USA
onsa.ai
#2
Mark Neumann

Mark Neumann

@DeNeutoy
88
Match Score

Research and Engineering at Orbital Materials. Making deep nets do stuff. BC: Allen Institute for AI - ELMo, AllenNLP, Scispacy.

Seattle
Orbital Materials
#3
Rebecca Turner

Rebecca Turner

@9999years
83
Match Score
seattle
@MercuryTechnologies
#4
Ahacad

Ahacad

@Ahacad
83
Match Score

Be awesome. Happy hacking. いただきます!

Seattle, WA, US
@AWS
#5
Isaías Hernandez

Isaías Hernandez

@Cool-Coder174
81
Match Score

Passionate Software Engineer

Seattle
@IQON-Digital
#6
Pedro Rodriguez

Pedro Rodriguez

@EntilZha
81
Match Score

Research Scientist @ FAIR Labs (@facebookresearch) NLP, Retrieval-Augmented Language Models, QA, Data + Eval; PhD in CS from UMD, Berkeley CS Grad;

Seattle, WA
@facebookresearch, FAIR Labs
#7
Sparsh Nagpal

Sparsh Nagpal

@0sparsh2
80
Match Score

Data Scientist | Builder | Student

Seattle, Washington, United States
#8
David Obando

David Obando

@DavidObando
78
Match Score

Software Engineer

Seattle, WA
Microsoft
#9
Chris Dryden

Chris Dryden

@ChrisDryden
77
Match Score

2T0 - UofT Comp. Eng. - Soft. Eng. @ Citadel Securities 🇷🇺 🇬🇷 🇬🇹 🇵🇪 🇨🇦 🇺🇸

Seattle, Washington
@Citadel Securities
#10
Austin Henley

Austin Henley

@AZHenley
76
Match Score

Applied science at Microsoft⚡️AI and developer tools⚡️ex startup, ex professor at Carnegie Mellon University

Seattle

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Why Hire ML Engineers in Seattle?

🎯
Hire engineers shaped by AWS SageMaker and Microsoft AI Platform - rare production-ML platform depth at hyperscaler scale.
💼
Tap strong PyTorch, TensorFlow, MLflow and Azure ML / SageMaker talent with significant enterprise ML-deployment experience.
🚀
Source ML engineers with regulated-industry production experience (healthcare, finance, government) - critical for enterprise AI-product buyers.

About ML Engineers

Senior Seattle ML engineers ship training pipelines, evaluation infrastructure, and production model serving at enterprise scale. The strongest Seattle candidates are AWS, Microsoft or AI-native startup alumni with strong OSS profiles.

Seattle's hyperscaler culture produces ML engineers fluent in enterprise-grade ML deployment, governance and compliance - rare and valuable for enterprise buyers. GitHunt surfaces this via commits.

Market Insights: ML Engineers in Seattle

The 2026 Seattle ML engineering market is competitive but more candidate-available than 2023 after recent AWS and Microsoft layoffs. Senior IC base salaries sit at $210k-$300k.

A pattern LinkedIn misses: many Seattle ML engineers contribute to SageMaker SDKs, Azure ML or MLflow OSS. GitHunt indexes them via commits.

Use GitHunt to find Seattle ML engineers in days, with verified GitHub-backed ML production experience.

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