Staff Machine Learning Engineer, Credit Products (Square Financial Services)
Block • Seattle, WA, United States of America
remote
AI / ML Engineer Jobs in Seattle
22 positions available in WA. Cloud computing capital with 300K+ software, e-commerce, and drone jobs
Tech Lead/Manager, Machine Learning Research Scientist- LLM Evals
Scaleai • San Francisco, CA; Seattle, WA; New York, NY
onsite
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Start My Free SearchStaff Machine Learning Research Scientist, LLM Evals
Scaleai • San Francisco, CA; Seattle, WA; New York, NY
onsite
Senior / Staff Machine Learning Research Scientist, Agents
Scaleai • San Francisco, CA; Seattle, WA; New York, NY
onsite
Manager, Machine Learning Research Scientist, GenAI
Scaleai • San Francisco, CA; Seattle, WA; New York, NY
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Machine Learning Research Scientist, Reasoning
Scaleai • San Francisco, CA; Seattle, WA; New York, NY
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Related Roles in Seattle
AI / ML Engineer in Other Cities
What Does a AI / ML Engineer Do?
AI/ML engineers develop machine learning models and AI systems that learn from data to make predictions or decisions. They work on model architecture, training, optimization, and deployment to production systems.
AI / ML Engineer Salary in Seattle
The median salary for a AI / ML Engineer in Seattle is $133,944 per year. The range is $101K - $176K (P10: $75,652, P90: $228,866). (BLS OEWS 2025) Typical US salary range: $110K - $180K. In Europe: €75K - €120K. Cost of living in Seattle is very high compared to other cities.
Most In-Demand Skills
Python
TensorFlow/PyTorch
Machine Learning Theory
NLP/Computer Vision
Model Optimization
LLM Fine-tuning
The Seattle Job Market
Cloud computing capital with 300K+ software, e-commerce, and drone jobs. Seattle's AWS and Azure dominance makes it the cloud computing capital, with endemic remote work culture.
Top industries: Cloud Computing, E-commerce, Aerospace, Gaming.
Sound Transit rail expanding; tech industry pioneered remote work, making commutes optional for many.
Career Path & 2026 Trends
AI/ML engineers advance to senior ML engineer, research engineer, or ML platform architect; many pursue specialization in specific domains like NLP or computer vision. AI/ML engineering in 2026 is dominated by generative AI, with massive demand for engineers who can fine-tune and deploy LLMs in production environments.
Interview Tip
Walk through your model development lifecycle—discuss data preparation, model selection, hyperparameter tuning, and evaluation metrics that matter for the business.
How to Find a AI / ML Engineer Job in Seattle?
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