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Top Senior Machine Learning Engineer Jobs in Seattle, WA

2 Days Ago
Seattle, WA
Hybrid
109,871 Employees
139K-204K Annually
Senior level
109,871 Employees
139K-204K Annually
Senior level
Digital Media • News + Entertainment
The Sr Machine Learning Engineer will be responsible for developing and maintaining machine learning algorithms for Hulu's recommendation system. This includes feature engineering, optimizing algorithms, collaborating with product teams, and maintaining real-time data pipelines.
1,050 Employees
Senior level
Cloud • Software
As a Senior AI Engineer at Cisco ThousandEyes, you will be responsible for the design, implementation, and maintenance of large-scale AI/ML pipelines. Your role includes training and tuning models, performing evaluations of deep learning and transformer models, and building evaluation frameworks and metrics.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+52 More
An Hour Ago
Seattle, WA
Remote
11,000 Employees
Senior level
11,000 Employees
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
In this role, you will lead the development and deployment of machine learning algorithms, train complex models, and collaborate with various engineering teams to integrate AI functionalities into Atlassian products. You'll also be involved in designing system architectures and mentoring other ML engineers while ensuring efficient AI innovation across the company's platforms.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+66 More
3 Days Ago
Seattle, WA
500 Employees
235K-300K Annually
Senior level
500 Employees
235K-300K Annually
Senior level
AdTech • Digital Media • eCommerce • Marketing Tech • Software
The Staff Machine Learning Engineer will develop and productionize machine learning models, collaborate with product teams, ensure code quality, research emerging technologies, and share knowledge through presentations. They will focus on solving business challenges with AI-driven solutions and implementing machine learning systems.
Top Benefits:
401-K
401-K Matching
Company Equity
+53 More
5 Days Ago
Seattle, WA
Hybrid
109,871 Employees
172K-231K Annually
Senior level
109,871 Employees
172K-231K Annually
Senior level
Digital Media • News + Entertainment
The Lead Machine Learning Engineer will develop, implement, and optimize recommendation algorithms for Disney's media platforms. This role involves collaborating with engineering and product teams to achieve personalization goals, maintain ETL pipelines, and ensure best practices in algorithm development. The engineer will also drive the roadmap for algorithmic projects to enhance content recommendations.
4 Days Ago
Seattle, WA
Hybrid
13,000 Employees
150K-195K Annually
Mid level
13,000 Employees
150K-195K Annually
Mid level
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
As a Machine Learning Engineer at ZS, you will build and monitor model pipelines, scale algorithms for large data sets, and implement ML Ops. You'll collaborate with teams to ensure high-quality deliverables and stay updated on architectural technologies. Strong programming skills and experience with ML platforms are essential.
Top Benefits:
401-K
401-K Matching
Child Care Benefits
+61 More
19 Days Ago
Seattle, WA
Remote
125K-221K Annually
Senior level
125K-221K Annually
Senior level
Big Data • Software
The role involves developing and optimizing LLM-based solutions and ML pipelines for customers. Responsibilities include advising data teams, presenting at conferences, and collaborating with engineering and product teams. The position emphasizes mentorship and cross-functional teamwork.
5 Days Ago
Seattle, WA
5,000 Employees
217K-294K Annually
Senior level
5,000 Employees
217K-294K Annually
Senior level
Gaming • Software • Virtual Reality
The Principal Machine Learning Engineer at Unity will lead the development and optimization of machine learning applications for the Ads Applied Research team, overseeing advanced ML models and contributing to product innovations. The role requires collaboration with product and engineering teams to address data and ML capabilities and align with strategic goals.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+55 More
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