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Top Senior Level Machine Learning Jobs in Seattle, WA

9+ Job Results
5 Days Ago
US
Remote
305 Employees
163K-213K Annually
Senior level
305 Employees
163K-213K Annually
Senior level
Artificial Intelligence • Hardware • Information Technology • Internet of Things • Software
The Senior Staff Scientist will develop hybrid AI applications optimized for quantum computing, lead a team of PhD scientists, collaborate across various technical teams, and engage with clients to identify valuable quantum applications. Responsibilities include developing quantum algorithms, integrating them with AI models, and influencing a multi-year Quantum AI roadmap at IonQ.
Top Benefits:
401-K
401-K Matching
Company Equity
+38 More
6 Days Ago
Bellevue, WA, USA
20,000 Employees
147K-235K Annually
Senior level
20,000 Employees
147K-235K Annually
Senior level
eCommerce • Healthtech • Pet • Retail • Pharmaceutical
As a Senior Applied Scientist, you will lead the Sponsored Advertising team at Chewy, deploying machine learning and data science to enhance product discovery and customer engagement. Responsibilities include developing predictive models, collaborating with product leaders, mentoring junior scientists, and communicating research insights to executive leadership.
Top Benefits:
401-K
401-K Matching
Child Care Benefits
+45 More
7 Days Ago
Seattle, WA, USA
Remote
11,000 Employees
190K-306K Annually
Senior level
11,000 Employees
190K-306K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
As a Senior Machine Learning Engineering Manager, you'll oversee the machine learning lifecycle, innovate on algorithms, mentor team members, and engage with various stakeholders to enhance business impact through AI solutions.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+66 More

Featured Jobs

1,050 Employees
Senior level
Cloud • Software
Senior AI Engineer responsible for training and tuning models using Deep Learning Machine Learning Models, Large Language Models, data engineering, and evaluation frameworks. Working on optimizing networks to better serve applications with a highly novel approach.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+52 More
12 Days Ago
Seattle, WA, USA
500 Employees
235K-300K Annually
Senior level
500 Employees
235K-300K Annually
Senior level
AdTech • Digital Media • eCommerce • Marketing Tech • Software
As a Staff Machine Learning Engineer, you will design, build, and productionize machine learning models to tackle various business challenges. Collaborating with product and engineering teams, you will focus on data processing, improving service performance, and sharing knowledge through discussions and presentations.
Top Benefits:
401-K
401-K Matching
Company Equity
+53 More
12 Days Ago
Seattle, WA, USA
Hybrid
4,800 Employees
Senior level
4,800 Employees
Senior level
Fintech • Mobile • Software • Financial Services
The Principal Engineer, Machine Learning / AI will drive technical capabilities in ML and AI across multiple teams, mentor data scientists, lead technical standards, and advocate for best practices. The role involves hands-on development of ML/AI products and collaboration across various business units to enhance systems and products.
Top Benefits:
401-K
Child Care Benefits
Commuter Benefits
+45 More
12 Days Ago
Seattle, WA, USA
12,427 Employees
144K-180K Annually
Senior level
12,427 Employees
144K-180K Annually
Senior level
Automotive • Mobile
As a Senior Data Scientist in Machine Learning at Lyft, you will develop mathematical models to enhance core services, optimize ride supply and demand, and collaborate with cross-functional teams to implement algorithms that improve user experiences for riders and drivers.
24 Days Ago
United States
Remote
5,600 Employees
Senior level
5,600 Employees
Senior level
Fintech • Payments
As a Machine Learning Engineer at Stripe, you will design and build scalable ML platforms, develop deep learning architectures for payment entities, and collaborate with data scientists to enhance product features using machine learning. The role focuses on deploying advanced ML applications and optimizing infrastructure for rapid experimentation.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+30 More
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