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Top Machine Learning Jobs in Seattle, WA
As an AI Engineer, you will be responsible for training and tuning AI/ML models, performing model evaluations, building large-scale AI/ML pipelines, and developing evaluation frameworks. This involves significant work with deep learning, transformer models, and data engineering.
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.
As a Threat Analyst, you will analyze malware and customer detection tickets, improve detection capability, and support internal teams with questions on threat detections. You will work with various internal teams to enhance product performance and manage false positives.
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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.
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.
As an Applied AI Scientist at ZS, you'll develop advanced algorithms, execute data mining techniques, evaluate datasets and technologies, and contribute to the firm's thought leadership in analytics and machine learning.
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.
The Senior Machine Learning Engineer will research, design, and build machine learning systems to enhance customer engagement. They will lead the development of scalable ML solutions, promote best practices in data science, and collaborate with cross-functional teams to address challenges in product development.
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.
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You will develop machine learning models for fraud prevention, assess transaction risk, and work with engineering teams to implement robust scoring systems. Collaborate with data scientists to adapt to fraud trends, ensuring optimal model performance and feature integration.
Top Companies in Seattle, WA Hiring Data + Analytics Roles
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