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Top Machine Learning Engineer Jobs in Seattle, WA
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.
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 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.
The Machine Learning Engineer II will develop and optimize scalable machine learning models and data pipelines to enhance the Qualtrics platform. Responsibilities include collaborating with cross-functional teams, implementing new features, and conducting complex statistical analyses while ensuring the quality of end-to-end solutions.
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.
As a Machine Learning Engineer III, you will lead the development of machine learning models to enhance the shopping experience on Chewy's platform. This involves collaborating with leadership to improve product selection and advertising solutions, deploying innovative algorithms, and mentoring junior scientists while publishing research to advance industry knowledge.
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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.
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.
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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.
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 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.
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.
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