Top Machine Learning Engineer Jobs in Seattle, WA
Responsible for training, tuning, and evaluating models using Deep Learning and Large Language Models. Collaborate with AI engineers to design and maintain ML pipelines. Proficient in crafting ML models and leveraging machine learning frameworks such as SKLearn, XGBoost, PyTorch, and Tensorflow.
As a Machine Learning Engineer, you will build and scale ML model pipelines, implement MLOps, write production-ready code, and collaborate with clients and global teams to deliver AI solutions. You will also engage in research to evaluate new architecture patterns and technologies.
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.
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.
The Machine Learning Engineer at Snap Inc will create models to drive value for users and advertisers, evaluate technical tradeoffs, perform code reviews, and build scalable products, while collaborating with internal and external partners.
The Principal Machine Learning Engineer will design and implement machine learning components and services, build a training framework, optimize model performance using GPUs, and develop an AutoML platform. The role involves collaboration across teams to meet product requirements and advocating for best practices in system availability and scalability.
As a Principal Machine Learning Engineer on the Ad Ranking team, you will drive the technical roadmap, design and implement machine learning models for ad optimization, collaborate with various teams to align on strategies, and advocate for best practices to enhance performance and scalability.
As a Principal Machine Learning Engineer, you will drive the technical roadmap for Snap's Ad Marketplace, focusing on the design, implementation, and optimization of machine learning models to enhance ad delivery and spending efficiency. Collaboration with cross-functional teams and advocacy for best practices in scalability and operational excellence are key aspects of this role.
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You will develop and build machine learning models to detect fraudulent activity and assess risks in international money transfers, ensuring models meet latency and uptime requirements and collaborating with data scientists and engineers.
The Machine Learning Engineer will develop and implement advanced machine learning and forecasting algorithms, build scalable models for forecasting metrics, and collaborate with various teams while tackling complex business problems.
As a Senior Principal Machine Learning Engineer at Atlassian, you will drive the development and deployment of advanced machine learning algorithms. Responsibilities include designing system architectures, mentoring engineers, and collaborating with product and engineering teams to integrate AI functionalities across Atlassian's products.
As a Sr. Machine Learning Engineer at CrowdStrike, you will innovate with machine learning technology, create backend microservices, maintain data pipelines, and collaborate on solutions for complex projects, all while ensuring coding quality and contributing to team learning in a remote-first environment.
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.
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.
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.
As a Senior Machine Learning Engineer, you will develop and implement advanced ML algorithms, focusing on building scalable forecasting models. You will collaborate with cross-functional teams, drive end-to-end ML processes, and guide junior engineers while ensuring business impact through data-driven solutions.
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