Top Machine Learning Jobs in Seattle, WA
Lead a team of machine learning engineers in developing a personalized video recommendation engine. Responsibilities include defining system architecture, conducting A/B testing, performing design reviews, and optimizing performance metrics to improve the recommender system.
The Staff Machine Learning Engineer will design, build and productionize machine learning models to tackle business challenges, collaborate with product managers and engineers, maintain high code quality, and research emerging technologies. They will also share knowledge through presentations and discussions.
As a Machine Learning Engineer II at Remitly, you will develop models to assess risks in financial transactions, collaborating with engineers and data scientists to enhance fraud detection efforts. You'll build machine learning models and ensure they operate effectively within the company's infrastructure.
In this role, the Senior Manager of Machine Learning will lead a team focused on developing machine learning solutions for fraud prevention in the financial services sector. Responsibilities include team management, performance evaluation of models, and collaboration with various teams to enhance customer experience and business profitability.
As the Head of AI, you will define and lead the long-term vision for AI at Remitly, overseeing teams that build machine learning applications. You'll partner with various leaders to scale AI opportunities and drive adoption of best practices, thereby enhancing customer experience and business profitability.
As an Applied AI Scientist at ZS, you'll develop algorithms for large dimensional problems, apply statistical and data mining techniques on large datasets, evaluate new data technologies, and contribute to thought leadership through research. You'll work in a collaborative environment focused on transforming global healthcare.
As a Machine Learning Engineer at ZS, you will build and monitor model pipelines, scale algorithms for massive data sets, and enhance ML platforms. Your responsibilities include implementing ML Ops, writing production-ready code, collaborating with teams, and researching new technologies.
As a Principal Engineer in ML/AI, you will lead technical efforts across teams, drive product development, set engineering standards, and provide mentorship while collaborating closely with various stakeholders to enhance and innovate financial services.
As a Senior AI Engineer, you will design, implement, and maintain large-scale AI/ML pipelines, focusing on training and tuning deep learning models and evaluating large language models while working on data collection and feature engineering.
As a Machine Learning Engineer, you will design, implement, and maintain large-scale AI/ML pipelines, tune and evaluate models, and develop evaluation frameworks and metrics. Your role includes building and evaluating deep learning models and transformer-based models, working collaboratively within an AI engineering team.
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As a Senior Machine Learning Engineer, you will design, develop, and deploy advanced computer vision models for applications like object detection and video analytics. You will optimize models for performance, mentor junior members, and collaborate with cross-functional teams to deliver scalable end-to-end solutions.
As a Senior Machine Learning Engineering Manager, you will lead the end-to-end machine learning lifecycle, from data collection to deployment. You'll implement novel techniques, mentor team members, and collaborate with cross-functional teams to ensure effective communication and innovation.
The Lead Machine Learning Engineer will focus on developing and optimizing algorithms for Hulu's recommendation and personalization systems. Responsibilities include collaborating with product and data teams, maintaining existing models, and establishing best practices in algorithm development and deployment.
As a Senior Applied Scientist at Chewy, you will lead the deployment of machine learning and data science to enhance shopping experiences, develop new models, and influence product and engineering strategies. You will mentor junior scientists and present research findings to business leaders.
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