Top Machine Learning Engineer Jobs in Seattle, WA
Seeking a Machine Learning Architect to elevate the Machine Learning and Artificial Intelligence R&D strategy at Qualtrics. Responsibilities include designing robust AI architectures, selecting appropriate AI technologies, collaborating with cross-functional teams, and optimizing ML systems for performance and scalability.
Join Dropbox as a Machine Learning Engineer to shape the future direction of the organization, build large-scale ML systems, personalize user experiences, and impact millions of users with innovative AI solutions.
Build and deploy ML models for identity resolution and ads attribution. Collaborate with cross-functional teams to align on ML strategies. Stay updated with the latest ML technology and solve complex problems. Ensure code quality and build scalable products.
Join the Chewy Search & Recommendations team as a Principal Machine Learning Engineer/Data Scientist. Develop models to simplify product discovery for pet lovers on Chewy.com. Work on all stages of model development and impact millions of customers daily.
Building, orchestrating, and monitoring model pipelines, scaling machine learning algorithms, enhancing ML Engineering platforms, implementing ML Ops, writing production-ready code, collaborating with teams, and staying updated on the latest technologies.
The Applied Scientist III will design, develop, and implement machine learning models for various applications, as well as research and implement state-of-the-art algorithms. They will also collaborate with cross-functional teams and provide technical guidance.
Drive the technical roadmap of Ad Marketplace and Pacing teams, design and implement machine learning models, collaborate with cross-functional teams, stay up-to-date with the latest technology, provide technical direction, and advocate for best practices.
Play a major part in building AI and Machine Learning solutions to transform user experience and workflow efficiency of enterprise services. Responsible for developing and implementing key machine learning models, facilitating ML data preparation and scoring, and supporting the ML strategy for the Enterprise Data Platform.
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Drive the technical roadmap of the Ad Targeting team, advance core ML capabilities, design and implement critical machine learning models, collaborate with cross-functional teams, stay current with ML technology, and provide technical direction for the organization.
As a Staff Machine Learning Engineer in ML Foundations at Stripe, you will play a critical role in accelerating the Machine Learning journey. Responsibilities include developing and executing roadmaps, designing and scaling machine learning models, improving existing models, coaching engineering talent, and building cross-functional partnerships. Minimum requirements include 1 year of experience in machine learning.
As a Machine Learning Engineer at Stripe, you will design, train, improve, and launch machine learning models using various tools. You will propose ideas to impact the company's top line metrics, collaborate with stakeholders, and drive end-to-end projects involving multiple technologies.
Design and build platforms and services for machine learning systems to improve transaction efficiency on Stripe. Collaborate with various teams to deliver impactful product values to customers. Mentor junior engineers in their technical growth.
Senior Machine Learning Software Engineer at Dropbox, responsible for designing, building, evaluating, and deploying large-scale ML systems. Collaborate with cross-functional teams to personalize user experiences and drive impactful outcomes. Requires strong industry experience and software engineering skills in Python, Go, and C/C++.
As a Machine Learning Engineer, you will analyze opportunities, propose ideas, train and evaluate ML models, run experiments, and deploy solutions to production. You will contribute to ML architecture and be part of the ML community at Stripe. Responsibilities include improving performance, evaluating systems, and ensuring model quality. Minimum requirements include 5 years of end-to-end ML development experience, an advanced degree in a quantitative field, and proficiency in Python, Scala, and Spark.
Design and build scalable ML platforms, deploy advanced ML applications, and collaborate with data scientists to build ML models for Stripe's Payments ML Accelerator team.
The Senior Machine Learning Engineer II in Perception at Cruise will work on developing sophisticated machine learning algorithms for perception in autonomous vehicles, focusing on road safety for Vulnerable Road Users (VRUs) and innovative solutions to enhance autonomous vehicle technology. Responsibilities include exploring new algorithms, refining on-road performance, supporting hardware projects, and ensuring high engineering quality.
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