Top Machine Learning Engineer Jobs in Seattle
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.
Snap Inc is looking for a Machine Learning Engineer to create models driving value and prioritize duties with strong collaboration skills. The role requires 5+ years of experience in developing machine learning models for various purposes.
Snap Inc is seeking a Staff Machine Learning Engineer to create models driving value for users, advertisers, and the company. Responsibilities include evaluating technical tradeoffs, performing code reviews, building scalable products, and iterating quickly without compromising quality. Strong understanding of machine learning approaches, algorithms, and collaboration skills are required.
The Staff Machine Learning Engineer role at Cruise involves driving applied ML research and development for challenges related to Perception and Object Tracking on urban roads. Responsibilities include exploring new algorithms, optimizing on-road performance, guiding technology choices, and enabling team members. Required qualifications include a PhD/MS degree in computer vision or machine learning, deep learning project experience, strong programming skills, and expertise in ML frameworks. Bonus points for a PhD in machine learning, computer vision, or robotics, and experience in deploying perception.
Senior/Staff Machine Learning Engineer at Rokt, responsible for designing, building, and productionizing machine learning models to solve business challenges. Collaborate with product managers and engineers, maintain code quality, research and prototype new models, and mentor team members.
This Machine Learning Engineer role at Cash App involves building machine learning models for detecting fraudulent activity, creating better customer support experiences, and redefining credit and liquidity through simple and fair credit solutions. The role requires working with various algorithms, datasets, and technologies to improve customer safety, support automation, and underwriting processes.
This Machine Learning Engineer role at Cash App involves building machine learning models for fraud detection, customer support automation, and underwriting and credit evaluation. The focus is on using AI to understand customer behavior, enhance security measures, and improve financial services. The position requires working closely with product teams and leveraging data to create innovative solutions.
As a Principal Scientist/Machine Learning Engineer, you will be driving the future direction of new initiatives and leveraging the latest advancements in ML. You will be responsible for designing, implementing, and scaling innovative machine learning solutions. You will collaborate with product managers, ML engineers, and software engineers to frame ML problems and architect solutions that deliver real-world value.
Featured Jobs
Qualtrics is seeking a Machine Learning Engineer to enhance their ML and AI R&D strategy, personalize the user experience, and build competitive advantages through data. The role involves developing scalable microservices, implementing machine learning models, and collaborating with cross-functional teams to innovate and optimize existing features.
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.
Develop and implement machine learning models for fraud detection, analyze large datasets to identify patterns related to fraudulent activities, collaborate with cross-functional teams, monitor model performance, stay updated on latest machine learning and fraud detection techniques, and prepare reports for stakeholders.
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.
Design, implement, and scale critical machine learning components and services to support Snap's most strategic initiatives. Build a next-generation training framework, perform model training optimization, and develop an AutoML platform. Provide technical direction that influences the entire company.
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.
Drive the technical roadmap of the Ad Ranking team, design and scale machine learning models, collaborate with cross-functional teams, stay up-to-date with the latest technology, advocate best practices, and provide technical direction to the ML community.
As a Senior Machine Learning Engineer in Underwriting & Credit at Cash App, you will design, build, and launch credit products and features. You'll work on distributed services, solve technical problems at scale, collaborate with cross-functional teams, and contribute to the growth of development capabilities.
As a Machine Learning Engineer, you will be responsible for analyzing opportunities, training & evaluating ML models, running experiments, and deploying to production. You will contribute to ML architecture and be part of a larger community.
The Machine Learning Engineer (Modeling) role at Cash App involves building machine learning models for various workstreams such as fraud detection, customer support automation, and underwriting and credit evaluation. The focus is on using AI to improve customer experiences, enhance security, and provide accessible credit solutions.
Develop state-of-the-art algorithms and models to enhance customer support experiences through AI tools. Collaborate with teams to understand business needs and create impactful solutions. Monitor and evaluate model performance to make necessary adjustments.
Research, design, and build high-impact end-to-end machine learning systems for customer growth
Design, build, and enhance batch and real-time inference services and tooling to support Machine Learning use cases. Collaborate with cross-functional stakeholders to drive strategic roadmaps and priorities. Partner with ML modelers to encourage adoption of new tools and technologies. Have a significant impact on influencing team culture.
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++.
Looking for a Staff Machine Learning Engineer specializing in constructing and managing robust, scalable, and high-performance compute platforms tailored for ML workflows. Responsibilities include designing core platform backend software components, working on large scale initiatives, and participating in open source projects.
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You will be at the forefront of developing and implementing advanced ML models to address complex challenges and contribute to our business goals.
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