Top Senior Machine Learning Engineer Jobs in Seattle

You will be at the forefront of developing and implementing advanced ML models to address complex challenges and contribute to our business goals.

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 role is part of our Cash App's ML team and will be deeply embedded within one of our product teams. You will experiment with various modeling techniques on our comprehensive customer data and see your solution through to production by partnering cross-functionally with finance, product, and engineering teams.

Hiring Senior Machine Learning Engineers to join the ML Platform team at Warner Bros. Discovery. Responsible for building a scalable Machine Learning platform to train, evaluate, deploy, serve, and monitor ML models for global brands.

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.

Build next-generation Large Language Models for Enterprise Language Generation at ServiceNow. Use AI/ML expertise to solve real-world challenges and collaborate with a team of developers and scientists to deliver high-quality solutions to users.

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.

Contribute to building next generation Large Language Models for Enterprise Language Generation at ServiceNow's Advanced Technology Group. Use AI/ML expertise to solve real-world challenges and collaborate with a team of developers and researchers to produce high-quality software solutions.

Contribute to building next generation Large Language Models for Enterprise Language Generation at ServiceNow. Use AI/ML expertise to solve real-world challenges and collaborate with a team of developers and researchers to deliver high-quality solutions.

Seeking a Deep Learning Research Scientist passionate about expanding the limits of deep learning capabilities. Responsibilities include designing and developing generative AI systems, improving existing deep learning systems, advancing research agenda, and sharing work through open source.

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.

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.