Top Machine Learning Jobs in Seattle, WA

As a Senior Full-Stack Engineer II at DigitalOcean, you'll lead and build AI application services, collaborating on design and operational excellence while maintaining APIs and working with ML platforms.

As a Senior Machine Learning Engineer, you will build scalable ML systems, lead the ML lifecycle, mentor engineers, and collaborate across teams.

Lead the development of fraud prediction models using machine learning, collaborating across teams to build, scale, and monitor models in production.

Lead a team of ML engineers to develop fraud detection models, defining strategies, driving model evolution, and ensuring effective integration with cross-functional teams.

The Machine Learning Engineer will develop and improve ML models for product surfaces, build data processing pipelines, and leverage machine learning technologies in advertisements.

The Software Engineer will develop scalable, high-quality AI applications for environmental conservation, working on projects utilizing ML models and cloud technology.

As a Senior Solutions Architect II, you will support high-value customers by providing technical guidance on cloud infrastructure and AI/ML solutions, conducting consultations, and optimizing cloud resources to meet business needs and enhance customer retention.

Lead the development of machine learning solutions for video personalization, enhancing user experience through data-driven insights and collaboration across teams. Drive technical strategy in building scalable systems and partnerships to innovate customer recommendations.

The Senior Software Engineer will provide technical leadership, build and scale AI/ML systems, maintain APIs, and collaborate on design while independently shipping product features.

The role involves building ML systems, improving models across product surfaces, and leveraging data for personalization and user engagement.

Develop and improve machine learning models for Pinterest's various product surfaces, utilizing deep learning and advanced data processing.

Develop and execute ML technology stack vision for Ads, improve ML models, and enhance content understanding using LLMs in a collaborative environment.

The Staff Data Scientist will lead advanced analytics and machine learning initiatives, collaborate with Product Management teams, and generate actionable insights on customer behavior to inform product strategies.

Lead the AI team to develop ML infrastructure, guide model evaluation, and ensure AI applications serve customers effectively while collaborating with cross-functional teams.

The role involves building and improving systems for training AI models, focusing on algorithms and infrastructure for reinforcement learning. Responsibilities include enhancing performance, reliability, and usability of systems to support research.

Lead the development of evaluation methodologies for large language models, collaborating with teams and publishing research findings. Enforce best practices in AI development.

As a Data Scientist, you will develop algorithms, collaborate on product requirements, and communicate data-driven insights, while enhancing product offerings and delivering actionable insights.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

Lead the architecture and implementation of a scalable AI/ML platform, focusing on data pipelines and integration of ML capabilities in business systems. Mentor and collaborate with cross-functional teams to optimize performance and deliver business value.

Design, implement, and manage complex machine learning algorithms with a focus on computer vision. Experience in MLOps, cloud platforms, and testing AI technologies is essential.

Design new information architectures for language models, refine their interaction with data, and develop evaluation sets to improve functionality.

The Applied Scientist will push the boundaries of applied AI, working on ML problems, developing models, and improving pricing systems.

Design, develop, and deliver machine learning models for clinical data. Collaborate with stakeholders and optimize production ML systems.

The Senior Staff Machine Learning Scientist will lead research initiatives in computer vision and multimodal understanding, develop novel models, and translate research into practical applications while mentoring team members.

The Engineering Manager will lead a team of Data Scientists and ML Engineers to build a Dispatch Optimization platform, focusing on model deployment and operational excellence.