Top Machine Learning Jobs in Seattle, WA

Lead the Search and AI team at Slack, focusing on building AI-related features, mentoring engineers, and collaborating on product strategy.

Research and apply AI technology to enhance enterprise software testing, mentor engineers, build test tools, and improve testing processes.

As a Software Engineer at Upstart, you will develop scalable APIs for data retrieval and decisioning while collaborating with teams to enhance ML models' performance, ensuring data quality and reliability through testing.

Design and implement test strategies for computer vision systems. Validate performance and collaborate with engineering teams for system reliability.

Manage engineering efforts to improve AI model performance, oversee project execution, and guide team members in a dynamic environment.

The Principal Software Engineer leads AI projects, develops advanced AI models, integrates AI systems, and collaborates to enhance operational efficiency in support of New Glenn's development.

Design and optimize machine learning infrastructure, develop high-performance systems for AI model serving, and ensure model training and evaluation scalability.

The Technical Lead will guide engineering teams in developing marketing tools and platforms, integrating data analytics, AI, and machine learning for optimized solutions.

Lead initiatives for Consumer Ads, shape technical direction, collaborate across teams, and launch new ad capabilities while mentoring engineers.

Lead the architecture and management of AI/ML infrastructure using Kubernetes and Terraform, optimizing hybrid environments for performance and scalability.

Lead engineering team to build ML infrastructure for Pinterest ads, collaborate across teams, mentor engineers, ensure technical excellence.

Lead the design and delivery of large-scale solutions in Generative AI and Big Data, while mentoring teams and driving innovation.

The role involves developing networking solutions, conducting technical meetings, and collaborating with customers to drive AI hardware implementations.

Lead a team to build full stack applications, focusing on revenue-generating features for creators. Develop talent and deliver impactful solutions.

The Director of Technology will lead technology solutions, manage teams, build client relationships, oversee project estimations, and foster an innovative culture.

As a TPU Kernel Engineer, optimize ML systems, design kernels for TPUs, and resolve performance issues. Collaborate with researchers to enhance performance metrics.

Lead technical engagements with customers on performance optimization for AI and HPC applications, build demos, and conduct workshops.

The Senior Software Engineer will lead the design and development of ML Ops platforms, focusing on Identity Resolution while mentoring Junior Engineers and optimizing back-end services.

Lead AI product initiatives on Edge devices, optimize ML models for Edge compute constraints, and develop AI solutions using petabyte-scale data.

Develop ML/RL models and infrastructure for AV simulations, optimize training loops, and support project timelines in autonomous vehicle tech.

The Reserve Engineer maintains and services robotic hardware, resolves client hardware failures, and assists with new robot deployments, ensuring excellent customer satisfaction.

Lead the design and optimization of programmatic bidding systems, collaborating with engineers and applying analytical methodologies to enhance performance.

Lead the HR Technology team, focusing on technical excellence, problem-solving, mentoring, and collaboration to advance HR systems and support business goals.

The Workday HCM Architect leads the development of HR solutions utilizing Workday AI, Talent Management tools, and enterprise software implementation in collaboration with business and IT partners.

The internship involves solving diverse problems in digital innovation related to R&D and Operations, requiring strong technical and analytical skills.