Top AI Jobs in Seattle, WA

As a Product Manager II for AI, you'll drive AI products, manage roadmaps, collaborate with teams, and enhance customer experiences.

The Director of AI/ML Engineering will lead and scale the AI/ML team, collaborating on innovative projects in machine learning, computer vision, and predictive algorithms. Responsibilities include mentoring team members, overseeing the ML lifecycle, and driving technical vision alongside senior leaders.

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

As an Engineering Manager at ChowNow, you will lead a team of data and AI/ML engineers, focusing on product development and team growth while ensuring a quality product-first approach to engineering practices.

As a Senior Product Designer at Zapier, you will design AI capabilities and human oversight workflows, driving enterprise impact and collaborating across teams.

Join Zapier's AI Tasks team to design and build features for AI-based workflows, work with cross-functional teams, and own projects from concept to deployment.

Lead AI-driven insights and predictive analytics for enterprise business applications, focusing on optimizing processes like Quote-to-Cash and customer retention through data analysis and machine learning.

The Principal Product Manager will lead strategy and delivery of an AI-native platform, transforming internal products and tools, while engaging with cross-functional teams and overseeing product lifecycle.

As a Solutions Architect at CoreWeave, you will lead technical engagements with customers, build tailored solutions, and collaborate with engineering to enhance products in AI and cloud infrastructure.

The Machine Learning Engineer will build and deploy data products, collaborate cross-functionally, improve customer experiences, and mentor others in AI methods.

Design and develop scalable AI/ML solutions while mentoring teams and collaborating with cross-functional partners to enhance customer experience through data-driven insights.

Develop and deploy machine learning models for risk assessment, collaborating with teams to enhance Gusto's product offerings while ensuring model performance and reliability.

The Staff Content & Conversational Designer will develop AI-driven content strategies, ensure inclusive communication, mentor designers, and collaborate across teams for effective user engagement in mental health technology.

Lead Data & AI Engineer responsible for architecting and implementing intelligent analytics for a surveillance cloud platform, requiring strong skills in data pipelines, AI model management, and modern cloud technologies.

As a Staff Data Scientist in AI Products, you will drive AI/ML capabilities, influence product strategy, and collaborate with various teams to enhance data foundations.

Lead the development of AI-powered security products focusing on data access governance and DLP, enhancing Dropbox's capabilities for SMBs and mid-market businesses.

The Principal AI Evangelist & Strategic Architect will bridge engineering and market adoption, translating AI advancements into client value and influencing product strategy. Responsibilities include strategic vision creation, supporting key deals, collaborating on AI solutions, and establishing thought leadership.

The Senior IT Engineer will build and maintain systems for operational efficiency by implementing AI and automation, creating scalable workflows, and developing internal tools to enhance productivity across Headway.

As an Applied AI Scientist Intern, you will develop algorithms, execute statistical techniques on large datasets, and contribute to thought leadership in AI and machine learning.

Lead AI integration in enterprise applications, transforming internal systems and workflows. Collaborate with multiple teams for automation and optimization, governing AI protocols while ensuring compliance and measurable impact.

Lead a team to develop Dropbox's AI product, Dash. Focus on driving product revenue, operational agility, and mentoring team members. Utilize ML techniques and data-driven insights for decision making.

As a Staff Software Engineer, you will enhance developer productivity by establishing AI-driven tools, improving processes, and mentoring teams on AI integration and best practices.

The Senior Software Engineer will own quarterly goals, lead the team through challenges, collaborate on product development, and ensure code quality, while also fostering team growth.

Lead the development of AI safety strategies for autonomous vehicles while ensuring compliance with industry standards, focusing on ML model validation and deployment in driving systems.

The Senior Machine Learning Engineer will develop AI workflows, collaborate with teams on models and pipelines, conduct research, mentor junior members, and innovate solutions for healthcare.