Top AI Jobs in Seattle, WA

Lead software development for AI, ML, and decision systems, manage technical teams, and drive innovation for National Security solutions.

This role leads business development in oncology, focusing on AI-driven innovation and partnerships for early-stage clinical development, enhancing decision-making and accelerating drug development.

The Associate Technical Product Manager analyzes data for product optimization, collaborates with teams, and implements improvements using modern data techniques.

Lead strategic initiatives in AI, data, and analytics; coordinate project plans, prioritize improvements, and ensure effective stakeholder communication.

As a Staff Product Manager, you'll drive the strategy and success of SIEM products, collaborating with various teams to fulfill customer needs and market demands while focusing on security for SMBs.

As Senior Counsel, you will support Product and Engineering teams with regulatory guidance in health technology. Responsibilities include translating regulations into actionable guidance and helping develop compliance strategies.

The Staff Business Systems Analyst will lead the design and delivery of scalable Sales Cloud solutions, collaborating with cross-functional teams to align business goals with technical execution.

Join the Inference team to implement features and improvements for model serving on a GPU platform, focusing on performance and reliability.

Lead end-to-end AI/ML projects: research, prototype, optimize, and productionize ML and LLM solutions for healthcare. Mentor and recruit teams, run experiments and A/B tests, present results to leadership, and pursue AI research and IP.

As a Graduate Research Scientist, you will research scalable AI solutions, optimize machine learning models, and design innovative architectures while collaborating in a global team. You will innovate in areas like generative modeling and adaptive systems.

As an AI Engineer, you'll integrate AI solutions, optimize models, collaborate on technical solutions, and shape the technical direction at Hiya.

AI Engineers at Hiya develop and integrate AI solutions, conduct model evaluations, and optimize large language models, collaborating with cross-functional teams.

The Senior Staff Software Engineer will lead the architecture and implementation of AI-powered developer tools and workflows in a cloud environment. Responsibilities include mentoring, driving innovation, managing project delivery, and fostering a culture of continuous improvement.

The Engineering Manager will lead the AI/ML Platform team, enhance AI infrastructure, ensure safety and efficiency, and mentor engineers in a dynamic environment.

As a Senior Data Scientist at Remitly, you'll drive data-driven decision-making, mentor junior staff, and own complex analytical problems utilizing AI/ML techniques.

Lead the development of an AI framework for endpoint security, collaborate with teams, optimize solutions, and ensure model efficiency across various platforms.

The role involves providing AI leadership, influencing technical direction, driving innovation, mentoring engineers, and collaborating across teams to adopt AI in software development.

As a Staff Software Engineer in the Data Platform group, you'll lead architecture decisions, mentor engineers, and enhance operational systems while collaborating with cross-functional teams to shape data-based solutions.

Lead the AI strategy and programs for R&D at Zscaler, managing use case identification, vendor evaluations, and AI adoption across engineering teams.

The Senior Machine Learning Engineer will design tools for agent development, optimize AI systems, and collaborate with teams to implement production-ready solutions.

Design and implement scalable microservices for AI Detection and Response. Collaborate on issues, code reviews, and mentor team members in secure coding practices.

The Senior Manager oversees AI and GenAI data science teams, driving complex analytics projects, coaching teams, and ensuring high-quality solutions. Responsibilities include managing GenAI development, collaborating with clients, presenting findings, and leading business development activities.

The role involves designing and deploying AI automation in the platform, focusing on LLMs to enhance operational workflows and user experience.

Design and implement highly scalable microservices and platform components for AI detection services. Drive operational excellence and mentor team members.

The role involves researching, designing, and prototyping generative AI solutions for cybersecurity. Responsibilities include building datasets, training models, and presenting findings to various audiences.