Top Machine Learning Jobs in Seattle, WA

The AI/ML Software Engineer will lead AI and ML model training and deployment, optimizing performance and ensuring responsible implementation across products.

The Applied AI Researcher will develop novel algorithms for Generative AI, work with cross-functional teams, and stay updated on trends in GenAI.

Lead the research and development of novel AI algorithms for Generative AI, mentor team members, and influence technology strategy.

The Chief Architect drives the technology architecture strategy, collaborating with domain architects and leaders to ensure scalability, security, and alignment with business goals.

Design, develop, and maintain embedded software for RFID Reader platforms, collaborating with various teams and mentoring junior engineers to enhance solutions.

As a Staff Machine Learning Engineer, you will develop and improve healthcare search algorithms and ML models, mentor peers, and collaborate with teams to enhance patient experiences.

The Senior Machine Learning Engineer will develop and optimize algorithms for the Sponsored Results product to improve patient and provider experiences, collaborate with cross-functional teams, and mentor junior engineers.

Design next-gen health algorithms, collaborate with teams on feature specifications, train ML models, and productionize solutions.

The Reserve Engineer maintains and services robotic hardware, provides customer support, and assists in field projects. They are essential in resolving hardware failures and ensuring client satisfaction.

Design and deploy machine learning algorithms, build scalable systems, and collaborate with teams to optimize ML solutions for healthcare.

As a Senior/Lead Machine Learning Engineer, you will develop AI/ML solutions, influence architectural decisions, and mentor team members while collaborating across teams to drive technical efforts.

As a Staff Machine Learning Scientist, you'll develop AI products leveraging large-scale data, collaborate with teams, and enhance ML systems from inception to production.

Design and implement AI models for ASR and TTS applications, optimizing LLMs, collaborating with teams, and enhancing existing models.

As a Principal Software Engineer, you'll drive technical strategies across teams, ensure high-quality systems, mentor engineers, and influence product decisions to unlock new business opportunities.

The role involves optimizing refining and petrochemical processes using machine learning, collaborating with clients and internal teams to enhance efficiency, profitability, and sustainability.

The Senior Software Engineer will develop ML/RL models for autonomous vehicle scenarios, streamline ML infrastructure, and support project timelines within a robotics team.

The role involves working on machine learning projects in search, personalization, ads, and more. Interns will enhance algorithms and contribute to innovative solutions.