Top Machine Learning Jobs in Seattle, WA

As a Principal Machine Learning Engineer, you'll drive ML innovation, develop and deploy models, and guide team members in AI/ML initiatives.

As an ML Research Engineer Intern, you'll build high-quality web data and contribute to running distributed data processing while enhancing data quality with small models.

As a Staff Machine Learning Engineer, you will apply deep learning and generative AI technologies, build end-to-end ML solutions, and collaborate with teams to launch innovative features.

The role involves enhancing mapping and localization capabilities using computer vision and machine learning. Responsibilities include designing systems, optimizing techniques, prototyping algorithms, and ensuring robust performance in production.

As a Senior ML Engineer, you'll develop and refine prompts for AI tools, collaborating with technical and non-technical teams to enhance AI outcomes and manage prompt libraries.

The Senior Machine Learning Engineer will design and implement an RL-based bidding agent and enhance ML inference speed and scalability.

Lead projects focusing on responsible AI, mentoring junior engineers, collaborating across teams, and driving technical strategy for ML applications.

The Practice Manager leads a Data Science and AI/ML team, driving customer engagements, delivering solutions, mentoring staff, and improving operational effectiveness.