Top Machine Learning Jobs in Seattle, WA

Own the Finance vertical for Agents Data & RL Environments: set product and data strategy, design and scale finance-specific RL simulations and datasets, partner with frontier research teams, and drive cross-functional execution and go-to-market efforts to train and evaluate AI agents on real financial workflows.

Lead the technical vision of ML Engineering, overseeing data infrastructure, ML pipelines, and team management to transition AI models into production.

The Staff Machine Learning Engineer will lead ML initiatives, partnering with multiple teams to enhance customer support through AI-driven solutions, focusing on conversational agents and research in chatbot architectures.

The role involves designing, building, and deploying compute and networking solutions for AI and HPC, supporting customers with integration and performance debugging.

Lead and mentor a team of machine learning engineers, drive ML projects, and collaborate across departments to enhance product features and model improvements.

The Senior Machine Learning Engineer will develop ML APIs, build data pipelines, and collaborate across teams to enhance ML models and applications.

The Machine Learning Engineer develops production ML algorithms and recommendation systems, collaborates with teams, and optimizes user experiences.

The AI Engineer will design and build production systems, focusing on LLM integration, system reliability, evaluation frameworks, and high-quality product features while maintaining strong engineering practices.

Build and maintain an ML feature platform: backend systems for feature creation, exploration, serving, data storage and availability, and offline backfilling. Deliver reliable, scalable, well-tested solutions that enable MLEs, analysts, and decisioning teams; debug large codebases and collaborate across engineering to meet availability and latency goals.

As a Senior Machine Learning Engineer, you will design and deploy computer vision models, collaborate with teams, and mentor juniors while ensuring high-performance solutions.

The Sr. Machine Learning Engineer will develop and deploy ML solutions for healthcare, manage data pipelines, and work with large datasets to enhance healthcare delivery.

As a Staff Applied ML Scientist, you will develop and maintain fraud detection models, conduct research on fraud types, and collaborate across teams to drive product development and real-time decision-making.

As a Senior Applied ML Scientist, you'll develop fraud detection models, research new fraud types, and write production code while collaborating across teams to enhance SentiLink's identity verification solutions.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.

As Co-Founder & CEO, you will define strategy, lead customer development, drive product iterations, raise capital, and build the founding team for InfluTracker, an AI content intelligence venture.

Design and implement machine learning models to solve business problems, analyze data for insights, and optimize model performance.

The Staff Data Scientist will partner with teams to enhance Moloco's creative systems through data strategy, measurement frameworks, and product influence, ensuring competitive advantage.

The Young Investigator in Robotics will focus on developing and applying AI methods in robotics, including manipulation, skill learning, and sim-to-real transfer while individually pursuing independent research.

Lead the productization of AlpaSim and AlpaDreams technologies. Oversee architecture integration, manage team performance, and transform prototypes into reliable tools, focusing on developer experience and production excellence.

Develop and productionize C# applications and machine learning solutions on Azure. Work with .NET/Visual Studio, Azure services (IaaS, Storage, SQL, SDKs, Data Lake, Cosmos, Azure ML), implement ML/deep learning models, and collaborate in a global delivery environment.

Develop production C# software and machine learning solutions on Azure. Work with Azure services (VM, Storage, SQL, Data Lake, Cosmos), Azure ML and Cortana Intelligence, perform data mining and deep learning tasks, and collaborate in a global delivery environment.

The Director of Artificial Intelligence will define, lead, and implement AI strategies, managing R&D, building teams, and ensuring ethical AI use to drive business outcomes.

Lead Data Science initiatives, build AI/ML solutions, and mentor teams in a collaborative environment, driving innovation in a leading construction equipment venture.

The Director of Computer Vision will lead technical vision, research, and execution in developing scalable AI-driven computer vision solutions, managing teams, and enhancing performance metrics.

Develop and extend a C++ annotation and reporting tool for computer vision and robotics. Implement tracking, detection, deeper annotations, quality measurement, automated reporting, and automated tests. Work with OpenCV, SQL/reporting services, HTML/JavaScript/CSS, MSBuild, and Linux while collaborating with applied scientists and engineers.