Top Remote Machine Learning Jobs in Seattle, WA

Lead the development and release of AI/ML models, design scalable pipelines, validate outcomes, and communicate results with stakeholders in the cybersecurity domain.

Lead centralized Machine Learning efforts at Affirm, managing model development lifecycles, fostering AI adoption, and overseeing a team of ML professionals to enhance business outcomes.

The Staff Data Scientist will build and manage machine learning models to optimize personalization, inventory, and logistics while leading the ML function and collaborating cross-functionally.

Lead development of machine learning models for real-time content ranking, translating business objectives into effective ML solutions while managing experiments and data pipelines.

The Senior Bayesian Risk Modeler will enhance wildfire risk assessment models using Bayesian statistics and Monte Carlo simulation, optimizing uncertainty quantification for utility decision-making.

Lead the development of AI/ML platforms, manage a team, optimize ML workflows, ensure platform meets researchers' needs, drive innovation.

As a Technical Intern, you will integrate LLMs into production, collaborate with teams, and leverage data for AI solutions while keeping up with AI developments.

Lead research and development of advanced machine learning solutions, optimizing large-scale infrastructure and providing technical guidance on high-impact projects.

The Solutions Architect for AI/ML at Snowflake will advise clients on best practices for Data Science workloads, design solutions, and build ML pipelines. Responsibilities also include working hands-on with SQL and Python, maintaining technical expertise and collaborating with teams to improve products.

As an ML Engineer, you will build and deploy machine learning models for autonomous robots, collaborating with ML scientists and engineers to enhance AI capabilities.