Top Senior Level Machine Learning Jobs in Seattle, WA

The Research Scientist will develop new Latent Space Models for voice AI to address data, scale, and cost challenges, focusing on neural codecs and generative modeling for diverse human speech synthesis and understanding.

As a Senior Data Scientist, you will build models, provide mentorship, and develop techniques to optimize user experiences and drive business value.

Develop methodologies for synthetic and hybrid data generation while collaborating with partners to ensure high-quality datasets for AI models.

As a Machine Learning Engineer, you will optimize algorithms for ad retrieval and prediction, collaborate globally, and lead projects to enhance ad quality and ROI.

Build and enhance machine learning models for Pinterest products, utilizing data-driven methods and overseeing data processing pipelines.

Design and implement ML models to enhance search relevance, optimize retrieval systems, and advance query understanding, collaborating with cross-functional teams.

The Applied Scientist will develop and integrate AI models in financial tech, focusing on NLP and CV applications, and lead projects to improve AI solutions.

Design and implement machine learning solutions on cloud platforms, engage with customers to define requirements, and oversee project delivery from inception to deployment.

Lead AI strategy and research team to develop cutting-edge AI technologies, integrating them into products while mentoring a talented team of researchers and engineers.

Lead AI research and development, focusing on machine learning solutions, collaborating with teams, and developing product strategies for advanced R&D projects.