Top Machine Learning Jobs in Seattle, WA

The Principal Engineer will lead the Behaviors team in developing technology solutions for autonomous vehicles, mentor engineers, and drive research initiatives.

Join Fay's AI Team to develop innovative AI features, curate and process data, train and evaluate models, and provide technical leadership.

Work as a Software Engineer Intern to prototype and develop AI and cryptography projects, contributing to open-source software and collaborating with a diverse team.

Train AI models in Energy and Power by analyzing outputs, solving complex problems, and identifying biases to improve AI's effectiveness.

As an AI Tutor, you'll teach and evaluate AI models in data science, focusing on statistical modeling, machine learning, and data ethics.

The Principal MLOPs Engineer will architect and optimize ML inference platforms, provide technical leadership, and collaborate with teams to deliver engineering solutions.

As a Machine Learning Engineer at Hightouch, you will build intelligent solutions for data activation, focusing on personalization, experimentation, predictive modeling, content generation, and budget optimization. Responsibilities include customer research, problem definition, and machine learning infrastructure development.

As a Machine Learning Engineering Intern at Symbl.ai, you will develop and enhance large language models, implement ML algorithms, and work with real-world conversational data.

Lead and mentor a team of Machine Learning Engineers to innovate and optimize the Ads Retrieval platform, enhancing user experience and ad relevance through advanced machine learning models and scalable infrastructure.

As a Machine Learning Engineer at Truveta, you will develop healthcare solutions through advanced ML models, optimization techniques, and cloud-based architectures, impacting patient care significantly.

The role involves enhancing the Kaia platform through building scalable distributed systems and integrating advanced technologies like ML, AI, and NLP.

Join our Talent Pool for engineering roles in AI, fullstack development, data science, or machine learning. Shape the future with us!

Equilibrium Energy seeks motivated individuals for various roles across engineering, science, commercial, and product areas in clean energy.

Lead machine learning projects for ad measurement at Reddit, mentoring, collaborating, and advancing privacy enhancing technologies from design to deployment.

The Teaching Professor will teach and develop engineering curriculum, advise students, and contribute to academic programs in multidisciplinary engineering.

Manage the sales process, build client relationships, and solve technical challenges while transitioning from a technical role to sales.

Develop and implement machine learning algorithms for driverless technology. Optimize model performance and guide technology choices as a technical leader.

Develop and test robotic and machine learning applications for autonomous vehicles, including design of algorithms and software optimization.

Develop and test machine learning applications for autonomous vehicles, focusing on data processing, model design, and sensor fusion integration.

Lead engineering efforts to enhance AI model performance and scaling systems, managing projects and team development in a dynamic environment.

As an Engineering Manager, you will lead efforts to enhance model performance, manage team execution, prioritize projects, and support professional growth in a dynamic environment.

The Engineering Manager leads efforts to enhance ML model performance, manage team projects, coach members, and ensure AI safety practices. Responsibilities include identifying bottlenecks and contributing to technical discussions.

The AI/ML Cloud Engineer will design and implement AI solutions using cloud platforms, manage AI services, and ensure best practices in AI engineering.

The Machine Learning Engineer will design machine learning structures, develop AI agents, handle data processing, and collaborate on system architecture.

The Director of Engineering (Data) leads the technical foundation for data platforms and AI, defining strategy and driving collaboration to deliver impactful data products.