Top Machine Learning Jobs in Seattle, WA

Develop machine learning driven products and tools for Firefox, lead design and integration of AI models, and mentor junior engineers.

The Technical Director will lead technical vision and strategy, influence client relationships, and ensure successful execution of Data & AI projects, while mentoring teams.

Lead ML Performance Optimization for autonomous driving, collaborating across teams, implementing optimization techniques, and mentoring engineers for career growth.

The Machine Learning Engineering Manager will lead a team of engineers to deliver ML features, manage strategy, and cultivate talent in a growing startup.

Design and develop machine learning models, making architecture decisions, engaging in client interactions, and mentoring teams in a collaborative environment.

The SIGINT Systems Engineer will guide SIGINT programs through Agile practices, Cloud migration, and automation, focusing on systems engineering and integration.

Design and develop scalable machine learning solutions to enhance Netflix's personalization systems, while collaborating with cross-functional teams.

In this role, you will design and build a platform for large-scale machine learning model training and optimize its operations. You'll create APIs for both ML practitioners and non-experts, focusing on enhancing cost-effectiveness and reliability in machine learning applications.

Lead a team to build big data pipelines using distributed computing tools, collaborate with cross-functional teams, and drive technical and business priorities.

Research, develop, and productize Multilingual Live Caption and Translation models while collaborating with a cross-functional team to enhance localization.

Develop and enhance ML infrastructure for LLMs, partnering with multidisciplinary teams to deliver scalable, robust systems impacting user experiences.

Hypergiant seeks experienced engineering professionals for future opportunities in software development, systems engineering, and data science, requiring active U.S. national security clearance.

As the Engineering Lead, you will guide product strategy, manage and mentor engineers, and ensure successful execution in product areas, focusing on machine learning and technical expertise across teams.

As a Research Engineer, you will develop and enhance AI algorithms for self-driving vehicles, collaborating with scientists to advance technology and support deployment in production systems.

As a Senior Specialist in IT Operations, you will provide technical support, troubleshoot complex issues, drive process improvements, and enhance IT workflows using automation and AI.

The Senior Power System Studies Engineer designs and applies AI/ML techniques for power system optimization, conducts simulations, and mentors junior engineers.

You will take ownership of ML Ops systems, improve CI/CD processes, and enhance software infrastructure for ML Engineers providing real-time intelligence products.

Lead the development of device intelligence and fingerprinting systems by designing backend services, collaborating on integrations, and applying advanced machine learning algorithms to enhance security and combat fraud.

Lead the architecture and development of Reddit's ML Feature Platform, overseeing real-time feature store design, team mentorship, and infrastructure optimization.

As a Software Engineer for ML Feature Platform at Reddit, you'll architect and maintain infrastructure for ML features affecting user engagement. Responsibilities include working with large-scale systems, coding in Python, Scala, and Golang, and utilizing Kubernetes and big data technologies.

Lead technical direction for AI across products, architect RAG services, mentor engineers, and ensure compliance in AI usage.

The role involves engaging with customers to provide technical guidance, supporting pre-sales activities, developing technical strategies, and managing risks while collaborating with internal teams to align solutions with customer needs.

The intern will work with the Advanced Technology Organization, focusing on electrical power systems and AI/ML solutions to enhance the Grid Software product suite.

As a Machine Learning Engineer in Computer Vision, you'll develop AI solutions using advanced algorithms, focusing on image classification, segmentation, and video processing tools.

Lead the team responsible for the ML serving and deployment infrastructure at Pinterest, focusing on performance and productivity improvements while coaching team members.