Top Machine Learning Jobs in Seattle, WA

The Staff Software Engineer will develop scalable machine learning workflows, implement cloud-based infrastructure, and support ML applications integration at Snap Inc.

The ML Engineer/Data Scientist will design and support intelligence features for search services, analyze data for relevancy improvements, and deploy machine learning models at scale.

The MTS Hardware Engineer will design and integrate server racks, oversee the hardware design for cloud solutions, and guide technical teams while managing product launches and architecture strategies.

The Principal Architect for Generative AI Solutions designs AI integration into platforms, crafts technical blueprints, leads strategic initiatives, and collaborates with teams to enhance innovation and operational efficiency.

Lead the Machine Learning and Applied Science team to deliver high-impact models and algorithms while guiding technical architecture and collaborating with other engineering teams.

Design and deploy AI solutions, mentor junior data scientists, and lead projects focusing on unstructured data and scalable ML models for HR applications.

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

The Senior ML System Engineer develops infrastructure for ML models and pipelines, collaborating on AI solutions for Atlassian products.

Manage a team of AI and computer vision engineers to deploy AI models in medical devices, ensuring compliance, quality, and innovation.

Lead and manage the GenAI/AI team, ensuring safe operations and implementing advanced technologies for space exploration. Collaborate with specialists to optimize AI systems and mentor future leaders.

As a Software Engineer III (Machine Learning), you will build ML tools, maintain code, automate development processes, and ensure quality while collaborating with data scientists and engineers.

Develop and enhance the Outreach Kaia assistant using Conversational AI and Machine Learning. Collaborate with teams to deliver scalable solutions.

Manage the Startups Applied AI team, develop LLM solutions for startups, and provide technical guidance while ensuring team growth and productivity.

As Engineering Manager, you'll lead a technical team focused on developing innovative features for advertising. Responsibilities include managing engineers, guiding project objectives, monitoring performance, and supporting junior developers in their growth.

As a Senior Software Engineer at Cognitiv, you'll lead the technical design and development of AI-driven advertising features, mentoring junior engineers and implementing back-end services with machine learning technologies.

Design and optimize ML infrastructure systems, build feature generation pipelines, develop high-performance inference systems, and manage scalable data for machine learning models.

The Software Engineer in ML Infrastructure will optimize AI training systems, build scalable ML infrastructure, and collaborate closely with ML engineers to enhance model deployment.