Top Machine Learning Jobs in Seattle, WA

The Staff Machine Learning Engineer will create models for users and advertisers, perform code reviews, and build scalable products while collaborating with internal and external partners.

The Machine Learning Engineer will create models to drive user and advertiser value, perform code reviews, and build scalable products with a focus on quality.

The Machine Learning Engineer will build and deploy data products, collaborate cross-functionally, improve customer experiences, and mentor others in AI methods.

Lead the development and deployment of machine learning models for sponsored ads at Chewy. Collaborate with product leaders, mentor junior scientists, and publish research to enhance advertising solutions.

The Research Engineer will develop and benchmark ML algorithms, optimize transformer architectures for edge devices, and collaborate on research projects across teams.

Lead the technical vision for Upstart's ML and simulations platform, modernizing infrastructure and mentoring a team while collaborating cross-functionally.

Manage and lead a team of Analysts, focusing on marketing measurement, optimizations, and utilizing machine learning to enhance campaign performance for clients.

As a Senior Machine Learning Engineer, you will build and optimize pipelines, ensure model quality, and collaborate with teams to enhance fraud detection systems.

The Senior Machine Learning Engineer will evaluate and apply advanced ML models, integrate with company infrastructure, and support data pipeline orchestration while focusing on autonomous vehicle technology.

The Machine Learning Engineer Intern will create models for users and advertisers, perform code reviews, and ensure code quality while collaborating with partners and solving ambiguous problems.

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 Principal Machine Learning Engineer will lead the Content Relevance team in optimizing personalized video recommendation systems, advancing core ML capabilities, and collaborating on tech strategies. This role also involves mentoring, technical direction, and applying best practices for system performance.

Lead the development of ranking and relevance models, design ML systems for patient-provider matching, and mentor junior team members.

The Staff Machine Learning Engineer will define technical strategies, design ML models for document processing and risk assessment, and build scalable ML systems to protect Coinbase users' funds.

The Staff Machine Learning Engineer will utilize AI models, mentor team members, and enhance automation solutions across Coinbase's operations, focusing on machine learning to solve complex challenges.

The Senior Machine Learning Engineer will develop models and algorithms for NVIDIA's DGX Cloud, focusing on anomaly detection, optimization, and forecasting. Responsibilities include analyzing data, collaborating with teams, and delivering impactful machine learning solutions.

Develop and deploy machine learning models for risk assessment, collaborating with teams to enhance Gusto's product offerings while ensuring model performance and reliability.

The Principal ML Engineer will develop advanced machine learning systems, mentor junior engineers, and collaborate with cross-functional teams to optimize business solutions in Merchandising and Supply Chain.

The Software Engineer will collaborate with researchers to develop and deploy ML models for pricing, handling model operations and challenges.

Lead the design and implementation of ML systems focused on personalization, addressing complex challenges, and mentoring teams.

As a Principal ML Engineer, you'll define technical vision and architecture for personalization, solve complex ML challenges, and mentor senior engineers.

Lead the technical vision for ML systems focused on personalization at Launch Potato, driving innovation and solving complex challenges across teams.

The Principal Machine Learning Engineer will define the company's ML strategy, solve complex challenges, and lead personalization initiatives while mentoring other engineers.

The Principal Machine Learning Engineer will design ML architecture, solve technical challenges, mentor engineers, and represent the company in the ML community.

Lead a team of ML engineers in building advanced personalization systems, managing technical roadmaps, mentoring engineers, and collaborating with cross-functional teams.