Top Remote Machine Learning Engineer Jobs in Seattle, WA

As a Senior Staff Machine Learning Engineer at Affirm, you will lead complex ML system design and implementation, mentor engineers, and drive innovative ML strategies for financial services.

As a Senior ML System Engineer, you'll develop infrastructure for ML models, collaborate with product teams, lead projects, and mentor junior members.

Innovate core intelligence solutions within DevAI products, focusing on LLM integration, prompt engineering, and developing AI features in collaboration with diverse teams.

The Senior Machine Learning Engineer will lead AI coding agent design and deployment, optimizing ML pipelines and collaborating with product teams to enhance developer productivity.

As a Machine Learning Engineer, you'll enhance ML productivity, improve model deployment, and implement algorithms for credit decisioning systems.

As a Senior Machine Learning System Engineer, you will develop and enhance machine learning systems, collaborating with teams to improve product functionality and performance.

Seeking a Senior Machine Learning System Engineer with expertise in AI and machine learning algorithms to enhance team productivity.

The Senior Machine Learning Engineer at Atlassian will work on developing and implementing machine learning models, focusing on enhancing team collaboration tools. Responsibilities include building algorithms, optimizing performance, and collaborating with cross-functional teams to support product development.

As a Senior Machine Learning Engineer, you will define search metrics, optimize retrieval paths, and investigate search-quality issues to enhance operational excellence.

As a Senior Machine Learning Engineer, you will develop scalable ML solutions, collaborate with teams, optimize models, and implement best practices for deployments and infrastructures.

The Senior Machine Learning Engineer will develop ML APIs, build data pipelines, and collaborate across teams to enhance ML models and applications.

As a Senior Machine Learning Engineer, you will design ML infrastructure, lead zero-to-one initiatives, collaborate on projects, and enhance scalability in the development of ML applications.

Dandy seeks a Machine Learning Engineer to develop 3D computer vision models using SOTA methods, collaborate with product teams, and implement MLOps pipelines.

The role involves building computer vision models, researching deep learning methods, handling large datasets, and implementing MLOps best practices.

As a Sr. Machine Learning Engineer, you'll develop ML solutions for healthcare, manage data pipelines, write production-ready software, and own ML services end-to-end.

Design and deploy machine learning algorithms, develop production systems, and collaborate with stakeholders to align ML solutions with business objectives.

As a Machine Learning Engineer, you'll architect data pipelines, build ML training workflows, integrate event streams, and collaborate with teams to improve model performance and ensure compliance.

Lead the development of ML solutions to enhance user experience at Babylist. Build recommender systems and personalization features from scratch, collaborating with a cross-functional team.

The role involves designing, optimizing, and deploying machine learning models for edge environments, focusing on computer vision. The engineer will collaborate with teams to integrate models and improve inference efficiency while mentoring peers and upholding company values.

Design and develop edge AI firmware for camera systems, ensuring accurate AI algorithms, collaborating on architecture, and mentoring engineers.

Lead the design and delivery of large-scale solutions in Generative AI and Big Data, while mentoring teams and driving innovation.

Design and deploy machine learning solutions across AI use cases, working with cross-functional teams to translate healthcare challenges into scalable systems.

The Staff Machine Learning Engineer will develop ML models and infrastructure for personalized experiences, collaborating with teams to implement end-to-end solutions and ensure high quality in systems development.

The Machine Learning Engineer will execute the full ML lifecycle, collaborating on model implementation and improving customer experiences through data-driven insights.

As a Junior AI/ML Engineer, you will work on generative AI applications, traditional ML projects, and MLOps, under the mentorship of senior engineers.