Top Machine Learning Jobs in Portland, OR

The AI Engineering Manager leads a team to develop AI solutions for ERP systems, overseeing design, deployment, and feature development while ensuring alignment with business objectives.

The role involves building and maintaining eBay's CMS backend and machine learning stack, translating requirements into efficient software design, providing technical guidance, and ensuring high-performance systems.

Lead MLOps team to build scalable infrastructure for 3D deep learning, drive ML roadmap execution, and collaborate cross-functionally to enhance ML pipelines.

The Lead Product Manager will drive the personalization strategy for Scribd's platform, overseeing recommendations, metrics, and algorithm integrations while collaborating with cross-functional teams to enhance user engagement.

As a Software Engineer at Upstart, you will develop scalable APIs for data retrieval and decisioning while collaborating with teams to enhance ML models' performance, ensuring data quality and reliability through testing.

Develop ML force fields for life and materials sciences, managing data sets, improving software accuracy, and communicating results with the team.

As a Product Owner, you will oversee AI, ML, and automation initiatives within the Pet Insurance sector, managing product backlogs and collaborating across teams to enhance operational efficiency and customer experience.

Lead a team to develop Dropbox's AI product, Dash. Focus on driving product revenue, operational agility, and mentoring team members. Utilize ML techniques and data-driven insights for decision making.

As a Machine Learning Model Risk Specialist, you will collaborate with model developers to ensure robust model risk management, documentation, and stakeholder communication while adhering to regulatory requirements.

Lead a team of ML scientists to develop advanced AI solutions, manage projects integrating Generative AI, and shape AI/ML vision while ensuring quality SaaS product delivery.

Lead the product strategy for the Data and AI Platform, focusing on customer-oriented AI features, roadmap execution, and collaboration across teams to enhance identity security solutions.

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

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.

The Senior Software Engineer will develop software infrastructure for ML solutions, mentor junior members, and enhance performance and reliability of Dropbox's infrastructure.

Responsible for designing and deploying large-scale machine learning systems, optimizing performance, collaborating with cross-functional teams, and ensuring safe and responsible AI practices.

Responsible for designing and implementing AI solutions across cloud platforms, leveraging Generative AI, and managing AI services, pipelines, and infrastructure.

As a Machine Learning Engineer, you will perform analysis on healthcare data, develop and deploy clinical machine learning models, and collaborate with various stakeholders.

The Staff Machine Learning Engineer will lead the development of AI solutions, ensure project delivery, and manage technical teams while interfacing with customers. Responsibilities include designing data pipelines, overseeing machine learning model development, and facilitating customer engagement.

As a Senior AI/ML Engineer, you'll enhance developer productivity by leading CI solutions, mentoring engineers, and implementing scalable systems.

Lead the architecture and management of AI/ML infrastructure using Kubernetes and Terraform, optimizing hybrid environments for performance and scalability.

Design and build a machine learning platform, deploy ML models, collaborate across teams, and establish monitoring standards for AI solutions.

The Staff Machine Learning Engineer will apply advanced ML techniques to enhance automation and productivity at Coinbase, mentoring junior engineers and managing projects.

The role focuses on developing and optimizing machine learning models and systems, collaborating within an Agile team to solve complex business issues and ensuring deployment best practices.

Lead a team of ML and DevOps engineers to build infrastructure for the ML ecosystem, including tools for experimentation and deployment. Manage a distributed team while enhancing capabilities in ML system operation and analytics production.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.