Top Machine Learning Jobs in Portland, OR

Lead AI and linguistics teams to develop advanced language technologies, driving innovation and defining the vision for multilingual writing tools.

Snyk seeks a solutions-oriented technical leader to enhance partner relationships in AI security, crafting solutions to demonstrate the value of their AI Trust Platform.

The Senior Staff Software Engineer will drive infrastructure improvements and build systems to enhance user experience and growth at Coinbase.

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

As a Business Operations Associate, you will support data-driven decisions, conduct A/B testing, and optimize operational efficiency across business initiatives.

The Senior Associate will utilize data-driven strategies to inform business initiatives, conduct A/B testing, and improve operational efficiency within the organization.

As a Machine Learning Engineer, you'll lead projects in data acquisition and curation, develop scalable systems for ML datasets, and analyze data for insights. Collaborate with AI researchers, build datasets, and write well-documented code for generative AI features in Autodesk products.

Lead and manage an engineering team to enhance the Sponsored Results platform, focusing on machine learning and full-stack solutions to drive revenue growth and improve client interactions.

Lead the development and management of Jerry.ai's AI-driven communications product, focusing on enhancing automation and customer satisfaction through innovative messaging systems.

Lead AI initiatives at GM, developing comprehensive strategies aligned with business objectives and promoting best practices in a cross-functional environment.

As Director of Business Operations & Strategy, you'll scale Jerry.ai's core insurance business, overseeing strategy and execution for growth metrics while collaborating with product, engineering, and analytics teams.

Lead a team of Data Scientists and Machine Learning Engineers to develop ML models, drive product strategy and enhance data infrastructure.

The Senior Product Manager will develop risk management strategies, build scalable solutions, manage product roadmaps, and ensure compliance with financial regulations, while leading cross-functional teams.

As a Staff Machine Learning Engineer, you'll define technical strategies, design ML models, implement real-time ML pipelines, and deploy systems at scale to enhance Coinbase's operations and user protection.

The Principal Product Manager will oversee AI/ML initiatives, drive product development, translate strategy into technical specs, and manage product lifecycle.

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

Responsible for designing, developing, and deploying ML models to optimize supply chain processes, collaborating with cross-functional teams, and mentoring junior scientists.

The Senior Machine Learning Engineer will architect advanced agent-driven ML systems, oversee development and deployment, and ensure cross-team collaboration. Responsibilities include automation, system monitoring, and compliance oversight.

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 an AI Integration Engineer, you will integrate AI models into products, collaborate with data science teams, and enhance user experience.

The Engineering Manager, Applied AI will lead and mentor a team focused on generative AI products, oversee project development, and collaborate with cross-functional teams to drive software development best practices.

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

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

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

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.