Top Machine Learning Jobs in Providence, RI

Analyze content performance, influence product roadmap, manage content strategies, classify data, and collaborate with engineering on AI and ML initiatives.

The role involves building AI technologies for customer service, developing ML systems, and collaborating with cross-functional teams to enhance user experiences.

As a Senior Machine Learning Engineer on the Perception Team, you will define technology direction, architect solutions for autonomous vehicles, collaborate with team members, and mentor junior engineers, contributing to high-stakes projects in autonomous driving.

The Director/Senior Director of Client Services leads project management and implementation for clients, fostering client-vendor relationships and transforming business processes through technology. Responsible for team management, client education, and data analysis, ensuring optimal usage of Enterra's solutions.

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

The CEO will lead AiTomic's development, oversee strategy and partnerships, and drive AI innovation in nuclear power operations.

As a Machine Learning Intern, you will work on advanced AI solutions, collaborate with teams to design ML systems, and analyze data to enhance user experiences at Dropbox.

Lead and mentor a team of machine learning engineers to develop AI-driven product features, ensure production quality, and align with strategic goals.

The Solutions Architect for Workday design AI-ready solutions for HR systems, implement complex integrations, and partner with cross-functional teams to enhance employee experience and operational excellence.

Lead a team of engineers to develop AI and data products for optimizing guest and host applications, ensuring delivery of high-quality machine learning initiatives.

As a Staff Developer, you'll lead the AI team at 1Password, setting technical direction, developing ML tools, and collaborating with various teams.

As a Machine Learning Engineer, you will design, build, and test deep learning features, optimizing computer vision applications while collaborating with the ML team and improving processes.

The Solutions Architect conducts platform demonstrations, designs use case mockups, responds to customer queries, and collaborates on RFPs to showcase One Model's people analytics solutions.

Lead the advancement of embedding-based retrieval systems, focusing on multimodal models, model performance, and extensibility for various use cases.

Lead global reliability for Socure's identity verification platform, focusing on system architecture, incident management, and improving developer experience using AI and advanced engineering practices.

Lead product engineering strategy for high-impact identity verification and fraud prevention products at Socure, managing teams and ensuring high performance and rapid release cycles.

As a Senior Machine Learning Engineer, you'll develop models for risk identification, collaborate cross-functionally, and deploy ML solutions, ensuring performance monitoring and continuous improvement.

The VP Analyst will conduct in-depth research on AI technologies in Cloud IT services, develop market insights, engage clients, and contribute to thought leadership.

The Senior Product Marketing Manager will create and execute strategies to enhance visibility and growth of Socure's workforce products, collaborating with various teams, conducting market research, and supporting product launches.

The Core Engineer will develop backend systems, utilize AI tools for code quality, and optimize application performance while collaborating closely with teams.

The Senior Product Manager will lead the pricing and valuation engine, overseeing ML modeling, pricing systems, and improving valuation accuracy while managing cross-functional roadmaps and execution.

Lead the strategy and implementation for Engine Data at Unity, building data infrastructure for machine learning. Collaborate across teams to enhance developer insights and drive product roadmaps that support both immediate and long-term goals.

Manage and scale engineering and data science teams, build AI-powered systems, oversee data pipelines, and enhance ML models to improve healthcare engagement.

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.