Top Machine Learning Jobs in Raleigh, NC

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

The Senior Product Manager will lead product development for marketplace growth, enhance quoting systems, oversee integrations, and utilize AI to improve customer experience.

The Sr Manager of Business Operations & Strategy will scale the core insurance business, driving strategy and execution for growth from 5M to 50M customers.

IQVIA is seeking to build a team for a new AI initiative, focusing on integrating diverse health data to improve patient outcomes. They invite expressions of interest from strategic leaders.

Lead the design and implementation of simulation-based validation strategies for autonomous systems, mentoring engineers and ensuring performance metrics are met.

The Senior Product Manager will define the strategy for auto loan collections and recoveries, develop customer-facing tools, track success metrics, and make data-driven product decisions to optimize business outcomes.

The Senior Cloud FinOps Engineer optimizes cloud cost management through architectural changes, automation, and collaboration, focusing on efficiency in hybrid cloud environments.

Lead a small innovative team to develop data science and AI solutions. Define AI strategy, mentor team members, and integrate AI into business processes.

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.

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 Applied Scientist II is responsible for designing and implementing ML models to optimize the supply chain, collaborating across teams, and driving data-driven decision-making.

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.

Develop and productionize a next-gen Dispatch System, build ML models, automate processes, and collaborate with various teams while mentoring other engineers.

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.

As a Senior AI Programmer, you will develop AI systems for interactive projects, collaborating with teams, optimizing code, and prototyping features.

Lead complex cross-functional technology projects, ensuring timely delivery through strategic planning, proactive risk management, and effective communication with stakeholders.

As an AI Integrations Staff Engineer at Vetcove, you'll integrate AI models like ChatGPT into existing products, optimize performance, and collaborate with data science teams to enhance user experience.

Lead customer acquisition strategies and optimize paid marketing channels, primarily focusing on Google platforms. Transition into a leadership role over time.

The Principal Product Manager, AI will lead the AI platform strategy at Webflow, collaborating across teams to enhance product innovation and growth, and develop a unified AI strategy based on customer insights.

Lead a team in developing and implementing computer vision models for 3D dental applications, focusing on machine learning and deep learning technologies.

Lead product management and technology initiatives for supply chain and manufacturing systems at Dandy, driving strategic vision and execution for growth.

Lead the Data Science & Engineering department, fostering a data-centric culture, overseeing teams, and collaborating on data strategy to enhance organizational insights and product experiences.

Design and build systems for knowledge retrieval and operational plans, optimizing information retrieval processes to support real-time decision-making.