Top Machine Learning Jobs in Raleigh, NC

Lead and manage a team of data scientists to leverage insights for business growth, influence decision-making, and foster an inclusive team culture.

The Principal Engineer will lead technical strategy for ad products, mentor teams, oversee significant engineering projects, and drive innovation in machine learning and advertising technology.

As a Principal ML Engineer, you will establish the technical vision for personalization at Launch Potato and drive alignment across ML teams while solving complex challenges and mentoring engineers.

The Principal ML Engineer establishes the technical vision for personalization and designs ML solutions that drive company strategy. Responsibilities include solving ML challenges, leading cross-functional initiatives, and mentoring senior engineers.

Lead the technical vision for personalization at Launch Potato, architecting ML solutions and influencing strategy while mentoring senior engineers.

Lead the technical vision and strategy for personalization at Launch Potato, solving complex ML challenges and mentoring senior engineers.

The Platform Manager will shape strategies for automated training for customer service agents, collaborating with teams to enhance Airbnb's global customer service capabilities.

The role involves researching and prototyping computer vision models, leading ML projects, and collaborating with engineers to implement solutions. You will explore state-of-the-art models using PyTorch and contribute to open-source initiatives.

As an Enterprise Account Executive, you'll manage end-to-end sales cycles, qualify leads, close deals, and collaborate with various teams to drive growth in customer accounts.

The Associate Global Forecasting Director will be responsible for U.S. short-term revenue forecasting, supporting European cluster forecasts, and collaborating with commercial and finance teams to provide actionable insights for decision-making.

Join Xaira Therapeutics as an AI Research Engineer to develop AI models for drug discovery. Collaborate with interdisciplinary teams to leverage AI in healthcare.

As an AI Scientist, you will develop deep learning methods, work on AI models for drug discovery, and collaborate with interdisciplinary teams.

The AI Technical Operations Lead will source and integrate AI tools to enhance productivity, manage projects cross-functionally, and evaluate their ROI to improve workflows.

As a Customer Onboarding Manager, you'll design a scalable onboarding process, conduct kickoff sessions, align resources, and ensure deployment readiness for customers, maximizing their success.

The Machine Learning Scientist will develop models and systems for content metadata and discovery at Netflix, collaborating with teams to operationalize AI solutions. The role requires significant experience and collaboration with stakeholders.

As a Machine Learning Engineer, you will develop and operationalize models for content understanding and discovery, collaborating with cross-functional teams and stakeholders to solve impactful problems using machine learning.

As Customer Success Manager, you will manage customer relationships, ensure they achieve their goals with ReflexAI, and collaborate with cross-functional teams.

Deliver compelling presentations and host discussions on emerging AI topics, engaging with senior leaders to translate AI concepts into strategic insights.

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.

The ML Research Scientist will focus on researching and implementing methodologies for explaining and evaluating fairness in ML models, ensuring compliance and trustworthiness in lending practices.

The role involves managing AI/ML products at Velocity Black, collaborating with stakeholders, optimizing concierge services, and driving innovation. Candidates should have experience in product management and a passion for AI/ML technologies.

The Sales Engineer will serve as a technical lead, guiding clients on advanced data integration and analytics solutions in healthcare, impacting revenue and client engagement.

The AI Researcher will lead Optiver's new AI Lab, developing AI strategies, building a team, and driving advanced machine learning research and applications.

Lead the technical vision for deep learning architecture in therapeutic discovery. Mentor a team and collaborate across functions to implement innovative machine learning models.

The Head of Disputes & AI Operations will lead Casap's dispute strategy, leverage AI to optimize processes, and ensure customer success while overseeing a high-impact team.