Top Machine Learning Jobs in Raleigh, NC

As a Senior Machine Learning Engineer at Samsara, you'll develop ML solutions for physical operations, driving new initiatives and optimizing systems. Collaborate with engineering teams to create end-to-end ML applications while influencing industry practices and contributing to company culture.

The Strategy Analyst will support the Patrick J. McGovern Foundation's mission by conducting research on data and AI for social good, identifying potential grant partners, and contributing to the development of grantmaking strategies. The role involves collaboration with the Strategic Capital team to ensure efficient allocation of resources.

The Engineering Manager will lead a team focused on enhancing Reddit's search products, using AI and machine learning to improve relevance and ranking systems. Responsibilities include team management, career development for engineers, collaboration with product and management, and ensuring alignment with company goals.

Lead the design and integration of Generative AI solutions in Firefox. Develop and optimize machine learning tooling, infrastructure, and models for enhanced user experiences. Collaborate with various teams to ensure reliable and efficient AI implementations.

As a Partner Integrations Manager, you will lead and drive the OEM and Vendor Partner integrations roadmap, manage relationships with stakeholders, and oversee the entire integrations process. Your role involves ensuring effective data exchange, training teams, and representing the company at conferences. You are expected to make data-driven decisions and communicate effectively with both technical and non-technical partners.

As a Data Scientist at KACE, you'll support various data science needs including data mining, statistical analysis, and building predictive models. You'll work on enhancing data collection, processing, and ensuring data integrity while creating automated detection systems and performing ad-hoc analyses.

The Manager of Fraud Operations will develop and optimize fraud detection strategies, manage a fraud operations team, analyze fraud data for trends, collaborate with cross-functional teams, lead investigations into fraudulent activities, and promote continuous improvement within fraud operations.

The Client Partner will manage client relationships and oversee project delivery within the Banking/Payments division. Responsibilities include leading complex projects, contributing to sales, maintaining client communication, and fostering collaboration among cross-functional teams. The role requires a strong background in banking or payments and proven leadership ability in managing project execution.

As a Senior Product Manager, you will lead the strategy and execution for Reddit's Ads Marketplace, focusing on product development, innovation, and collaboration across teams to enhance user experience and monetize the platform effectively.

Design, develop, and deploy machine learning solutions while collaborating with product managers, data scientists, and backend engineers. Engage with stakeholders to ensure alignment with business goals and enhance operational efficiency through refined algorithms and models.

The Sr. Data Scientist II will analyze complex datasets, implement and maintain AI/ML models, support secure integration of technologies, and work with federal agencies to provide subject matter expertise. The role emphasizes creative problem-solving and delivering impactful solutions to improve data usability.

The Machine Learning Engineer II, Economist will design and build end-to-end machine learning solutions, work within product teams, and develop impactful solutions to support Instacart's growth. They will contribute to projects involving causal inference and engage with internal communities to share knowledge.

As a Data Scientist at StackAdapt, you will innovate and develop ML algorithms to optimize advertising performance. You'll also collaborate with Data Engineers, prototype algorithms, and analyze historical data for insights.

The Vice President of Data Science Research leads the research organization in developing innovative methods for cancer screening, manages resources and staff, fosters collaboration, and aligns team objectives with company goals, leveraging extensive experience in data science and machine learning.

As a Cybersecurity Product Manager, you'll lead security initiatives by partnering with engineering teams to create product roadmaps, manage technical specifications, and ensure compliance with cybersecurity standards. Responsibilities include analyzing market trends, optimizing products using metrics, and integrating customer feedback into the development process.

The AI/ML DevOps Engineer at RapidScale will design and manage cloud infrastructure across platforms, automate deployment processes, enhance system performance, and maintain security standards. Responsibilities include managing MLOps pipelines, containerization, CI/CD, network services, and creating documentation.

As a Data Science TLM Manager, you will lead a team to enhance Airbnb's search and personalization strategy, ensuring high-quality models and collaboration with cross-functional teams. Responsibilities include mentoring data scientists, developing recommendation models, and analyzing the impacts of model changes on user experience.