Top Machine Learning Jobs in Raleigh, NC

As a Product Manager for Risk, you'll design fraud prevention tools, manage cross-functional teams, and improve fraud detection methods.

Lead data partnerships by executing data acquisition strategies, negotiating agreements, and evaluating data quality in clinical and observational studies.

As a Senior Software Engineer, you will create data pipelines for training and evaluating Waabi's autonomous platform, ensuring quality code and collaborating with a multidisciplinary team.

This role involves leading a perception team in developing algorithms for autonomous driving systems, supervising team members, and conducting research to enhance perception capabilities.

Design and implement machine learning models to solve business problems, analyze data for insights, and optimize model performance.

Drive and execute the AI/ML strategy at 6sense, leading teams in data science and ML engineering to develop innovative AI-native products and solutions, while fostering partnerships and thought leadership in the industry.

Lead the architecture of master data and governance solutions, design cloud-ready architectures, data quality management, and implement governance operating models.

The AI Scientist will develop AI models for antibody therapeutic candidates, collaborate with cross-functional teams, and enhance drug discovery processes through AI methodologies.

The role includes developing B2B marketing strategies, collaborating with sales, creating targeted materials, and conducting market research to support growth.

Lead a team of Data and ML engineers, develop ML systems, collaborate on AI solutions, mentor staff, and operationalize ML processes.

The DeFi Researcher will lead client engagements, perform research on DeFi mechanisms, develop predictive models, and publish insights while managing a team to ensure client success.

Lead the vision and strategy for ML personalization, enhancing user experience through recommendation systems and data-driven insights; drive product outcomes and collaboration across teams.

The Product Operations Manager will enhance product development by managing stakeholder relationships, optimizing team practices, and facilitating communication across functions to ensure alignment and efficiency in product delivery.

Lead the implementation of AI-driven supply chain solutions, collaborating with clients to enhance their business processes and ensure seamless technology integration.

Lead MLOps team to build scalable infrastructure for 3D deep learning, drive ML roadmap execution, and collaborate cross-functionally to enhance ML pipelines.

The Senior AI Software Engineer role focuses on creating AI-driven developer tools and workflows to enhance software development while improving productivity and reducing friction for developers.

The role involves leading data analytics and AI solutions for underwriting, translating data into insights, and managing analytics projects.

The R&D Intern will work on NLP projects, develop algorithms, write academic papers, and collaborate with researchers on novel solutions.

The Middle Office Supervisor oversees trade support activities, mentors junior staff, ensures reconciliations, and implements technological solutions for client requests.

Responsible for developing product strategies, collaborating with cross-functional teams, conducting research for product opportunities, and ensuring shipment of product features quickly.

The Marketing Analyst develops data visualizations and executive dashboards, utilizes machine learning for customer insights, and collaborates with teams to drive strategic decisions.

Lead strategic growth and sales efforts in enterprise SaaS for identity and fraud solutions across financial services verticals.

Drive enterprise sales growth across emerging verticals, manage full-cycle sales, and build relationships with C-level stakeholders at innovative companies.

As Government Affairs Manager, you'll drive advocacy strategy, engage with policymakers, and align internal teams on public policy issues affecting identity and technology.

The Principal Solution Consultant ensures maximum value from solutions for clients, focusing on Net Dollar Retention through strategic stakeholder engagement, data analysis, and solution adoption.