Top Machine Learning Jobs in Raleigh, NC

As a Principal Product Manager at Mapbox, you'll drive the navigation strategy by collaborating with engineering and cross-functional teams, analyzing data trends, mentoring staff, and engaging with customers to innovate and execute on product solutions.

The Staff Product Manager will set product vision, drive execution, utilize data for decision-making, and collaborate across teams to grow SMB advertiser retention.

As a Senior Staff Machine Learning Engineer, you will drive AI product development, collaborate with cross-functional teams, and enhance ML models at scale.

Lead the strategy for community support products, utilizing AI to enhance user experience and scalability globally. Collaborate with teams to create a seamless support platform and assess product performance.

The Senior Project Manager will oversee collaboration projects, manage cross-functional teams, ensure project timelines are met, and maintain effective communication between internal and external stakeholders.

The Principal ML Engineer will define and lead the ML architecture and strategy, solve complex challenges, and mentor engineers across the company.

The Director of Data Science, Operations will lead a data science team, innovate machine learning models, and improve financial operations for the company.

The Machine Learning Architect will design and implement ML solutions on cloud platforms, working directly with customers to align strategies with business goals. Responsibilities include end-to-end project management, model deployment, and maintaining strong customer relationships.

As a Senior Solution Consultant, you'll advise clients on identity verification solutions, lead technical workshops, and collaborate with sales and engineering teams to ensure client satisfaction and product alignment.

The Senior Product Manager will lead cross-portfolio initiatives, manage client relationships, collaborate with technical teams, and drive product development in the insurance sector.

The Data Analyst will handle data interrogation and preparation for predictive modeling, collaborate on projects, and create data assets for the P&C insurance market.

As a Machine Learning Engineer, you will perform analysis on healthcare data, develop and deploy clinical machine learning models, and collaborate with various stakeholders.

Lead the fraud strategy to protect customers and card portfolios, develop real-time models with Data Science, and manage fraud performance metrics. Collaborate across teams to implement effective fraud controls and optimize processes.

Participants are needed for an AI technology research study, offering compensation up to $600 for ~1.5-2 hours of participation over one week, requiring skills in tech-related roles.

Own end-to-end go-to-market strategies for FiftyOne Enterprise, bridging technical ML engineering with commercial goals through strategic messaging, GTM execution, and market intelligence.

The Data Science Manager will lead a multidisciplinary team in delivering data science solutions, ensuring alignment with strategic goals and managing project delivery processes.

Lead the development of AI-driven security workflows, integrate machine learning models, establish data pipelines, and mentor engineers.

The role focuses on developing go-to-market strategies, creating technical content, product launches, and enabling sales for AI and data solutions.

The Client Partner will manage relationships with key customers, drive revenue growth, and uncover new business opportunities while ensuring effective delivery of services.

Manage client relationships and energy market participation, ensuring program delivery, stakeholder engagement, and compliance with funding requirements. Foster client success through communication and expertise in energy solutions.

The Associate Principal leads Data & AI business development, managing client relationships and driving market strategies to exceed client expectations.

The Senior Software Engineer will develop software infrastructure for ML solutions, mentor junior members, and enhance performance and reliability of Dropbox's infrastructure.

Responsible for designing and deploying large-scale machine learning systems, optimizing performance, collaborating with cross-functional teams, and ensuring safe and responsible AI practices.

Lead and mentor data science teams to develop experimentation techniques for the ads business and drive data-driven decision making at Netflix.

The Staff Machine Learning Engineer will design, build, and deploy machine learning models to enhance Vetcove's platform, improving operational efficiency for veterinary practices. Responsibilities include developing APIs, integrating models, and mentoring team members.