Top Machine Learning Jobs in Raleigh, NC

The Principal Machine Learning Engineer at Workiva leads ML initiatives, architects scalable systems, mentors teams, and drives the adoption of ML methodologies, while ensuring production readiness and sustainability.

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 Software Engineer III will focus on leveraging Generative AI for patient solutions, enhancing voice AI agents, and managing technical projects while mentoring peers.

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

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 Research Scientist will investigate complex research questions using AI, develop innovative solutions, and create evaluations ensuring trustworthy information.

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

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 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 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 VP of Business Development will lead sales growth strategies, manage relationships, and build the BD team to drive significant revenue increases.

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 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 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.

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 technical delivery and customer success for federal clients, ensuring compliance and integration of solutions while managing relationships and program execution.

The Sr. Fraud Analyst identifies and mitigates vulnerabilities in billing and payment systems, analyzes fraudulent activities, and collaborates with internal teams to strengthen security measures.

The AI Transformation Director will drive AI strategy across teams, lead projects, collaborate on solutions, and ensure ethical AI use.

As a Solutions Architect, you will enable and support DGX Cloud Partners, enhancing their onboarding experience while providing technical expertise and fostering customer satisfaction with NVIDIA's AI platform.

Lead the ML Automation & User Experience team to develop tools that streamline the ML lifecycle, ensuring efficiency and user satisfaction.

Lead a team of Data Scientists and Analytics Engineers at Netflix to enhance game development through data science and machine learning.