Top Machine Learning Jobs in Raleigh, NC

This residency allows senior analysts and portfolio managers to explore AI's impact on private equity, comparing human judgment with AI, and designing frameworks for evaluating AI decision-making in financial contexts.

The Client Success Executive role involves managing client relationships, ensuring successful deployment and support, and driving client outcomes in the healthcare technology sector.

AVIA seeks experts in Digital Health and AI for advisory roles to support healthcare systems' technological transformations as part-time, project-based consultants.

The Product Tax Lead will manage tax requirements in product lifecycles, ensuring compliance and collaboration between Tax, Product, and Engineering teams.

The role involves building end-to-end modeling pipelines, developing models, delivering insights to stakeholders, and collaborating with a technical team in a fast-paced environment.

As a Manager of Data Science, you will lead AI and machine learning projects, mentor teams, and collaborate with cross-functional groups to align AI solutions with business goals.

The Associate Director, Growth Marketing will lead customer acquisition strategies, optimize Google advertising channels, analyze performance, and potentially build a team as the company scales.

The Business Operations Associate will drive data-driven decisions, perform analyses using machine learning, and optimize operations for growth at Jerry.ai.

The Senior Engineering Manager at Planet leads the engineering team, focusing on delivering products for Defense Intelligence. Responsibilities include mentoring engineers, refining processes, and collaborating across teams for effective deployment of technology.

The VP of AI and Innovation will define and lead the AI strategy at BeOne Medicine, focusing on innovation, data management, and organizational enablement in healthcare. They will mentor teams and engage stakeholders to drive AI adoption and ensure alignment with business objectives.

Lead technical engagement across pre-sales, deployment, and post-sales for on-premises quantum systems. Drive customer success, inform product development, support sales with deep HPC/AI/optimization expertise, present at industry events, and translate customer needs into deployment strategies and R&D feedback.

As a Product Lead, you will craft the vision and strategy for Payments Intelligence, prioritize projects, and manage a team to optimize products that maximize user revenue while minimizing costs.

The Global Process Owner for S&OP leads the design and continuous improvement of the S&OP process, ensures collaboration across functions, and drives digital transformation and automation within the organization.

Lead ML strategy and delivery for Documents & Biometrics. Define AI/ML roadmap, drive technical excellence across model lifecycle, build scalable MLOps and data pipelines, mentor senior teams, ensure ethical, compliant ML deployment, and collaborate cross-functionally to deliver measurable business impact.

The AI Engineer will design, implement, and prototype GenAI and ML solutions to enhance operational intelligence and efficiency in investment services.

As an AI Engineer, you'll work closely with customers to understand their needs, train and deploy models, and build scalable AI systems.

As a Research Intern, you will prototype and productionize research in AI and cryptographic schemes, collaborating with teams for real-world impact.

Lead product development for credit card decisioning and customer journeys, translating credit policy and data into real-time actions. Partner with Engineering, Data, and Credit to operationalize underwriting and payment models, run experiments, use SQL for analytics, and craft roadmaps that balance business outcomes with customer well-being.

Lead efforts in applying reinforcement learning techniques to enhance model quality and controllability for creative applications. Mentor researchers and contribute to human-in-the-loop systems.

The VP of Marketing will scale marketing functions, drive demand generation, build teams, establish marketing strategies, and coordinate with sales to enhance pipeline and revenue growth.

Lead the Mid-Market Sales team to connect technical organizations with AI and data science tools, driving adoption and growth through value-based selling and strong partnerships with engineering teams.

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

The Senior Backend Data Engineer will extend data ingestion and processing pipelines, build APIs and backend services, and provide technical leadership.

Lead technical integrations with affiliate partners, own inbound data validation and routing, improve and evolve APIs, monitor and ensure high-performance, and build testing/observability for real-time bidding pipelines.

Lead the development of intelligent decision engines modeling customer intent in real-time using advanced data science techniques such as causal inference and machine learning. Collaborate with cross-functional teams to optimize systems for search, fulfillment, and customer experience.