Top Machine Learning Jobs in Raleigh, NC

Lead an R&D ML team to develop and deploy AI/ML solutions for semiconductor manufacturing. Guide cross-functional research, mentor engineers in computer vision, physics-informed ML, and reinforcement learning, and apply materials science expertise to advance product development.

As Director of Product, you will define and drive Kobie's data platform strategy to enhance marketing and loyalty programs, focus on AI integration, and develop commercial models.

Partner with functional leaders to translate business strategy into people strategy. Own org design, performance management, compensation, talent development, engagement, and retention. Provide coaching on career pathing, change management, and sensitive employee issues. Use people data to generate insights and recommendations, build compliant HR policies, manage global employee relations, and collaborate with People Team COEs to deliver cohesive people programs at scale.

Lead and transform the Fraud Intelligence Team into a high-impact function by improving operating models, QA, tooling, and metrics; build entry-level talent programs; connect labeling to measurable fraud prevention outcomes; deliver actionable insights to Product, R&D, Analytics, and GTM; and leverage AI and automation to increase productivity and business impact.

Lead and deliver GenAI projects from research to production, collaborating with engineering and business partners. Design LLM-based solutions, drive multiple initiatives, mentor team members, present results to stakeholders, and realize measurable business impact.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

Own product strategy and delivery for chat, voice, and proactive support surfaces to maximize automation rates and CSAT. Build AI-integrated capabilities with ML/LLM teams and vendors, partner with Engineering, CX Operations, Data Science, and Compliance on platforms (Amazon Connect, Sprinklr, Salesforce), drive build-vs-buy decisions, and execute cross-functional delivery to optimize customer and agent experiences.

Serve as second-in-command for Coinbase Derivatives' Market Regulation Department, leading day-to-day regulatory compliance, managing exams and audits, advising on CFTC Core Principles, reviewing surveillance escalations and enforcement actions, and coordinating cross-functional regulatory workstreams to ensure the DCM meets obligations and resolves findings timely.

Provide legal guidance on Rubrik's AI use and products, ensuring compliance with laws and contracts, drafting and negotiating AI terms, coordinating generative AI review processes, educating employees, and improving AI review controls and workflows across cross-functional teams.

Develop and optimize state-of-the-art deep learning and ML techniques for current and next-generation GPUs. Analyze and tune performance, provide GPU-based AI solutions to customers, and collaborate with architecture, research, libraries, tools, and system software teams to influence future hardware and software designs.

Lead strategy and execution for an ML-driven clinical attrition and engagement product. Partner with Data Science, Engineering, UX, and commercial teams to define telemetry, model design, evaluation, deployment, and monitoring. Drive discovery, prioritize features, define requirements, lead sprints, and measure business impact. Support go-to-market, documentation, and post-launch iteration while mentoring PM best practices.

Lead design and development of data engineering and AI/analytics solutions for Azure-scale platforms. Identify AI opportunities, build data pipelines, analytics, and visualizations, and collaborate with engineers, scientists, and program managers to deploy data-driven solutions improving cloud hardware quality and efficiency.

Lead design and delivery of AI solutions for pharmaceutical R&D, leveraging foundation models, LLMs, RAG, agentic AI, knowledge graphs, and data architecture. Drive data integration, governance, model selection, evaluation, and production deployment while advising stakeholders, running workshops, and developing reusable methodologies to scale trustworthy, explainable AI in regulated life sciences environments.

Lead and grow a platform engineering team responsible for ML training and serving. Define roadmap, drive execution, ensure reliability, optimize GPU and deployment infrastructure, and collaborate with ML, product, and infra teams to support high-priority ML initiatives.

Manage a team of data scientists to develop fraud detection models, lead planning and collaboration with leadership, and communicate outcomes effectively while maintaining strong business intuition and technical leadership.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

Join Oliver Wyman's Data & Analytics team to design and implement analytics and ML solutions, build prototypes, communicate results to clients, and support projects across industries including finance, energy, retail, and transportation.

Use legal expertise to create and evaluate training data and AI outputs, perform legal research and analysis, provide actionable feedback to data science and product teams, support senior leads, participate in stakeholder presentations, and advocate for responsible AI.

The Senior Product Manager will oversee the strategy and development of telematics data products, manage cross-functional teams, and ensure product viability and market alignment through customer insights and technical fluency.

Own and execute multi-year strategic partnerships with a hyperscaler and an AI lab, aligning technical integrations, commercial motions, and joint go-to-market plans. Coordinate cross-functional teams, run operational cadences, track measurable outcomes (pipeline, ARR, integrations), and represent partnerships to executives while driving hands-on execution and follow-through.

Lead end-to-end semiconductor product lifecycle from concept to high-volume manufacturing. Define validation, qualification, reliability and ESD/latch-up strategies. Drive statistical characterization, yield analysis, failure analysis, and AI/ML-enabled analytics. Influence cross-functional decisions, mentor engineers, and ensure product readiness through data-driven qualification and reliability practices.

Design and deploy machine learning models for financial document processing, optimize large language models, collaborate with cross-functional teams, and guide junior peers in a fast-paced environment.

The Senior Staff Machine Learning Scientist will lead research initiatives in computer vision and multimodal understanding, develop novel models, and translate research into practical applications while mentoring team members.

The Senior Software Engineer will design and develop software for BioDevices, integrating hardware controls, troubleshooting, mentoring team members, and ensuring high-quality solutions.

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.