Top Machine Learning Jobs in Raleigh, NC

Develop ML/RL models and infrastructure for AV simulations, optimize training loops, and support project timelines in autonomous vehicle tech.

As a Senior Staff Machine Learning Engineer at Affirm, you will lead complex ML system design and implementation, mentor engineers, and drive innovative ML strategies for financial services.

Lead the ML Data Enablement team to define strategy and execution for accelerating third-party and internal data onboarding, enforce data quality and SLAs, build metadata and lineage standards, and deliver scalable data infrastructure and workflows to reduce time-to-production for ML models.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

Design, develop, and review complex backend systems; translate product requirements into software designs; debug and resolve technical issues; mentor junior engineers; implement CI/CD, containerization, and model training/serving; collaborate with stakeholders and maintain best practices.

Lead strategy and implementation of AI-assisted caselaw content collection, conversion, enhancement, and global deployment; define standards, guide model development, measure performance, and drive cross-functional adoption.

Seeking a Distinguished Technologist to lead AI architecture and design for HPE's Private Cloud AI offerings, focusing on applied AI, agentic AI, and generative AI. Responsibilities include technical leadership, implementation, and mentoring engineers while optimizing AI systems for cloud-based solutions.

Lead the Machine Learning Engineering team at AKASA, focusing on improving ML capabilities, model deployment, and infrastructure development, while managing and mentoring engineers.

Design, build, and scale production ML systems (including LLMs) to automate customer support and compliance workflows. Lead technical roadmaps, write high-quality Python code, mentor engineers, ensure secure, scalable architectures, and resolve complex reliability issues.

Partner with CV researchers to productionize models, optimize training and real-time inference performance, design reusable abstractions, and collaborate with MLOps/backend teams to evolve the CV inference platform for scale and reliability.

The Talent Researcher role involves building talent maps in AI, ML, and voice technology, translating hiring signals into research plans, and delivering market intelligence to enhance recruitment processes.

The Senior Product Manager will streamline analytics workflows, manage governance, conduct user research, develop product requirements, and promote AI tools to internal users in healthcare analytics.

As a Senior AI Programmer, you will develop AI systems for interactive projects, collaborating with teams, optimizing code, and prototyping features.

The Patent Attorney will develop and execute IP strategies, manage patent prosecution, and support trademark initiatives. The role requires collaboration with technical teams and a strong foundation in patent law.

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

Lead and scale Zapier's AI/ML organization by defining strategy, delivering ML products and platforms, coaching teams, enabling product partners, and ensuring safe, reliable, cost-effective model deployment and operations.

The VP Analyst will provide insights to C-level clients on enterprise application services and AI capabilities, conduct research and analysis, and develop thought leadership content while advising clients on strategies and implementations.

The Data Science Actuary role involves building and maintaining rating systems and risk models, conducting analysis for underwriting and operations, and integrating new data sources while collaborating with multiple teams.

As a Principal Software Engineer, you will lead multi-team initiatives, influence technical strategy, and ensure the quality of complex systems, mentoring engineers and collaborating with senior leadership to align on business goals.

The role involves managing a client portfolio of Chief Data Officers, delivering insights on data strategy and analytics, mentoring clients, and fostering collaboration with internal teams to ensure client satisfaction and retention.

As a Data Scientist, you will build predictive models, develop software tools, and analyze geoscientific data to support mineral exploration and discovery.

As a Staff AI Engineer, you'll design and implement components of an AI tutoring system, conduct experiments, and create scalable systems integrating LLM capabilities, ensuring high-quality learning experiences.

As a Senior Machine Learning Engineer, you'll develop models for risk identification, collaborate cross-functionally, and deploy ML solutions, ensuring performance monitoring and continuous improvement.

As a Machine Learning Engineer, you will develop and operationalize models for content understanding and discovery, collaborating with cross-functional teams and stakeholders to solve impactful problems using machine learning.

Lead the Client Solutions team, ensuring the execution of complex transactions while driving innovation and client advocacy. Oversee operations, build client relationships, and implement strategic frameworks for growth.