Top Machine Learning Jobs in Raleigh, NC

As a Senior ML Ops Engineer, you'll automate, monitor, and scale machine learning workloads, manage infrastructure, and collaborate with teams to productionize AI services.

As a Senior Machine Learning Engineer, you will design, build, and deploy ML systems at scale, collaborating closely with teams to optimize ticket pricing, demand forecasting, and fraud detection while maintaining high standards in software development.

The ML Workflow Engineer will design and develop diffusion-based image-generation pipelines, integrate tools, collaborate with artists, and optimize performance while contributing to the community.

Lead the architecture and development of AI and ML features, design evaluation frameworks, and mentor team members to enhance ML-driven product experiences.

As a Machine Learning Engineer, you'll develop and deploy ML models for medical imaging, collaborate with teams, and optimize for production environments.

Lead the development and implementation of machine learning solutions for the insurance industry, mentoring junior developers and optimizing AI/ML workflows.

Seeking a build engineer with strong software engineering skills to manage CI/CD systems and establish best practices for large-scale monorepos for ML applications.

Build a next-generation ML data and feature infrastructure platform to enhance the productivity of ML practitioners and improve feature accessibility.

Design and develop scalable solutions for machine learning algorithms, collaborating with researchers and engineers to enhance Netflix's personalization systems.

Join Netflix's Algorithms team as a Machine Learning Software Engineer to design and develop solutions for personalization systems. Collaborate on scalable machine learning algorithms and enhance software engineering practices.

The Growth ML & Experimentation Engineer will design adaptive growth systems for an AI employee, implement automated experimentation, and optimize performance through data-driven methods.

As an ML Engineer, you will build and productionize predictive models for ad inventory and campaign performance, contributing to the growth of Netflix's ad platform.

Develop and deploy machine learning models for real-time ad systems, optimizing inventory management, targeting, and campaign effectiveness for Netflix's advertising platform.

Responsible for building scalable microservices and data pipelines, mentoring junior engineers, and ensuring data quality for ML training.

Collaborate with research engineers to build infrastructure for ML operations and automate model training for computer vision applications.

Lead and grow a global engineering team, drive technical strategy, and deliver value through innovative solutions while fostering a culture of growth and collaboration.

Lead the strategic direction for generative AI in advertising at Netflix by designing scalable systems for creative asset generation and semantic understanding, mentoring other engineers, and integrating these systems with existing ad tech.

As an AI Research Scientist, you'll lead the development of novel algorithms for intelligent control systems in industrial applications, collaborating with AI researchers and mentoring junior engineers.

Lead the technical vision and architecture for machine learning and data systems, overseeing scalable infrastructure and collaboration across teams.

This role involves deploying and optimizing machine learning models for autonomous vehicle motion planning, ensuring performance and reliability in production settings.

The Machine Learning Researcher assesses healthcare datasets for client needs, ensuring data quality and understanding, while collaborating on data integration.

Design and implement machine learning models to enhance search relevance and improve the retrieval systems for a better customer experience.

The Senior Machine Learning Engineer will design and implement ML solutions, collaborate with teams, and contribute to scalable infrastructure enhancements.

Develop and apply deep learning models for genomics and transcriptomics, curate high-quality datasets, and collaborate in drug discovery efforts.

The Senior Machine Learning Engineer will lead ML initiatives, design scalable systems for data processing, and mentor colleagues to build robust ML infrastructure.