Top Machine Learning Jobs in Raleigh, NC

As a Senior Technical Program Manager, you will lead the strategy and execution of GPU infrastructure programs, ensuring operational excellence and successful project delivery across AI and ML initiatives.

Lead a team of ML engineers and software engineers focused on Ads Content Understanding, driving innovation and efficiency in Ads Monetization.

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

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

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 Principal Product Manager will define and execute strategies for machine learning-driven search suggestions, working cross-functionally to enhance search experiences and align with business objectives.

As a Senior Applied Machine Learning Engineer at Upwork, you'll leverage advanced machine learning techniques to enhance search and recommendation systems, analyze data to improve user experience, and develop large language models.

Develop and manage large-scale, real-time ML infrastructure and data pipelines, optimize system performance, and automate ML development processes.

The ML Data Engineer will manage the entire data lifecycle for ML and CV development, evaluate ML models, and develop CI/CD for ML data pipelines.

As a ML Optimization Engineer, you will optimize and deploy CV algorithms on edge devices, ensuring performance and cost-effectiveness while collaborating with teams.

Seeking a senior product designer for AI/ML platform development, responsible for transforming user experiences, leading projects, and mentoring designers. Emphasis on design impact and collaboration with cross-functional teams.

As a Data Scientist/Machine Learning Engineer, you'll finetune models, improve data quality, add new signals, and push solutions to production.

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.

Seeking a Data Engineer to build and maintain data pipelines using GCP services, work with GA4 data, and ensure data quality for insights.

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

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 design and implement ML solutions, collaborate with teams, and contribute to scalable infrastructure enhancements.

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

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

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

The Senior AI/ML Engineer will design, deploy, and monitor NLP and AI models, collaborate with teams, and ensure performance and scalability.

Lead research and development of machine learning models, focusing on fine-tuning and optimizing solutions for business challenges. Mentor team members and collaborate with cross-functional teams.