Top Machine Learning Jobs in Raleigh, NC

The Customer AI engineer develops prompts and applications for customers, ensuring content meets specific requirements by utilizing programming, linguistic skills, and collaboration with teams.

As a Customer AI Engineer, you'll develop prompts and applications, collaborate with teams to meet customer needs, and document processes while utilizing linguistic expertise.

Lead product strategies for Moloco Ads, focusing on mobile app publishers. Identify growth opportunities, manage a large engineering team, and drive product development with an analytical approach.

The Senior Applied AI Engineer will design and optimize AI models, lead experimentation and evaluation strategies, and collaborate across teams to enhance system performance.

The AI Solution Sales Specialist will drive sales of AI solutions, collaborate with teams to ensure customer adoption, and manage complex sales cycles.

As a Machine Learning Engineer, you will develop and deploy AI/ML solutions, collaborate with product managers and engineers, and improve learning experiences.

The Data Scientist will develop predictive models, analyze geophysical data, and collaborate with geoscientists to enhance exploration programs, focusing on mineral deposits.

Lead the backend engineering team for Runway's machine learning platform, focusing on building infrastructure, monitoring, and scaling production processes.

Design, implement, and maintain ML solutions using AWS SageMaker. Develop end-to-end ML pipelines and collaborate on model deployment to enhance data-driven decision-making.

Develop and optimize large-scale ML models and training pipelines for automating PCB layouts, collaborating on data pipeline design and novel architectures.

As a Senior ML Ops Engineer, you'll build ML infrastructure, implement automated deployment, optimize model serving, and ensure production performance.

As a Machine Learning Engineer, you will fine-tune transformer models, deploy machine learning solutions, and work with cross-functional teams on innovative projects.

Develop ML models and pipelines for autonomous tractor initiative, improving system safety and performance in production environments.

The Engineering Manager - Data & ML will redesign and scale Underdog's data and ML platform, establishing best practices, leading a team, and collaborating with cross-functional teams to optimize data systems.

The engineer will design and maintain auto-bidding algorithms, optimize ad delivery systems, and collaborate on engineering projects for campaign performance.

The role involves developing and scaling machine learning pipelines, collaborating with teams, and implementing reliable ML infrastructure on AWS and Kubernetes.

Design and deploy machine learning models for autonomous vehicles, focusing on data tagging, dataset curation, and model validation.

The Senior AI/ML Engineer will design and maintain scalable ML infrastructure, mentor data scientists, and ensure production readiness of AI models.

Lead the data science strategy, mentor a team of data scientists, oversee AI model deployment, and ensure measurable business impact.

The Staff Fullstack Engineer will drive technical excellence and innovation, focusing on AI-driven talent matching, mentor engineers, and collaborate across teams to shape technical strategy.

The Senior Machine Learning Engineer will design, prototype, build AI systems, evaluate ML models, and improve Vectara's AI Agents with a focus on reliability and performance.

You will lead and mentor engineers while driving the development of solutions for autonomous vehicles using Machine Learning and software engineering principles.

Design, develop, and maintain scalable backend systems for the Ads Creatives & Policy team, ensuring compliance with policies and optimizing ad creative processes.

Join Invoca's Talent Community to stay updated on job openings and to explore exciting career opportunities across various departments.

Seeking a machine learning engineer to build solutions for personalization, automated experimentation, predictive modeling, and content generation, impacting customer interactions.