Top Machine Learning Jobs in Raleigh, NC

The Senior AI/ML Engineer will design and implement machine learning algorithms and systems, manage version control, and integrate AI components into WEX systems. The role requires collaboration with cross-functional teams, effective communication, and a balance of speed and regulatory needs in application development.

As a Staff Machine Learning Engineer, you will design, implement, and maintain machine learning algorithms and systems, work on integrations with AI components, and help automate CI/CD pipelines using your expertise in Python and cloud technologies.

The Senior AI/ML Engineer will design, implement, and maintain machine learning algorithms and pipelines, collaborate with the AI platform and engineering teams, manage version control with GitHub, and develop RESTful APIs. They will work in a regulated industry, advocating for team decisions and balancing speed with compliance requirements.

As a Principal Product Manager for SentinelOne's AI/ML team, you will define and execute the product vision and roadmap, prioritize features, conduct market research, and collaborate with cross-functional teams to develop AI-powered cybersecurity solutions. Your role will require managing product releases, working with sales and marketing on strategies, and continuously improving product offerings based on customer feedback and market trends.

The Product Manager at Jarvis ML will lead product development efforts, collaborating with engineers, sales, and marketing to create and enhance user experiences. The role involves understanding customer needs, defining product requirements, driving solutions to market, and employing analytics for product performance improvement.

The Principal Engineer, AI/ML will lead competencies in machine vision, NLP, and generative AI. Responsibilities include designing and fine-tuning machine learning models, deploying and monitoring models on the cloud, and ensuring scalable and robust systems and APIs.

As a Lead Machine Learning Engineer, you will oversee the design, development, and deployment of machine learning models and systems. This role includes managing data pipelines, conducting code reviews, and providing mentorship and technical leadership to enhance AI and machine learning capabilities. You will also optimize system performance and ensure adherence to development standards within a collaborative team environment.

The Machine Learning Engineer/Researcher will enhance Stellar Cyber's Open XDR platform by researching and developing machine learning algorithms for threat detection, designing data schemas, collaborating with data integration and security teams, and implementing product features while monitoring detection efficacy.