Top Senior Machine Learning Jobs in Raleigh, NC

Lead the Attack Detection team at Abnormal AI, focusing on developing high-recall machine learning detection engines and automating model retraining pipelines.

As a Principal Engineer on the Behaviors team, you will guide the technology direction, lead complex initiatives, and mentor engineers to enhance autonomous vehicle capabilities through ML solutions.

The Senior Product Manager will lead AI integration into products, collaborating cross-functionally to enhance user experiences, driving innovation and measurable impact for financial advisors.

As a Sr. Machine Learning Engineer, you'll develop ML solutions for healthcare, manage data pipelines, write production-ready software, and own ML services end-to-end.

This role involves identifying partnership opportunities within the AI ecosystem, developing strategies, negotiating agreements, and measuring pilot success metrics. You will work closely with product and engineering teams to align partnerships with growth priorities.

Drive solution discovery and design of AI solutions, support sales proposals, deliver demonstrations, and enhance customer relationships at Five9.

Lead and mentor a team to develop advanced user understanding models, collaborating cross-functionally to integrate insights into products and drive measurable impact.

The Principal Architect will lead the architectural direction of the AI-powered security platform, ensuring scalability and integration of advanced technologies, while mentoring engineering teams and enhancing technical standards.

The Senior Staff Machine Learning Engineer will lead system development for personalization and ranking, mentor engineers, and influence technical direction within large-scale systems.

This role involves managing strategic partnerships to drive growth, collaborating across teams, and developing new initiatives for business impact.

Lead training, evaluation, and deployment of ML models for scene understanding and behavior prediction in autonomous vehicles.

You will train, evaluate, and deploy ML models for scene understanding and behavior prediction in autonomous vehicles, while collaborating with engineers.

The role involves managing a team of Solutions Architects, driving customer success in Data + AI, and coordinating with the sales team to increase revenue.

The Senior Product Manager will lead the development of medication prescribing capabilities, utilizing AI and machine learning to enhance member experiences and drive health engagement.

As Director of OEM Integrations, you will lead integration strategies, manage teams, enhance processes, and ensure alignment with business goals.

Develop and maintain cutting-edge LLM projects, lead NLP models, own ML systems, and enhance user experiences on Poe platform.

Lead machine learning projects from conception to production, enhance ranking systems, mentor team members, and implement high-performance distributed systems.

Seeking a Senior Full Stack .NET Developer to work on a social good project, with strong skills in C#, AngularJS, design, and UX. Requires 5+ years of experience.

Lead AI engineering initiatives to develop and implement innovative AI/ML solutions while enhancing software development processes across Owlet's products.

As a Principal Product Designer & Product Manager, you will drive product creation, merging strategy and design while integrating AI tools to enhance workflows. You will lead user research, design processes, and cross-functional collaborations to meet business goals and improve user experiences.

The Product Tax Lead will manage tax requirements in product lifecycles, ensuring compliance and collaboration between Tax, Product, and Engineering teams.

Lead product strategy for core distribution products, manage product managers, drive user engagement, and collaborate across teams to optimize product-market fit.

The Senior Machine Learning Engineer will develop, deploy, and optimize machine learning applications, collaborating with cross-functional teams to enhance AI services.

Lead the full-cycle recruitment for the Machine Learning team, develop sourcing strategies, and improve hiring processes while ensuring a positive candidate experience.

The role involves designing and developing machine learning infrastructure and models, consulting on best practices, and building scalable services for AI integration.