Machine Learning Jobs in Durham, NC

The Senior Software Engineer will design and develop software for BioDevices, integrating hardware controls, troubleshooting, mentoring team members, and ensuring high-quality solutions.

Lead product development for Jerry's marketplace growth and automation, enhance integrations with carriers, and leverage AI for improvements.

The Senior Product Manager will lead product development for marketplace growth and automation, focusing on quoting systems and carrier integrations, while partnering across engineering and operations to enhance performance and user experience.

Seeking a Distinguished Technologist to lead AI architecture and design for HPE's Private Cloud AI offerings, focusing on applied AI, agentic AI, and generative AI. Responsibilities include technical leadership, implementation, and mentoring engineers while optimizing AI systems for cloud-based solutions.

The Associate Director, Growth Marketing will lead customer acquisition strategies, optimize Google advertising channels, analyze performance, and potentially build a team as the company scales.

The Associate Principal leads Data & AI business development, managing client relationships and driving market strategies to exceed client expectations.

Lead TELUS Digital's Google CES initiatives, managing team performance, delivering AI-powered customer engagement solutions, and ensuring client satisfaction while driving innovation.

The Manager of Decision Science will lead analytics efforts to enhance digital marketing, focusing on SEO and content metrics, utilizing statistical models and tools to drive business growth.

The Product Manager leads product development for mainframe software, focusing on customer needs, engagement, and cross-functional collaboration to ensure market success.

Senior leader responsible for designing and operating Fidelity's global sanctions program, ensuring OFAC and parallel-regime compliance, driving strategy, governance, technology-enabled screening and analytics, regulatory engagement, and leading a global sanctions team to mitigate enterprise sanctions risk.

The Sr Account Executive drives account penetration and growth within key global accounts in the pharmaceutical sector by building senior relationships and executing strategic initiatives.

Lead the Real-World Data strategy across therapeutic areas, oversee RWD offerings, drive innovation, and build a high-performing team while ensuring regulatory compliance and operational excellence.

Lead an R&D ML team to develop and deploy AI/ML solutions for semiconductor manufacturing. Guide cross-functional research, mentor engineers in computer vision, physics-informed ML, and reinforcement learning, and apply materials science expertise to advance product development.

Design and implement advanced performance monitoring and analytics solutions for VMware Cloud Foundation; utilize ML and AI for predictive models, and troubleshoot performance issues.

Design and implement developer tooling to debug, profile, and analyze next‑gen graphics and neural-rendering workloads. Collaborate with research and architecture teams, write high-performance C/C++ code, perform design and peer reviews, document requirements, and work with QA to validate features.

As Growth Marketing Lead, you'll drive scalable customer acquisition through optimizing paid marketing channels, beginning with Google, and potentially transition into leadership as strategies scale.

The Senior Director of Marketing Technology leads the marketing technology and data strategy, focusing on AI, integration, and analytics for enhanced customer engagement.

Contribute to end-to-end ML applications in finance, collaborating with investment professionals to deploy scalable AI solutions.

The Senior AI/ML Applications Engineer will develop, integrate, and support AI-driven tools for IC design and verification, focusing on agentic AI methods to enhance productivity.

As a Founding Member of Technical Staff, develop and deploy AI systems, lead ML design and workflows, and ensure business impact through scalable AI solutions.

Lead design and build scalable data ingestion and feature pipelines for foundation models; implement data quality monitoring; model and integrate new data sources; run experiments measuring data impact; optimize ML training and hyperparameters; collaborate with ML, platform, and infra teams; lead technical initiatives and mentor team members.