Machine Learning Jobs in Durham, NC

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.

Research and develop machine learning, computer vision, and multi-modal image/video exploitation algorithms. Prototype in MATLAB/Python, implement/optimize real-time code in C++/CUDA, perform data analysis, support system integration, demonstrations, and technology transition for DoW/IC customers. Contribute to reports, publications, and proposal technical content.

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.

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

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 Senior Product Manager will lead mainframe foundational products, collaborating with teams to develop the product vision, roadmap, and feature prioritization, while ensuring customer adoption and satisfaction.

The Senior Product Owner leads product development for Mainframe solutions at Broadcom, collaborating with cross-functional teams to deliver features based on customer needs and product roadmaps.

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

Lead the development of AI-powered applications, mentoring engineers, architecting scalable systems, and driving innovation in healthcare technology.

The S&OE Process Manager oversees Clorox's S&OE process improvements in the IBP teams, providing training and technical solutions while monitoring performance and enhancing methodologies.

Lead architecture and delivery of end-to-end AI/ML solutions for a MediaOS platform: personalization, recommendation, targeting, forecasting, scalable ML pipelines, cloud-native distributed systems, MLOps, secure AI, and mentorship of engineers and data scientists.

The role involves developing and integrating ML/AI solutions in agricultural biotechnology, mentoring teams, and promoting data-driven practices.

Architect, build, and scale high-performance ML platform infrastructure using IaC (Ansible, Terraform). Apply SRE practices to ensure reliability across multi-cloud and on-prem GPU clusters, develop automation and orchestration tooling, operate Kubernetes/Docker workloads, participate in on-call rotation, and collaborate with researchers to support end-to-end ML workflows.

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.

The role involves designing and automating MLOps systems, maintaining ML training pipelines, deploying models, and optimizing infrastructure for machine learning experimentation.