Machine Learning Jobs in Durham, NC

As Associate Director of Growth Marketing, you will identify and scale new customer acquisition channels, leveraging AI to enhance marketing operations and drive significant growth in customer acquisition and company strategy.

The Growth Marketing Lead will identify, launch, and scale innovative customer acquisition channels, applying strong marketing fundamentals and pioneering AI use in marketing operations to achieve growth targets.

The Associate Director, Growth Marketing will lead the launch and scaling of innovative customer acquisition channels, leveraging data-driven strategies and AI to drive growth. Responsibilities include strategic planning, channel experimentation, and performance analysis, collaborating with cross-functional teams to achieve high double-digit growth.

The Growth Marketing Lead will identify, launch, and scale innovative customer acquisition channels, combining marketing fundamentals with AI tools. They will analyze performance metrics, execute experiments, and influence company strategy in a fast-paced startup environment.

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

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

The role involves transforming research into products, building diverse datasets, accelerating ML workflows, and collaborating effectively across teams.

Design and build a scalable failure-attribution framework for heterogeneous CPU/GPU clusters: collect high-fidelity telemetry, implement low-overhead tracing, automate root-cause classification (hardware, software, environment), and enable proactive resiliency measures like migration or checkpointing.

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.

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.

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.