Machine Learning Jobs in Durham, NC

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.

Lead and deliver GenAI projects from research to production, collaborating with engineering and business partners. Design LLM-based solutions, drive multiple initiatives, mentor team members, present results to stakeholders, and realize measurable business impact.

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

Lead architecture, design, development, deployment, and support of robotics and automation applications. Define standards, select platforms, lead integrations and validations, mentor teams, manage vendors, and deliver scalable, compliant solutions that meet business needs.

Individual contributor applied GenAI engineer/data scientist leading ML projects end-to-end. Builds and productionizes LLM and ML solutions, partners with business stakeholders, identifies AI/ML use cases, manages multiple projects, and communicates results with clear visualizations to deliver measurable business impact.

Lead development and deployment of next-generation phenotyping solutions for vegetable breeding. Define strategy and technical roadmap, integrate technologies from proof-of-concept to operational use across global R&D sites, evaluate imaging/computer vision/AI methods, partner with IT on cloud-based (AWS) platforms and data pipelines, and build external technology partnerships and IP strategy.

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.

Lead advanced analytics and experimentation to improve digital customer experiences. Translate business questions into testable hypotheses, analyze structured and unstructured data (including transcripts and platform logs), build data models and visualizations, deliver insights to senior leaders, and drive measurement strategy and dashboard automation using SQL, Python, Snowflake, Tableau, Adobe Analytics and related tools in an Agile environment.

Lead technical vision and strategy for next-generation graphics developer tools. Design and prototype tooling, drive cross-team initiatives, mentor engineers, engage external developers and partners, and deliver production-ready solutions that improve graphics development, debugging, profiling, and optimization workflows.

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.

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.

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.

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.