Top Senior Machine Learning Jobs in Raleigh, NC

As a Senior Applied ML Scientist, you'll develop fraud detection models, research new fraud types, and write production code while collaborating across teams to enhance SentiLink's identity verification solutions.

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.

Lead design, build, and scale backend and frontend components for Pearl's clinical product suite. Own engineering architecture and deployments, integrate systems with ML/computer vision pipelines, use AI-assisted development tools to accelerate delivery, improve engineering velocity and quality, and mentor teammates in AI-augmented workflows.

Lead Data Science initiatives, build AI/ML solutions, and mentor teams in a collaborative environment, driving innovation in a leading construction equipment venture.

The Director of Computer Vision will lead technical vision, research, and execution in developing scalable AI-driven computer vision solutions, managing teams, and enhancing performance metrics.

The Senior Product Manager will set product direction, own the development lifecycle, collaborate with teams, and ensure high-quality outputs. This role requires strong opinions on product quality and customer insights.

Lead the Decision Science function, designing ML models, overseeing experimentation frameworks, and ensuring model adoption across the company, driving operational and commercial improvements.

Lead the strategy and execution of product marketing efforts, create compelling narratives for products, and collaborate with cross-functional teams to enhance user adoption and achieve growth objectives.

The Principal ML Engineer at Agero will develop and productionize a Dispatch System using ML models, optimize decision-making processes, and lead a team to improve operational performance.

Lead design and delivery of a unified, real-time billing platform that embeds AI/ML to automate reconciliations, detect anomalies, enable predictive insights, and create autonomous finance workflows across global billing operations.

Lead product marketing for ExtraHop's Agentic SOC, shaping category narrative, translating customer and partner insights into launches, sales enablement, content, and go-to-market programs while engaging security practitioners, product, and partners to drive adoption of AI-powered security operations.

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 and scale engineering teams building Protect, a real-time multi-signal fraud detection platform. Set technical strategy, develop managers and senior engineers, deliver distributed systems and APIs, improve architecture, observability, reliability, and developer productivity while partnering with Product, Research, Security, and exec stakeholders.

Design, build, and deploy AI-driven documentation and localization systems (TMS/CMS), improve translation memory and automation, support DITA/XML workflows, develop Python scripts for publishing, and implement generative AI/NLP solutions within a regulated life-sciences environment.

Lead technical sales strategy across full lifecycle: discovery, demos, POCs, solution architecture, BOM scoping, and executive presentations. Mentor SEs, collaborate with product and engineering to influence roadmap, provide post-sales support and training, and accurately track opportunities in SFDC to drive revenue and customer value.

As a Senior Machine Learning Engineer, you'll design and develop workflows utilizing vision-language models, manage data pipelines, and collaborate with multiple teams to enhance model accuracy and efficiency.

As a Staff Software Engineer, you will lead the development of computer vision systems for sidewalk inspection, overseeing model lifecycle, system architecture, and mentoring while improving deployment practices.

As a Principal Software Engineer, you'll architect and code backend services and ML models, integrate them with Salesforce, and mentor junior engineers.

The Staff Product Manager will define product strategy, lead the product lifecycle, collaborate across teams, and drive innovation in claims processing software.

The Director of System Safety oversees safety functions for autonomous vehicles, managing safety cases, deployment plans, and regulatory relationships while leading a multi-disciplinary safety team.

The role involves managing relationships with insurance customers, driving revenue growth, collaborating with partners, and developing strategic plans to enhance NVIDIA's enterprise presence in the financial services sector.

The Senior Technical Product Manager will lead the roadmap for Aledade's AI Data Platform, collaborating with various teams to enhance AI capabilities and improve healthcare outcomes for patients.

Lead a team of analysts to advance fraud and safety operations through analytics, ensuring robust data products and compliance while empowering stakeholders with actionable insights.

The Director of Software Engineering will lead teams in creating innovative education tech solutions, strategic planning, and optimizing software delivery processes.

Own a product area of the Content Authoring Platform end-to-end: set vision and roadmap, run continuous discovery, define and measure outcomes, partner with engineering and design to deliver features, evaluate and apply AI capabilities prudently, mentor peers, and communicate strategy and trade-offs to stakeholders.