Top Senior Machine Learning Jobs in Raleigh, NC

Lead deployment, configuration, optimization, and operational support of CrowdStrike Falcon AI/ML detection and response capabilities. Tune ML models, build automation playbooks, develop scripts using Falcon APIs, integrate AI features with customer toolchains, support incident response and threat hunting, deliver customer workshops, and mentor team members. Travel up to 25%.

Partner with healthcare clients to design, prototype, and deploy production-grade AI/LLM solutions. Lead discovery, architecture, cloud integration, and delivery while troubleshooting distributed systems and driving measurable client outcomes.

Own Secret Detection and Vulnerability Research as a product: define strategy across prevention, detection, validation, revocation, and reporting; ship detection content and intelligence with measurable quality; drive adoption, retention, and revenue; partner with engineering, research, and Field; use AI to accelerate research and productization.

Lead teams building computer vision and machine learning for AI dash cameras, managing model lifecycle, coordinating with cross-functional teams, and driving AI product development.

Lead design, build, and deploy scalable, reliable Java-based microservices in a cloud-native, event-driven AWS environment. Own backend feature design, code quality, automated testing, and FedRAMP release processes. Mentor engineers, participate in on-call/TechOps, integrate AI tools into development, and drive architecture, observability, and cross-team initiatives.

As a Customer Success Engineer, you'll drive adoption and satisfaction for enterprise customers using Deepgram's voice AI technology, fostering strong relationships and aligning technical solutions with business objectives.

Lead and manage the underwriting and credit risk model validation team, perform hands-on independent validations of complex ML models, assess data integrity and performance, identify and remediate model weaknesses, partner on MRM framework improvements, and coordinate with audit, compliance, and controls to meet regulatory standards.

Lead the development of machine learning systems for Cedar Pay's Personalization Engine, manage ML engineers, and ensure ML model effectiveness.

The Staff Machine Learning Engineer will lead ML initiatives, develop ML systems, collaborate with cross-functional teams, and mentor junior engineers to optimize healthcare intake workflows using advanced machine learning techniques.

Lead and transform the Fraud Intelligence Team by designing scalable operating models, QA and measurement frameworks, and talent programs. Drive labeling quality, operational metrics, and fraud prevention impact; convert frontline fraud observations into insights for Product, R&D, Analytics, and GTM; leverage AI, automation, and tooling; and serve as a cross-functional fraud subject-matter expert while developing early-career talent and measurable business outcomes.

Lead MarTech strategy and hands-on execution for AI-driven, real-time 1:1 personalization. Evolve and evaluate MarTech stack, integrate AI/ML decisioning, build real-time journeys in Adobe Experience Platform, define XDM schemas and identity resolution, monitor dataflow health, lead Agile delivery pods, translate strategy to technical requirements, and create executive-level measurement and governance frameworks.

Lead product strategy, requirements, and roadmap development for Honeywell Forge cloud applications serving utilities. Own AI and analytics capabilities for grid operations, DER management, rate design, and utility programs. Conduct customer and market discovery, competitive analysis, and voice-of-customer research. Partner with solution architects, sales, customers, and engineering to prioritize and deliver B2B SaaS products that generate measurable utility operational value.

Leads managed services onboarding, client experience, support model optimization, KPI development, business reviews, value communication, and churn-risk initiatives. Oversees IT support tools, SOPs, SLAs, runbooks, root-cause analysis, and AI-enabled service improvements. Builds client relationships, supports business development, mentors junior staff, manages concurrent projects, and maintains 1,700 annual billable hours.

Senior-level engineer delivering analytics and ML-Ops solutions for healthcare payers. Design and implement analytics platforms on Databricks, develop CI/CD and provisioning patterns, collaborate with data scientists, mentor juniors, and build client relationships to drive actionable insights and operational improvements.

Lead design, experimentation, and validation of agentic AI capabilities for legal products using ML, NLP, LLMs, RAG, and hybrid retrieval. Define agentic workflows, retrieval strategies, evaluation metrics, and benchmarking. Analyze large legal datasets, translate results into product recommendations, collaborate with product/engineering/legal experts, and mentor the data science team.

Lead design and implementation of Headway's insurance systems (eligibility, pricing, matching, claims). Build data-intensive, ML-powered platforms and automation, mentor engineers, write high-impact code, and improve accuracy and reliability across state and payer complexity to scale insurance-covered therapy.

Design, build, and support high-throughput, low-latency LLM inference and data pipelines; collaborate with data scientists to post-train and evaluate models; implement scalable, production-ready systems with strong testing, monitoring, and performance focus; mentor engineers and iterate on architecture, reliability, and user-facing AI applications.

Lead a team of ML engineers to develop fraud detection models, defining strategies, driving model evolution, and ensuring effective integration with cross-functional teams.

Leads computational agronomy workstreams from problem definition through implementation, adoption, and value realization. Develops and validates agronomic models, designs multi-location field studies, establishes scientific and reproducibility standards, evaluates AI and statistical methods, and translates complex findings into practical recommendations. Coordinates multidisciplinary contributors, mentors technical staff, reviews models and code, manages stakeholders, and advances crop, pest, disease, soil, and crop-protection decision support.

Lead architecture and specification of high-performance AI accelerators. Build functional and analytical models, collaborate with hardware and software teams, and guide design, verification, emulation, firmware, and kernel teams through end-to-end silicon development to optimize performance, power, cost, and time-to-market for cloud-scale AI workloads.

Leads Cisco’s senior product marketing team and global go-to-market strategy for secure networking and AI solutions. Partners with product, engineering, sales, and executive leaders to define positioning, messaging, market narratives, field enablement, and major market initiatives. Drives customer outcomes, pipeline, bookings, adoption, competitive performance, and market creation while managing managers and building a high-performing global team.

As Director of Product, you will define and drive Kobie's data platform strategy to enhance marketing and loyalty programs, focus on AI integration, and develop commercial models.

Lead enterprise platform sales by partnering with C- and VP-level executives to drive adoption of Aera's decision intelligence platform. Own pipeline, develop account strategies, close large strategic deals, expand usage within clients, and collaborate cross-functionally to meet ACV and revenue targets. Act as a trusted advisor and subject-matter expert in clients' industries.

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.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.