Machine Learning Jobs in Durham, NC

Software Engineering Interns will design, build, test, and improve production enterprise SaaS software across frontend, backend, APIs, data, AI-enabled features, and platform engineering. Responsibilities include developing user interfaces and backend services, integrating databases and APIs, processing data and documents, improving performance and scalability, writing maintainable code, participating in reviews and testing, and collaborating with engineering and cross-functional teams in an Agile environment.

Leads a data science team delivering personalized digital experiences through machine learning, generative AI, recommendation systems, predictive modeling, and responsible AI practices. Owns the AI lifecycle from experimentation and model development through deployment, monitoring, governance, and optimization. Partners with product, engineering, design, executives, and business leaders to identify opportunities, shape AI strategy, and integrate scalable solutions into customer-facing platforms.

Own the vision, strategy, roadmap, P&L outlook, and full lifecycle of a zero-to-one AI-native clinical research product. Lead cross-functional engineering, design, data science, and commercial teams without direct reports. Validate customer needs, launch and scale products, embed AI/ML capabilities, drive platform connectivity, manage regulatory considerations, and deliver adoption, revenue, and clinical trial efficiency outcomes.

Leads the design and delivery of bespoke Generative AI and machine learning solutions for pharmaceutical and life sciences clients. Responsibilities include developing proofs of concept, guiding production deployment, leading multidisciplinary teams, mentoring staff, managing client engagements, presenting technical solutions to nontechnical stakeholders, and applying consulting principles to solve complex business challenges.

Own the vision, strategy, roadmap, lifecycle, and commercial outcomes for a new AI-native clinical research product. Lead cross-functional engineering, design, data science, and commercial teams without direct reports. Validate customer needs, launch and scale products, embed AI/ML capabilities, define success metrics, manage P&L trade-offs, ensure regulatory compliance, and drive platform connectivity across clinical development and operations workflows.

Develop and optimize deep learning and machine learning techniques for current and next-generation NVIDIA GPU architectures. Provide GPU-based AI solutions to key customers and collaborate with architecture, research, libraries, tools, and systems software teams to shape future computing platforms and programming models. The role emphasizes parallel programming, performance optimization, AI algorithms, and low-level computer architecture.

Lead enterprise digital platform product strategy and delivery for Labcorp. Own roadmap, prioritize features, drive AI/automation adoption, ensure regulatory compliance, sponsor cross-functional change, and build a high-performing product organization to deliver scalable, secure, user-centered digital solutions and measurable business 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.

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 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.

Leads the enterprise Workday platform and HR technology strategy, roadmap, governance, operational support, integrations, reporting, security, and continuous improvement. Oversees service delivery, release readiness, audit and SOX compliance, vendors, cross-functional programs, and platform-related risk. Partners with HR, Facilities, Finance, IT, Security, Legal, and Audit while leading a multidisciplinary team and evaluating AI opportunities. The role requires executive stakeholder management, strong Workday expertise, product leadership, and experience in complex regulated environments.

Leads enterprise risk oversight for alternative investment strategies, including hedge funds, private equity, private credit, venture capital, structured credit, real assets, digital assets, and derivatives. Builds risk frameworks, stress testing, scenario analysis, valuation controls, reporting, governance, and advanced analytics. Manages a high-performing risk team and partners with investment, finance, treasury, technology, and executive stakeholders to assess market, credit, liquidity, valuation, concentration, operational, and emerging risks.

Drive go-to-market and enterprise software sales for NVIDIA Agentic AI with Lenovo, packaging NVIDIA assets with Lenovo solutions, co-marketing and co-selling across direct and partner channels. Build technical understanding of accelerated computing and cloud-native stacks, develop ecosystem partnerships, lead three-way sales and marketing plans, and provide thought leadership at industry and customer events.

Lead and deliver complex data science and engineering projects: design data models and scalable pipelines, build and productionize statistical and ML models (Python/R), perform data integration and quality work, generate actionable insights for executive stakeholders, and provide domain leadership in Payment Integrity/FWA.

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 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.

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

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.

Lead vision, strategy, and roadmap for Open Mainframe Solutions (Zowe and related tools). Advocate customer needs to R&D, prioritize features, unblock cross-functional teams, drive GTM and adoption, measure KPIs, and maintain executive and customer relationships to ensure product success.