Top Senior Machine Learning Jobs in Raleigh, NC

Lead the AI Platform team at Zapier, focusing on enabling product teams to ship AI/ML-powered features efficiently and safely.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

The Senior Data Scientist will design advanced data models, conduct analyses of large datasets, deploy machine learning models, and guide strategic decision-making within ICON plc.

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.

Design and implement developer tooling to debug, profile, and analyze next‑gen graphics and neural-rendering workloads. Collaborate with research and architecture teams, write high-performance C/C++ code, perform design and peer reviews, document requirements, and work with QA to validate features.

As a Manager of Data Science, you will lead AI and machine learning projects, mentor teams, and collaborate with cross-functional groups to align AI solutions with business goals.

The Associate Principal leads Data & AI business development, managing client relationships and driving market strategies to exceed client expectations.

Lead TELUS Digital's Google CES initiatives, managing team performance, delivering AI-powered customer engagement solutions, and ensuring client satisfaction while driving innovation.

Design and implement the core Risk platform architecture, manage projects, mentor team members, and write high quality code for Coinbase products.

The AI Engagement Manager will foster relationships with top partners, facilitate adoption of AI solutions, and analyze performance using BI tools.

Lead the product vision, strategy, and execution for Consumer Risk within Checkout at Affirm, focusing on credit decisioning, pricing, and fraud prevention while managing a team of Product Managers and collaborating with various functional teams.

The Staff Threat Researcher and Intelligence Engineer leads advanced research on cyber threats, architects scalable intelligence workflows, and mentors team members while collaborating with various stakeholders.

Lead the development of AI-powered customer experiences and internal AI platform, ensuring effective product strategy and collaboration with engineering teams.

As a Senior Product Manager for Jerry.ai, you will lead the Quoting team, optimize marketplace performance, manage carrier integrations, and ensure data accuracy for the insurance product.

As the Senior Product Manager for the Quoting team at Jerry.ai, you will drive insurance carrier integrations, optimize marketplace performance, ensure accurate data, and improve quote success rates while managing complex backend integrations with a focus on user experience.

As Senior Product Manager for Marketplace Growth, you will lead carrier integrations and optimize the quoting process to enhance customer experiences and conversion rates.

As Principal Product Manager for the Agentic Platform, you will set the vision and strategy for AI infrastructure, drive product development, and facilitate adoption across teams.

Lead research on large language models to address healthcare challenges, collaborating with teams to enhance model performance and ensure real-world applicability.

Lead development of a greenfield data product by partnering with customers and product teams to build analytics and models (simulation, Bayesian networks, optimization, ML). Maintain existing analytics, improve predictive churn models, and translate customer needs into production-grade SQL/dbt pipelines, dashboards, and data-driven product features.

As a Senior Machine Learning Engineer, you'll design and manage ML infrastructure, work with Data Science to implement models, and oversee system health and reliability.

Build and optimize machine learning models for 3D dental applications, research state-of-the-art methods, and implement MLOps best practices.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

The Senior Software Engineer will develop AI-driven automation workflows, collaborate on projects using Agile/Scrum practices, and enhance automation with AI tools.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

As a Systems Architect, you'll define and drive the infrastructure architecture for AI/ML workloads, design multi-cloud strategies, manage compute orchestration and storage systems, and lead capacity planning, while also collaborating with engineering leadership.