Top Machine Learning Jobs in Raleigh, NC

Lead Ads Measurement strategy and execution, improving ad performance through engineering solutions and cross-functional collaboration, mentoring team members.

Research decentralized learning, design incentive mechanisms for community-driven AI, and prototype systems to enhance AI infrastructure.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.

Lead the definition and delivery of AI-driven features and solutions. Translate complex needs into clear requirements, prioritize use cases, and coordinate cross-functional teams to deliver effectively.

Lead engineering teams in developing high-performance systems for trading and model inference. Drive innovation and mentorship while ensuring operational excellence and collaboration with stakeholders.

The Senior Backend Engineer will develop and maintain backend systems, collaborate on data-driven solutions, and enhance products using machine learning.

Interns will prototype rapidly, iterate, and contribute to open-source projects at the intersection of AI and cryptography.

As a Lead AI Engineer, design and implement AI and machine learning models and pipelines to enhance healthcare outcomes and efficiency.

As an AI Engineer, you'll develop features, curate data, train models, evaluate performance, and lead technical initiatives in AI.

As a Back-End Software Engineer, you will develop AI solutions, optimize data processing pipelines, and mentor junior engineers, ensuring the system's scalability and performance.

Lead the strategy and roadmap for Data Ingestion at Attentive, enhancing data accessibility, reliability, and governance while managing cross-functional initiatives and technical partnerships.

The Data Engineer will design and maintain ETL pipelines and data storage solutions, collaborating with cross-functional teams to ensure efficient data processing and delivery.

This role involves training AI models in Energy and Power by providing feedback on outputs, problem-solving, and identifying biases in the AI's knowledge base.

As an AI Tutor, you will teach, evaluate, and red-team AI models in data science principles, focusing on statistical modeling, machine learning, and data ethics.

As a Sr. Solutions Architect III, design and deliver technical solutions, optimize architecture for performance, and collaborate with cross-functional teams while engaging with government stakeholders.

As the founding ML Engineering Manager, you'll develop and execute ML strategies, lead engineers, prototype LLM-powered features, and enhance engineering practices within a diverse team.

The Client Success Manager will manage relationships with clients, oversee program launches, ensure client goals are met, and analyze key results. They will also communicate effectively and problem-solve in a dynamic environment.

As a Machine Learning Platform Engineer, you will enhance ML infrastructure, optimize data pipelines, and support ML model performance, addressing user needs and maintaining high-quality code.

Lead the transformation of Clinical and Customer Operations at Hims & Hers by driving technology and AI strategy while managing teams, defining product vision, and ensuring alignment with business goals.

Develop and refine AI models for detecting biological threats, focusing on anomaly detection, forecasting, and collaboration with epidemiologists to ensure effective decision-making.

Lead the Site Reliability Engineering team by mentoring engineers, setting strategic directions, improving system reliability, and driving SRE principles across the organization.

Lead and manage the Site Reliability Engineering team, define strategic vision, drive SRE best practices, and ensure system performance and reliability.

The Machine Learning Engineer will develop and deploy AI/ML solutions, collaborate with data scientists and engineers, and enhance the platform experience.

The Principal Product Manager will define and execute the product roadmap for the Data and AI Platform, collaborating with engineering and sales to develop AI-powered identity security solutions.

The Senior Machine Learning Engineer will develop AI workflows, collaborate with teams on models and pipelines, conduct research, mentor junior members, and innovate solutions for healthcare.