Top Machine Learning Jobs in Raleigh, NC

As an AI Tutor - Python, you'll review AI-generated Python code, write solutions, and provide explanations to enhance AI model training.

Lead the Connected Data team at MaintainX, driving the roadmap for machine data connectivity from various sources, collaborating with AI/ML and engineering teams, and ensuring effective product solutions and user value realization.

HedgeServ seeks a Treasury Associate for collateral management responsibilities including margin calls and cash management in a hybrid role.

The Senior Account Executive will drive revenue growth by acquiring new clients, managing sales cycles, and maintaining customer relationships while demonstrating expertise in SaaS HR technology solutions.

The Senior Machine Learning Engineer will design, prototype, build AI systems, evaluate ML models, and improve Vectara's AI Agents with a focus on reliability and performance.

The Vice President of Engineering will lead TraceGains' technology organization, overseeing R&D teams, product roadmaps, innovation culture, and cloud technology implementation.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

The Data Scientist will develop predictive models, analyze geophysical data, and collaborate with geoscientists to enhance exploration programs, focusing on mineral deposits.

Manage and expand sales territory for AI-powered healthcare software, driving revenue growth and building strong relationships with hospital executives and decision-makers.

The Staff Fullstack Engineer will drive technical excellence and innovation, focusing on AI-driven talent matching, mentor engineers, and collaborate across teams to shape technical strategy.

Lead the data science strategy, mentor a team of data scientists, oversee AI model deployment, and ensure measurable business impact.

As a Customer AI Engineer, you'll develop prompts and applications, collaborate with teams to meet customer needs, and document processes while utilizing linguistic expertise.

The Customer AI engineer develops prompts and applications for customers, ensuring content meets specific requirements by utilizing programming, linguistic skills, and collaboration with teams.

Lead product strategies for Moloco Ads, focusing on mobile app publishers. Identify growth opportunities, manage a large engineering team, and drive product development with an analytical approach.

Seeking a machine learning engineer to build solutions for personalization, automated experimentation, predictive modeling, and content generation, impacting customer interactions.

The AI Solution Sales Specialist will drive sales of AI solutions, collaborate with teams to ensure customer adoption, and manage complex sales cycles.

The Senior Applied AI Engineer will design and optimize AI models, lead experimentation and evaluation strategies, and collaborate across teams to enhance system performance.

Responsible for designing and scaling systems for go-to-market operations, implementing low-code workflows and AI-driven processes, and ensuring efficient cross-functional collaboration.

The Senior Data Scientist will lead marketing efficiency efforts using data science techniques, enhance internal tools for experimentation, and collaborate with product and engineering teams.

Lead the development and growth of line of credit products, establish roadmaps, ensure cross-functional collaboration, and promote a culture of continuous improvement.

Lead the Notifications Relevance team, developing machine learning models for personalization and user engagement, while managing engineering efforts and team growth.

Manage closed-end fund accounting processes, ensuring timely NAV calculations, developing client relationships, and overseeing a Private Equity team. Responsible for workflow improvements and audit management.

Analyze complex challenges and enhance AI infrastructure through advanced machine learning, while mentoring engineers and developing production-grade systems.

As a Machine Learning Platform Engineer, you'll design a centralized platform for ML solutions, advocate for its adoption, manage priorities, write scalable code, debug systems, and integrate with third-party vendors.

As a Senior Machine Learning Engineer, you will design and implement advanced machine learning models and solutions, collaborate with stakeholders, mentor junior engineers, and enhance product capabilities using AI technologies.