Top Machine Learning Jobs in Wilmington, NC

Seeking a leader for the MLIR team at Netflix to drive machine learning innovations, collaborate with various teams, and enhance organizational capabilities.

Lead and inspire a team of Machine Learning Scientists and Data Scientists at Netflix, focusing on the ads business and media planning. Enhance partnerships, drive success through collaborative projects, and ensure high-quality outputs that align with business goals.

Lead a data science team to drive consumer acquisition strategies and improve Netflix's signup processes through analytics, experimentation, and machine learning.

As a Senior Data Scientist, you will leverage machine learning and statistical techniques to solve complex business problems and drive product innovations. You will collaborate with cross-functional teams and analyze data to help shape product strategies and decisions.

As an Associate Engineer in Data Science, you will leverage data analysis and machine learning to solve complex problems and develop inspiring digital products.

Lead machine learning strategy for Pinterest's search, focusing on indexing, query understanding, personalization, and generative approaches while mentoring junior engineers.

The Senior Risk Management Analyst will assess and mitigate risk in a merchant portfolio using financial analysis and AI technologies, enhancing underwriting decisions.

As Director of Data Science, you will lead predictive solutions and analytics for marketing, sales, and product development, mentor teams, and establish data-driven strategies aligned with business objectives.

The Data Analyst will prepare and analyze data for predictive modeling, support multiple projects, and collaborate with various teams to enhance data processes and insights.

Join Clarity AI's Talent Community by submitting an open application for various roles in product, technology, finance, marketing, or operations to drive positive impact.

Lead the Ads Measurement & Impact Science team at Netflix, focusing on building first-party measurement solutions and driving analytics initiatives to enhance ad performance and insights.

The Lead Data Scientist drives analytics initiatives, develops statistical models, mentors junior team members, and communicates insights to stakeholders.

Lead the evaluation and optimization of large-scale datasets for AI training, ensuring data quality and collaborating with research teams.

SirenOpt is looking for individuals interested in potential future opportunities. Interested candidates can submit their resumes for consideration.

The Manager of Data Quality will lead and mentor the Systems Acceleration & Data Quality team, overseeing data integrity and driving quality initiatives using AI and machine learning tools. Responsibilities include strategic partner collaboration, maintaining data quality trends, and managing vendor relations.

The Associate Global Forecasting Director will be responsible for U.S. short-term revenue forecasting, supporting European cluster forecasts, and collaborating with commercial and finance teams to provide actionable insights for decision-making.

The Machine Learning Architect will design and implement ML solutions on cloud platforms, working directly with customers to align strategies with business goals. Responsibilities include end-to-end project management, model deployment, and maintaining strong customer relationships.

The Data Analyst will handle data interrogation and preparation for predictive modeling, collaborate on projects, and create data assets for the P&C insurance market.

Lead the fraud strategy to protect customers and card portfolios, develop real-time models with Data Science, and manage fraud performance metrics. Collaborate across teams to implement effective fraud controls and optimize processes.

The Global Strategic Feasibility Analytics Lead develops feasibility data analytics initiatives, transforms data into insights, collaborates with stakeholders, and drives data-driven decision-making for study planning.

Lead ML research and development, collaborating with engineers and clinicians to create enterprise-grade products and establish a research agenda while sharing insights through publications and presentations.

As a Machine Learning Engineer, you'll develop and deploy ML models for medical imaging, collaborate with teams, and optimize for production environments.

As an ML Engineer, you will build and productionize predictive models for ad inventory and campaign performance, contributing to the growth of Netflix's ad platform.

As a Senior Data Scientist, you will develop models to extract insights from complex datasets, focusing on temporal and geospatial features, while collaborating with engineering teams to implement solutions.

Design and implement machine learning models to improve Risk and Fraud detection systems. Lead technical strategy and partner with operations to address rapidly evolving challenges.