Top Machine Learning Jobs in Greensboro, NC

Lead the strategy and delivery of an AI-native platform, overseeing design and development of internal tools and systems for compliance and risk management.

Lead the strategy and delivery of an AI-native platform, overseeing internal tools and compliance programs for Circle.

Lead architectural strategy and technical vision for Affirm's Purchasing, Credit Underwriting, and Machine Learning infrastructure domains, mentoring senior engineers and guiding cross-functional teams.

The Principal Product Manager will lead the development of an AI-native platform, overseeing design, strategy, and cross-functional coordination for compliance and operational tools within Circle.

Lead the strategy and delivery of an AI-native platform, transforming internal tools into a unified system while collaborating with cross-functional teams.

The Principal Product Manager will lead the strategy and delivery of an AI-native platform, connecting internal tools and compliance systems at Circle, ensuring regulatory performance while fostering innovation.

Lead the strategy and delivery of an AI-native platform, overseeing design and development of internal tools, compliance programs, and partnership with vendors.

Lead the strategy and delivery of an AI-native platform, transforming Circle's internal tools and compliance systems while collaborating cross-functionally.

As a Senior Software Engineer on the Data Platform team, you'll design and operate data services, maintain scalable ingestion pipelines, and collaborate on data governance, ensuring reliability and performance of critical data systems.

As a Senior Software Engineer, you will develop and maintain data platform services, ingestion pipelines, and collaborate across teams to ensure data reliability and quality.

You will own and evolve the core Data/ML platform, build data pipelines, monitor data flows, and collaborate with various teams to deliver solutions.

As a Senior Software Engineer in the Data Platform team, you will design and maintain data systems, implement pipelines, ensure data quality, and collaborate across teams to enhance data governance and platform operations.

The Graduate Intern will analyze healthcare claims data to identify fraud, assist in developing analytical strategies, and present findings to stakeholders.

The AI Consultant supports AI implementation, collaborates with teams, conducts assessments, manages projects, and drives change management for AI strategies.

Lead the design and development of personalization models, applying advanced AI/ML methods to enhance member experiences and collaborating with cross-functional teams.

Develop and optimize machine learning models for data extraction from tax documents, collaborate on software integration, and mentor junior team members.

Lead technical direction on projects, mentor engineering teams, and build scheduling tools and forecasting interfaces for support agents. Collaborate with product and design teams to convert vague problems into technical solutions.

Lead a team to develop Dropbox's AI product, Dash. Focus on driving product revenue, operational agility, and mentoring team members. Utilize ML techniques and data-driven insights for decision making.

As a Staff Applied Machine Learning Engineer, you'll design and implement LLM applications, integrating ML features to enhance user experiences and scalable services.

The Director of Lifecycle Marketing Operations will lead a team to enhance customer acquisition and retention strategies using AI analytics and automation.

Research Scientist at Upstart will develop machine learning models to enhance borrower risk predictions, design prototypes, and collaborate with cross-functional teams while mentoring junior members.

As a Senior Business Analyst on the AI/ML team at Velocity Black, you will analyze data, support model governance, and collaborate with cross-functional teams to enhance product offerings through AI and ML tools.

The role involves managing AI/ML products at Velocity Black, collaborating with stakeholders, optimizing concierge services, and driving innovation. Candidates should have experience in product management and a passion for AI/ML technologies.

Lead a team of ML and DevOps engineers to build infrastructure for the ML ecosystem, including tools for experimentation and deployment. Manage a distributed team while enhancing capabilities in ML system operation and analytics production.

Develop ML/RL models and infrastructure for AV simulations, optimize training loops, and support project timelines in autonomous vehicle tech.