Top Machine Learning Jobs in Charlotte, NC

Lead architecture, development, and implementation of low-latency applications in Java, mentoring engineers, and collaborating on data-driven business initiatives in financial markets.

Lead the design, development, and deployment of AI systems, mentor engineers, and integrate AI services with enterprise platforms, focusing on LLM solutions.

Manage client needs by designing AI solutions, mentoring teams, and ensuring high standards of quality in technology delivery.

The role involves designing and developing data solutions, managing data infrastructure, and team leadership in data engineering at PwC.

Lead teams in developing advanced natural language technologies. Drive innovation, mentor leaders, set AI vision, and enhance user experiences.

The role involves leading the Product Foundations organization, driving technical strategy, mentoring teams, and managing core product systems to enhance developer productivity and customer experience.

Develop machine learning and reinforcement learning models for autonomous vehicles. Streamline integration, create ML infrastructure, and optimize training loops. Collaborate on AV technology.

The Associate Software Engineer will develop AI-powered solutions, work closely with architects and senior engineers, and participate in product feature implementation and testing.

Lead the design and implementation of simulation-based validation for autonomous systems, mentoring engineers and ensuring robust testing methodologies.

The Director of AI/ML Engineering leads the technical strategy and manages a team building AI-powered capabilities, overseeing operations, architecture, and collaboration with cross-functional teams.

As a Staff Machine Learning Engineer, you will define technical strategies, develop ML models for user fund protection, and scale solutions with teams.

As a Machine Learning Engineer, you will enhance ML productivity, design algorithms, and collaborate cross-functionally to improve credit underwriting models.

As a Senior Data Scientist, you will build models, provide mentorship, and develop techniques to optimize user experiences and drive business value.

The Engineering Manager leads the Search Relevance team, focusing on machine learning to enhance patient care delivery, ensuring high-quality software solutions and fostering a collaborative team culture.

Lead the Machine Learning team to develop computer vision models, manage datasets, and implement MLOps best practices while guiding team growth.

As a Staff Software Engineer, you will design and implement scalable systems for bidding decisions, work with ML models, and support innovation in bidding technology.

As a Distinguished Engineer, you will drive technical excellence in Upstart's Pricing team, optimizing loan offer systems using AI and ML, guiding architectural evolution, and mentoring other engineers.

Lead a team of ML engineers, optimize ML systems, collaborate cross-functionally, and ensure operational excellence while driving revenue-critical projects.

The Senior Machine Learning Engineer will develop a machine learning platform, lead best practices, manage CI/CD pipelines, and collaborate with teams to enhance AI services.

The Staff Machine Learning Engineer develops, maintains and optimizes machine learning models, integrating new technologies, monitoring performance, and collaborating with engineers to enhance decision-making systems.

As an AI Integration Engineer, you will integrate AI models into Vetcove's products, enhancing functionalities and collaborating with teams for optimal performance.

The Senior Machine Learning Engineer will develop and deploy machine learning solutions using various methodologies to enhance user experience, fraud detection, and overall system security at Coinbase.

The Solution Architect Sr is responsible for strategy and architecture, partnering with business leaders to develop technology strategies that meet business needs, oversee complex projects, and drive transformation.

Develop and design software applications, create automation tools, and implement frameworks for controls and motion planning algorithms for driverless technology.

As a Senior Machine Learning Engineer, you will Research, design, and develop machine learning algorithms for driverless technology, optimizing models and guiding technical decisions.