Top Machine Learning Jobs in Greensboro, NC

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

Responsible for designing and deploying large-scale machine learning systems, optimizing performance, collaborating with cross-functional teams, and ensuring safe and responsible AI practices.

The Staff Full Stack Engineer will enhance machine learning workflows at Cruise by developing UX experiences, backend integrations, and overseeing system architecture and performance metrics.

As a Machine Learning Engineer, you will perform analysis on healthcare data, develop and deploy clinical machine learning models, and collaborate with various stakeholders.

Lead the architecture and management of AI/ML infrastructure using Kubernetes and Terraform, optimizing hybrid environments for performance and scalability.

The role involves designing and building ML applications, leading teams, and collaborating on data-intensive solutions using various technologies, while ensuring optimal performance and governance of ML systems.

The Senior Manager in ML Engineering will lead design and implementation of ML applications, optimize systems, and collaborate with cross-functional teams for data solutions.

The Machine Learning Engineer will develop and deploy AI/ML models to enhance risk management systems at Coinbase, preventing fraud and improving user safety.

As a Senior Machine Learning Engineer in Risk AI/ML, you will lead model strategy and design sophisticated systems to prevent fraud while mentoring junior engineers.

The ML Research Scientist will focus on researching and implementing methodologies for explaining and evaluating fairness in ML models, ensuring compliance and trustworthiness in lending practices.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.

The Director of Strategy & Innovation at Viz.ai will drive new opportunities in healthcare by leading strategic projects, developing product concepts, and collaborating with cross-functional teams. Ideal candidates should have an MD, MBA, strong analytical and communication skills, and healthcare strategy experience.

The Senior Responsible AI Data Scientist will lead ethical AI initiatives, ensuring compliance and transparency while working cross-functionally to develop scalable AI solutions in healthcare.

The Data Scientist III will develop AI models for digital pathology, analyze data, collaborate with teams, and communicate findings. Requires a PhD and 5+ years experience.

The Engineering Program Manager will oversee project timelines, manage dependencies, ensure on-time delivery, and communicate effectively across teams to support enterprise-grade software and AI solutions.

The Director of Product Management for the Data Platform will drive the adoption and operational effectiveness of AlixPartners' data initiatives, ensuring stakeholder engagement and compliance.

The Client Partner will manage relationships with key customers, drive revenue growth, and uncover new business opportunities while ensuring effective delivery of services.

As a Research Engineer at FAR.AI, you will develop machine learning algorithms, run experiments, collaborate with researchers, and contribute to research papers.

The Research Scientist will lead and develop AI Alignment research agendas, publish findings, and contribute to best practices in AI safety research.

The Director of Data Science leads the data science team, driving innovation, managing projects, and collaborating with leadership to enhance healthcare claims processing.

The Data Science Manager will lead a multidisciplinary team in delivering data science solutions, ensuring alignment with strategic goals and managing project delivery processes.

As a Solutions Architect, you will enable and support DGX Cloud Partners, enhancing their onboarding experience while providing technical expertise and fostering customer satisfaction with NVIDIA's AI platform.

Develop and implement advanced reinforcement learning methods and distributed systems for AI agents. Collaborate with customers to understand needs and create tailored solutions.

Lead a team of Data Scientists and Analytics Engineers at Netflix to enhance game development through data science and machine learning.

Lead and mentor data science teams to develop experimentation techniques for the ads business and drive data-driven decision making at Netflix.