Top Machine Learning Jobs in Charlotte, NC

As a Machine Learning Engineer Intern, you'll assist in building machine learning systems, conduct model experiments, and enhance data pipelines.

Lead the Machine Learning team, enhance product development, mentor team members, improve processes, and collaborate with stakeholders to deliver quality ML products.

In this role, you will develop AI solutions and machine learning models for federal programs, collaborating with teams to innovate in healthcare and veteran services.

Manage the Ads Retrieval team by defining technical strategies, overseeing ML model development, mentoring team members, and collaborating cross-functionally to improve ad relevance and performance.

Lead the Homefeed Retrieval team at Pinterest, managing Machine Learning engineers and driving technical direction for ML-based retrieval systems and infrastructure improvements.

As a Machine Learning Engineer, you will develop and deploy ML models, implement ML pipelines, monitor systems, mentor junior engineers, and collaborate with teams in a fast-paced environment.

Design and implement NLP-based systems to enhance user experience and improve search functionalities, mentoring teams and driving multiple ML projects.

The Senior Machine Learning Engineer will develop ML models and infrastructure for production, focusing on receipt understanding, fraud detection, and ads ranking. Responsibilities include model training, deployment, and collaboration with engineering teams to drive impactful results.

As a Machine Learning Engineer, you'll leverage proprietary data to develop ML models, enhance customer experiences, and drive innovative data-driven solutions. You'll work with an agile team to identify opportunities and conduct data engineering tasks.

The Machine Learning Engineer will develop and deploy models for NLP tasks, design data processing pipelines, and collaborate with teams to meet data needs.

As a Principal Solutions Architect, you will design data solutions, provide thought leadership, and enhance client engagement in machine learning.

As a Staff Data Scientist at Quince, you'll develop predictive models, optimize marketing strategies, and integrate data insights to enhance growth and customer engagement.

As a Research Intern at Symbl.ai, you will assist in AI/ML research, deploying machine learning techniques, and contribute to the development of the Nebula LLM.

As a Machine Learning Engineer, you will design and maintain scalable infrastructure for AI systems, collaborate on model deployment, and ensure compliance and optimization.

As an ML Engineer at Symbl.ai, you will focus on developing and optimizing large language models, ensuring real-time inference capabilities while collaborating across teams to integrate and evaluate machine learning models.

As a Machine Learning Engineer, you'll develop algorithms for search and recommendation systems, run experiments, and optimize machine learning models while taking ownership from development to deployment.

Wizard is looking for a Staff Machine Learning Engineer to develop dialog systems. Responsibilities include building training pipelines for LLMs, deploying models, and addressing customer issues. A strong background in ML and Python is preferred.