Top Machine Learning Jobs in Charlotte, NC

The Lead Information Security Engineer enhances security capabilities using OOP and AI. Responsibilities include designing complex security solutions, troubleshooting vulnerabilities, and leading a team in secure software development.

Lead Information Security Engineer responsible for enhancing security capabilities, developing secure tools, and resolving complex cybersecurity vulnerabilities, requiring strong programming skills and leadership.

Lead the design and implementation of advanced security solutions, collaborating with teams to enhance security capabilities and resolve complex vulnerabilities.

The role involves designing complex security solutions, collaborating on security measures, developing secure automation tools, and modeling security data relationships using GraphDB.

Lead and grow a team of engineers to build innovative software and hardware solutions, driving strategic vision and leveraging AI technologies.

As an AI Integration Engineer, you will integrate AI models into products, collaborate with data science teams, and enhance user experience.

The Engineering Manager, Applied AI will lead and mentor a team focused on generative AI products, oversee project development, and collaborate with cross-functional teams to drive software development best practices.

Lead and scale the AI Center of Excellence, developing innovative AI solutions for cybersecurity, collaborating across functions, and managing a global team.

As a Senior Software Engineer at Samsara, you'll architect and build innovative software products, tackle complex problems, collaborate across teams, and engage directly with customers to deliver impactful solutions.

Develop and maintain machine learning models for production systems, optimize ML pipelines, and ensure efficient data processing and model performance monitoring.

Manage client needs in building and documenting AI/GenAI solutions, mentoring team members, and enhancing business process efficiency.

This role focuses on enhancing data for autonomous vehicle models using multi-modality ML techniques, software engineering, and data quality evaluation.

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.

Lead and manage the Sponsored Results team, focusing on improving bidding strategies and ad performance, scaling solutions, and mentoring engineers.

Manage customer accounts for Anduril's defense technology, overseeing deployment of products, nurturing client relationships, and collaborating with teams to meet operational needs.

Lead the design and implementation of simulation-based validation strategies for autonomous systems, mentoring engineers and ensuring performance metrics are met.

The role involves deploying machine learning models for autonomous vehicles, developing software for ML runtimes, and collaborating with AI teams.

The Senior Machine Learning Engineer will build and scale AI platforms while collaborating across disciplines to create effective agents, leading technical direction and making impactful AI applications.

Lead and manage a team to enhance search relevance through Machine Learning, collaborating across departments and delivering high-quality software solutions.

Lead software engineering initiatives in Generative AI, oversee architecture strategies, implement AI models, and ensure IT governance and standards compliance.

Lead cloud solution engineering for GCP, establishing software principles, overseeing multi-cloud services, and collaborating on cloud transformations. Manage security alignment and develop technology standards.

As a Staff Machine Learning Engineer, you'll enhance and innovate Qualtrics' ML systems, collaborating across teams to optimize AI architectures and ensure scalable solutions, while mentoring juniors.

The Senior Machine Learning Engineer will develop AI workflows, collaborate with teams on models and pipelines, conduct research, mentor junior members, and innovate solutions for healthcare.

Lead and manage a team of machine learning engineers to develop AI-driven tools for clinicians, ensuring project success and team growth.

Lead AI product initiatives on Edge devices, optimize ML models for Edge compute constraints, and develop AI solutions using petabyte-scale data.