Top Machine Learning Jobs in Charlotte, NC

As a Staff Machine Learning Engineer, you will lead the design and development of Generative AI solutions for Firefox, focusing on building infrastructure and ensuring model performance and reliability. This role involves collaborating with cross-functional teams and mentoring junior engineers.

The Data Scientist will support data science needs by performing data mining, statistical analysis, and building predictive models for the Cybercrime and Analytics Group. Responsibilities include optimizing classifiers, data processing, anomaly detection, and assisting with IT support as needed.

As a Data Engineer at StackAdapt, you will design and implement modular and scalable real-time data pipelines, work on custom ML algorithms, and manage microservices for training and monitoring ML models in a collaborative environment.

The Head of Data will shape the data strategy at Gemini, build a high-performance data team, manage data infrastructure, optimize data warehousing, and drive data-driven initiatives across the organization. Responsibilities include overseeing data management, analytics, and collaborating with executive leadership on data integration into business strategies.

The Vice President of Data Science Research will lead the research organization focusing on innovative quantitative methods for liquid biopsy cancer screening, drive the research roadmap, and transition new concepts into product development while maintaining reproducible research standards.

As a Research Engineer at Snorkel, you will innovate and implement cutting-edge research into user experiences and establish state-of-the-art approaches for data-centric model iteration and analysis. You will prototype workflows, validate your work with design partners, and contribute to novel research alongside other scientists in the field.

The Enterprise Business Development Executive will drive new business and revenue growth for Fuel iX by maintaining a robust pipeline, developing deep customer understanding, communicating solutions, and achieving sales goals in the B2B SaaS and AI space.

The ML Engineer for Computer Vision will work with advanced techniques in artificial intelligence and computer vision to develop algorithms that enhance Entefy’s products. Responsibilities include using machine learning tools and computer vision techniques for image processing and analysis on various confidential projects.

The Head of Solutions Implementation will manage client relationships, lead project teams, drive business development, and mentor team members. This role involves strategic planning, contributing to the firm's methodologies, and enhancing client solutions through advanced data analysis and automation.

As a Staff Machine Learning Engineer at Handshake, you will lead a small team to enhance AI products and infrastructure, focusing on Generative AI and Recommendations. You will develop machine learning systems, design partnerships across teams, and drive technical direction while ensuring high-quality execution and user-centered solutions.

The Sales Development Representative will identify and solicit new customer accounts, generating leads for the Regional Sales Team. Responsibilities include managing the initial sales process for EHR solutions, conducting cold calls, achieving sales targets, and maintaining relationships with customers.

The Senior AI/ML Engineer will design and implement machine learning algorithms, maintain ML system pipelines, and integrate AI components into various applications. Collaborating with cross-functional teams, the engineer will also manage version control, implement CI/CD pipelines, and design RESTful APIs, all while working in fast-paced, regulated environments.

As a ML Solutions Engineer, you will act as a trusted advisor to customers, engaging them with product education and managing escalations while influencing product roadmaps. Your role involves gathering goals and KPIs with pre-sales engineering, demonstrating AI product value, and developing relationships with technical stakeholders.

The Principal Engineer, AI/ML will lead competencies in machine vision, NLP, and generative AI. Responsibilities include designing and fine-tuning machine learning models, deploying and monitoring models on the cloud, and ensuring scalable and robust systems and APIs.

As a Technical Program Manager at Coinbase, you will lead machine learning focused programs, ensuring strategic alignment and roadmap delivery. You'll work with cross-functional teams, manage documentation and communication, monitor program status, and address issues proactively. Additionally, you will need to communicate effectively with both technical and non-technical stakeholders.

This role involves leading the development of AI/ML technologies and platforms, designing architecture, implementing infrastructure, collaborating with various teams, managing project roadmaps, and driving the technical vision and strategy of AI/ML within the organization. Additionally, it encompasses mentoring engineering teams and ensuring continuous improvement in quality, security, and performance metrics.

phData is looking for Sr Machine Learning Engineers to design and create environments for data scientists, work within customer systems, define deployment approaches, reveal the value of data, partner with data scientists, and create operational testing strategies. Apply for future opportunities at phData even if there's no current role available.