Top Senior Machine Learning Jobs in Charleston, SC

The Senior Product Manager will advance fraud detection capabilities, manage product lifecycles, develop requirements, and collaborate with engineering and data science teams.

The Senior Principal Product Manager will define the product strategy for ExtraHop's RevealX platform, focusing on enhancing SOC workflows and leading cross-functional execution while mentoring peers and aligning product vision with business goals.

Own and close enterprise customer deals, develop expansion opportunities, educate customers on AI architectures, engage with multiple stakeholders, and collaborate with product and engineering teams.

The Product Manager Insurer Experience will enhance the Insurer experience on the AI Risk Exchange platform by identifying opportunities, collaborating with teams, and delivering high-impact solutions that drive value for third-party insurers.

The Enterprise Account Executive will drive the sales of Sift's fraud solutions to Fortune 1000 companies, engaging with key stakeholders and building custom strategies to address fraud challenges through value-based selling and collaboration.

Develop and optimize machine learning models for data extraction from tax documents, collaborate on software integration, and mentor junior team members.

Lead product strategy for AI-driven security operations, defining the vision and roadmap for agentic workflows, collaborating with teams, and measuring success metrics.

The Senior Treasury Analyst will enhance Voleon's cash returns, manage liquidity, and support treasury initiatives, collaborating with finance and technical teams to drive operations and growth.

Lead the development and implementation of machine learning solutions, managing a team to drive strategic decisions and innovative business outcomes.

The Sales Engineer will serve as a technical lead, guiding clients on advanced data integration and analytics solutions in healthcare, impacting revenue and client engagement.

The role involves handling complex technical support cases, acting as a senior escalation point, managing bugs, mentoring peers, and improving support quality.

As a Senior Fullstack Engineer, you'll architect and build a high-concurrency auction engine, leveraging AI for enhanced user experiences and system reliability.

As a Staff Product Manager for Ads Optimization, you will define strategies for campaign performance, collaborate with engineering and data teams, and present insights to leadership, focusing on optimization and automation.

Lead data-driven marketing analytics for subscriber performance and revenue optimization, providing insights and forecasting while managing a team of analytics professionals.

Seeking a Senior Data Scientist to develop AI/ML models for predictive maintenance and logistics forecasting, ensuring alignment with mission objectives and collaborating within Agile teams.

The Senior ML Engineer will architect ML infrastructure, deploy models, manage data, ensure MLOps practices, and collaborate on data projects with diverse teams.

The Senior Applied AI/ML Scientist will lead the design and deployment of AI solutions, collaborate on impactful features, and enhance product capabilities by leveraging advanced AI and ML techniques.

The Machine Learning Engineer develops production ML algorithms and recommendation systems, collaborates with teams, and optimizes user experiences.

The Technical Program Manager will lead initiatives in Netflix's Cloud Infrastructure and AI Platform, focusing on scalability, reliability, and collaboration with engineering teams to execute impactful technical programs.

The Sr. Director of Revenue Enablement drives strategic sales transformation, develops enablement programs, integrates AI tools, and leads a team to improve sales outcomes.

The Director of Sales will lead enterprise infrastructure sales in healthcare, nurturing high-value prospects, and achieving revenue targets through strategic partnerships.

The Senior Product Marketing Manager will develop positioning and messaging for Cresta's Travel & Hospitality sector, leadership in market conversation, and go-to-market strategies to drive revenue growth.

Manage product strategies and development for AI/ML SaaS products, oversee full product lifecycle, collaborate with engineering, and implement complex pricing strategies.

Lead and manage a team developing ML models for self-driving vehicles, define motion planning projects, and collaborate with cross-functional teams to enhance performance.

Lead the development of advanced perception algorithms for self-driving vehicles. Collaborate and mentor engineers, optimize algorithms, and implement sensor fusion for robust perception systems.