Top Machine Learning Jobs in Houston, TX

The Senior Product Marketing Manager will develop strategies, create messaging frameworks, and produce marketing materials to effectively communicate Socure's value in the identity verification and fraud prevention market while collaborating with cross-functional teams.

Oversee AI application development, ensuring high standards in engineering, system design, and cross-functional integration, while mentoring engineers and leading technical innovation.

As a Machine Learning Engineer, you'll create and optimize production-ready ML solutions, manage the ML lifecycle, and conduct experiments.

The role involves exploring ideas in deep learning, managing machine learning project life cycles, and collaborating on autonomous driving technology.

The Senior AI Product Manager will lead AI solutions development, collaborate with teams, translate data into workflows, and drive product strategy and features.

The Senior Machine Learning Researcher will design experiments, research new algorithms, and collaborate on deploying models for computer vision and robotics applications.

Lead the definition and rollout of AI-powered product features, collaborating with teams to enhance fraud prevention solutions.

The Director, Strategy & Insights will enhance client performance using advanced analytics and machine learning, ensuring client satisfaction and achieving revenue goals through strategic planning and cross-functional collaboration.

As a Senior Machine Learning Engineer, you will design and implement systems for ML and NLP, optimizing models and tools for Clover's healthcare solutions.

The Director of Statistics leads statistical initiatives in phase 3b/4 and RWE studies, provides expertise in HTA and regulatory compliance, and collaborates with cross-functional teams. Responsibilities include statistical analysis plans, Bayesian methodologies, and mentoring junior staff.

The Principal Software Engineer II will build and maintain machine learning components in Elasticsearch, collaborating with teams, writing scalable code, and owning projects from design to implementation.

The Senior AI Engineer at RegScale designs and operates AI systems, ensuring reliability and performance while overseeing the data pipeline and compliance integration, alongside improving AI capabilities across the engineering organization.

Lead a team of advanced product analysts, conduct data analysis and statistical modeling, design experiments, and develop reporting tools to drive product decisions and business performance.

The Agentic AI Product Manager will lead the AI product lifecycle, collaborating across functions to launch AI solutions integrated with ServiceNow, focusing on customer outcomes and market fit.

As a Staff AI Researcher, you will develop AI solutions, work with complex data sets, redesign systems, and implement AI/ML techniques for health improvement.

As a Sales Manager at Cloudbeds, you'll identify new business opportunities, build relationships, and showcase SaaS solutions for hospitality clients, focusing on client acquisition through proactive outreach and product demonstrations.

The Regional Account Manager will manage client relationships, ensure client retention, and develop strategies to meet client needs in the healthcare industry, focusing on improving performance and securing renewals.

The Enterprise Sales Executive will own a regional territory, drive sales processes, build relationships with health plans, and close multi-year contracts for software solutions in healthcare.

As an AI Applications Engineer, you will bridge AI research and implementation, driving experiments, building infrastructure, and releasing products to improve user experience and metrics.

The Sales Development Representative will identify new business opportunities, qualify leads, and support sales strategies in the U.S. market, collaborating with sales and marketing teams to enhance lead generation and relationships.

The VP of AI will lead NeoWork's AI strategy, ensuring adoption, developing workflows, building capabilities, and enhancing client value through AI integration.

The role involves defining the vision and strategy of the Outreach AI Platform, prioritizing the roadmap, collaborating with engineering and data science teams, and engaging with customers to refine AI strategies.

Design and implement machine learning models to solve business problems, analyze data for insights, and optimize model performance.

As the Lead AI Strategist, design and deploy advanced AI/ML models to optimize revenue and mitigate medical costs, impacting financial performance directly.

Lead Reliability & Observability initiatives, collaborate with engineering and product teams, ensure robust operations of Airbnb's platform, and drive AI projects.