Top Machine Learning Jobs in Houston, TX

Lead product development for AI-powered customer experiences and internal platforms at Jerry.ai. Oversee AI architecture, metrics, and partnerships with engineers and OpenAI.

As a Senior Product Manager, you will lead integrations, optimize marketplace performance, maintain data accuracy, and enhance user experience in the insurance quoting process.

As Product Manager, you will lead insurance carrier integrations, optimize marketplace performance, ensure data accuracy, and improve the quoting journey for users.

As a Senior Product Manager at Jerry.ai, you will lead the quoting team, optimize marketplace performance, and manage insurance carrier integrations to enhance user experience and increase quote success rates.

The Software Engineer Intern will design and develop AI-powered agents, integrate LLMs with internal tools, and enhance workflows through automation.

The Principal Product Manager, AI will lead the AI platform strategy at Webflow, collaborating across teams to enhance product innovation and growth, and develop a unified AI strategy based on customer insights.

As an AI Integrations Staff Engineer at Vetcove, you'll integrate AI models like ChatGPT into existing products, optimize performance, and collaborate with data science teams to enhance user experience.

As a Senior Associate in Business Operations, you'll drive data-driven decisions, partner with teams for user acquisition strategies, and optimize operational efficiencies through analysis and A/B testing.

Own and scale Coinbase's notification platform and experience to grow MAU, drive engagement, and maximize LTV using ML-driven personalization, analytics, and cross-functional execution.

Design and implement the core Risk platform architecture, manage projects, mentor team members, and write high quality code for Coinbase products.

Lead the design, development, and deployment of machine learning models, collaborating with teams and mentoring engineers. Focus on scalable ML workflows.

The Principal ML Engineer at Agero will develop and productionize a Dispatch System using ML models, optimize decision-making processes, and lead a team to improve operational performance.

The Sr. Manager of Information Risk & Controls drives the risk management evolution by leading risk identification, developing frameworks, and collaborating with teams across Invesco.

The AI Engagement Manager will foster relationships with top partners, facilitate adoption of AI solutions, and analyze performance using BI tools.

Lead the product vision, strategy, and execution for Consumer Risk within Checkout at Affirm, focusing on credit decisioning, pricing, and fraud prevention while managing a team of Product Managers and collaborating with various functional teams.

The IT Manager, Data Science & AI leads a team to deliver AI solutions, overseeing project management, strategy, and compliance with governance. They foster innovation and collaboration across departments to drive business impact.

Lead the development of AI-powered customer experiences and internal AI platform, ensuring effective product strategy and collaboration with engineering teams.

Join Wasabi as an AI Engineer intern to build scalable machine learning solutions. Responsibilities include maintaining ML pipelines, model integration, and collaboration with various teams to drive AI initiatives.

The Engineering Manager will lead a team of Data Scientists and ML Engineers to build a Dispatch Optimization platform, focusing on model deployment and operational excellence.

As a Business Operations Associate, you will support data-driven decisions and business initiatives, lead experiments, and optimize operational efficiency at Jerry.ai.

Manage teams and relationships while diagnosing complex technical problems and implementing solutions. Coach junior colleagues, oversee projects from estimation to delivery, and utilize AI in client solutions.

As Principal Product Manager for the Agentic Platform, you will set the vision and strategy for AI infrastructure, drive product development, and facilitate adoption across teams.

Lead research on large language models to address healthcare challenges, collaborating with teams to enhance model performance and ensure real-world applicability.

As a Machine Learning Engineer, you will perform analysis on healthcare data, develop and deploy clinical machine learning models, and collaborate with various stakeholders.

Design, develop, and deliver machine learning models for clinical data. Collaborate with stakeholders and optimize production ML systems.