Top Machine Learning Jobs in Houston, TX

The Lead Cybersecurity Architect develops cybersecurity solutions for financial services, drives strategies, assesses technologies, and leads technical teams while ensuring compliance and risk management.

The Customer Success Engineer at Deepgram will engage with enterprise customers, offering technical expertise and driving adoption of AI solutions while identifying opportunities for growth.

Lead a team of Computer Vision and Machine Learning Engineers, driving the development of models for 3D dental platforms and implementing best MLOps practices.

Lead the Machine Learning Platform team at Coinbase. Responsibilities include managing engineers, collaborating on roadmaps, coaching, and ensuring high system availability.

The Senior Software Engineer will develop AI-driven data pipelines, scalable applications, and web apps to enhance vehicle engineering and customer experience, collaborating cross-functionally and ensuring software quality and compliance with standards.

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

As a Research Scientist, you will develop and deploy ML models, enhance valuation systems, and collaborate on data integration for improved decision-making.

The Senior Data Scientist will optimize product performance through data analysis, collaborate with teams to provide insights, and support product initiatives.

Lead AI and linguistics teams to develop advanced language technologies, driving innovation and defining the vision for multilingual writing tools.

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

The Senior Staff Software Engineer will drive infrastructure improvements and build systems to enhance user experience and growth at Coinbase.

As a Machine Learning Engineer, you'll enhance ML productivity, improve model deployment, and implement algorithms for credit decisioning systems.

The Senior Principal AI Scientist leads AI initiatives, leveraging deep machine learning expertise, collaborating with teams, and driving innovation in Experience Management at Qualtrics.

Lead and manage an engineering team to enhance the Sponsored Results platform, focusing on machine learning and full-stack solutions to drive revenue growth and improve client interactions.

Lead AI initiatives at GM, developing comprehensive strategies aligned with business objectives and promoting best practices in a cross-functional environment.

As a Senior Product Manager for Fleet Operations at Samsara, you will develop tools to optimize asset usage, enhance safety, and manage critical incidents by collaborating with engineering and cross-functional teams.

Lead and mentor Detection Engineers to enhance detection library, improve SOC capabilities, and ensure operational stability.

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

As an Experienced Software Engineer, you will design and develop scalable systems using Java or Python, contributing to software improvements and system architecture.

Lead a team of Data Scientists and Machine Learning Engineers to develop ML models, drive product strategy and enhance data infrastructure.

Lead the collection and analysis of cyber threat intelligence, focusing on the cybercriminal underground. Collaborate with stakeholders to drive projects, employing secure operational methods.

The Senior Product Manager will develop risk management strategies, build scalable solutions, manage product roadmaps, and ensure compliance with financial regulations, while leading cross-functional teams.

As a Staff Machine Learning Engineer, you'll define technical strategies, design ML models, implement real-time ML pipelines, and deploy systems at scale to enhance Coinbase's operations and user protection.

Lead the strategy and delivery of an AI-native platform, transforming internal tools into a unified system while collaborating with cross-functional teams.

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