Top Machine Learning Jobs in Houston, TX

The role involves leading AI networking projects, developing innovative solutions, and optimizing infrastructure by collaborating across teams. Requires extensive experience in AI, machine learning, and systems software development.

Lead the Agentic AI Pod to develop AI solutions for event marketers, creating strategies and innovative interaction paradigms while ensuring standard practices in AI implementation.

Lead the IRS Development program by managing IT systems and implementing technology advancements that enhance operational efficiency and compliance.

The Senior AI Engineer will build a platform enabling users to create intelligent agents, focusing on multi-agent frameworks and orchestration of LLMs.

As Program Director, you will own client relationships, mentor teams, ensure quality delivery, and manage executive communications to achieve successful project outcomes.

Lead pre-sales technical engagements for Conversational and Generative AI solutions, collaborate across teams, and design value-driven demos for enterprise customers.

Lead the design and development of localization and mapping algorithms for humanoid robots, ensuring effective navigation and motion planning. Collaborate across teams to align perception capabilities with product requirements.

Lead a small engineering team in developing and deploying core product functionality, ensuring high quality and security standards. Collaborate with cross-functional partners while managing and scaling the team effectively.

Lead a team of ML engineers to develop advanced personalization systems, ensuring technical excellence, system reliability, and effective project delivery while mentoring engineers.

The Senior Manager, Solutions Architect designs cloud contact center solutions integrating Amazon Connect and Local Measure, leads technical pre-sales engagements, and collaborates with sales teams to propose solutions.

The Associate Principal leads Data & AI business development, managing client relationships and driving market strategies to exceed client expectations.

The Principal Partner Marketing Manager will lead strategic co-marketing initiatives, develop joint marketing plans, execute integrated campaigns, enable field teams, and collaborate cross-functionally to drive awareness, demand, and revenue growth through partnership with Microsoft.

Analyze content performance, influence product roadmap, manage content strategies, classify data, and collaborate with engineering on AI and ML initiatives.

Lead the Attack Detection team at Abnormal AI, focusing on developing high-recall machine learning detection engines and automating model retraining pipelines.

The Staff Machine Learning Engineer will architect and implement advanced ML solutions, lead ML applications in Messaging and Notification, and mentor engineers within Airbnb's AI innovations.

The engineer will train, evaluate, and deploy ML models for understanding driving environments, focusing on motion prediction and planning for autonomous vehicles.

Responsible for training and deploying ML models for scene understanding, behavior prediction, and planning in autonomous vehicles. Collaborate on designing and analyzing experiments, maintaining evaluation code, and improving model performance.

The Sr. Emerging Technology Engineer develops AI models and cognitive solutions, collaborates with teams, researches technologies, and manages the AI lifecycle to improve consumer experiences.

The role involves designing and implementing scalable ML-based solutions, analyzing data patterns, and producing reports while staying updated on AI advancements.

As a Principal Engineer on the Behaviors team, you will guide the technology direction, lead complex initiatives, and mentor engineers to enhance autonomous vehicle capabilities through ML solutions.

The Senior Product Manager will lead AI integration into products, collaborating cross-functionally to enhance user experiences, driving innovation and measurable impact for financial advisors.

The role involves driving data governance strategy and practices across the Bank, collaborating with cross-functional teams, leading data quality initiatives, and mentoring analysts while ensuring compliance with data governance standards and improving data quality.

As a Machine Learning Engineer in the Risk AI/ML team, you will design and deploy sophisticated AI/ML models to prevent fraud and improve risk detection processed while leading technical strategies and mentoring team members.

As a Machine Learning Platform Engineer, you'll enhance ML inference infrastructure, optimize data pipelines, and build tools for model performance monitoring.

The Senior Machine Learning Platform Engineer will mentor junior engineers, optimize ML inference infrastructure, and build tools for data quality in high-performance distributed training jobs.