Top Machine Learning Jobs in Houston, TX

The Senior Crude Market Analyst enhances trading capabilities through supply and demand models, market intelligence, and machine learning applications for oil analytics.

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

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

The role involves building computer vision models, researching deep learning methods, handling large datasets, and implementing MLOps best practices.

Build and optimize machine learning models for 3D dental applications, research state-of-the-art methods, and implement MLOps best practices.

Dandy seeks a Machine Learning Engineer to develop 3D computer vision models using SOTA methods, collaborate with product teams, and implement MLOps pipelines.

Lead a team to develop Dropbox's AI product, Dash. Focus on driving product revenue, operational agility, and mentoring team members. Utilize ML techniques and data-driven insights for decision making.

The Senior Machine Learning Engineer will develop AI workflows, collaborate with teams on models and pipelines, conduct research, mentor junior members, and innovate solutions for healthcare.

Lead and manage a team of machine learning engineers to develop AI-driven tools for clinicians, ensuring project success and team growth.

The Principal Product Manager will define and execute the product roadmap for the Data and AI Platform, collaborating with engineering and sales to develop AI-powered identity security solutions.

Lead Scribd's product strategy for a new Discovery product organization, focusing on search and recommendations through advanced ML systems and user-centered design. Mentor PM teams, oversee the development of AI-driven features, and align product vision with business goals.

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

Lead the architecture and management of AI/ML infrastructure using Kubernetes and Terraform, optimizing hybrid environments for performance and scalability.

Lead MLOps team to build scalable infrastructure for 3D deep learning, drive ML roadmap execution, and collaborate cross-functionally to enhance ML pipelines.

Lead and drive AI strategy and data science solutions, providing technical leadership, guiding business partners, and overseeing complex projects.

The VP Analyst will conduct in-depth research on AI technologies in Cloud IT services, develop market insights, engage clients, and contribute to thought leadership.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.

Manage and optimize GPU capacity and compute resources, develop data models and reporting systems, collaborate across teams to improve efficiency and meet business needs.

As an Edge Compute Associate, you'll work under mentorship to develop edge computing solutions for satellites, collaborating on machine learning implementations.

Lead the Data Science & POCs team to optimize fraud analytics and decision systems, managing projects, mentoring staff, and collaborating with teams to reduce fraud losses.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

As a Staff Product Manager, you will enhance expert product experiences, driving technology solutions and AI integration to improve customer interactions and satisfaction while collaborating with various stakeholders.

Design, build, and improve ML and generative AI solutions for healthcare. Collaborate across teams, lead AI initiatives, and mentor junior members.

The Program Manager will oversee a large-scale social impact program, managing project timelines, deliverables, and collaborations with internal and external partners to drive impact and operational excellence.

Lead the strategic adoption of AI and emerging technologies, define AI roadmaps, guide implementations, and foster cross-functional collaboration to drive innovation initiatives.