Top Machine Learning Jobs in Houston, TX

As a Director in Financial Risk Management, you'll lead analytics development, enforce risk limits, ensure model governance, and collaborate for strategic risk integration.

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

As a Senior Associate, Business Operations, lead data-driven decisions, partner with teams, design A/B tests, and optimize operational efficiency for growth.

The Business Operations Associate will drive data-driven decisions for business initiatives, conduct analyses, and optimize operations within the company.

As a Senior Product Manager, you will lead in transforming auto repair experiences, optimize user engagement, utilize AI technology, and manage end-to-end user journeys, ensuring high-quality user experiences and impactful product features.

The role involves leading product development for marketplace growth and automation at Jerry.ai, enhancing quoting systems, and partnering with teams to improve performance and customer experience.

The Sr Manager, Business Operations & Strategy will scale the insurance business by driving strategy, execution, and managing cross-functional teams to achieve profitability and growth in customer base.

The Head of Marketplace Automation & Growth will drive scaling operations, strategy, and execution for an insurance marketplace, enhancing user experience and carrier performance.

Responsible for bioinformatics ML/AI application development in clinical settings, designing and deploying ML/AI solutions, and collaborating with multidisciplinary teams.

The Senior Machine Learning Platform Engineer will build foundational components for ML models, mentor junior engineers, and optimize streaming pipelines. Responsibilities include enhancing ML infrastructure and ensuring data quality.

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 Machine Learning Intern, you'll prototype and evaluate ML systems, collaborate with teams, and analyze large datasets to improve user experiences.

Lead centralized Machine Learning efforts at Affirm, managing model development lifecycles, fostering AI adoption, and overseeing a team of ML professionals to enhance business outcomes.

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

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

Interns will engage in data science, engineering, and analytics roles, utilizing data to provide insights and improve decision-making processes for Chevron.

Design user-facing AI experiences for tax and accounting by simplifying complex tasks, ensuring compliance, and enhancing usability. Collaborate with teams for intuitive solutions and deliver high-quality prototypes.

The Senior Software Engineer will design, develop, and deliver enterprise-level applications, lead projects, and guide junior team members while utilizing diverse technologies to solve client challenges.

The Engineering Manager, Machine Learning will lead a team focusing on 3D deep learning and computer vision, manage the ML roadmap, and implement best practices for MLOps pipelines.

The Senior Solution Architect leads the design and implementation of Salesforce solutions, aligning technology with business goals while providing guidance to stakeholders and internal teams, ensuring compliance with architectural standards. The role includes evaluating technology trends, leading large-scale projects, and enhancing operational excellence through technology-driven strategies.

The Engagement Manager manages project execution, collaborates with technical teams on AI solutions, develops client relationships, and coaches consultants.

The Principal Product Manager will lead the Underwriting team to improve credit risk models, manage vendor relationships, and analyze portfolio performance.

The Staff Research Scientist will conduct AI research, innovate in LLM and information retrieval, and collaborate with research teams.

The intern will work with experts to extract and visualize data, document methodologies, and provide innovative insights to business challenges.

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.