Top Machine Learning Jobs in Houston, TX

The Product Marketing Manager will execute product launches and support go-to-market initiatives, collaborating with cross-functional teams to develop and deliver messaging and enablement materials targeting both technical and business stakeholders.

Lead data quality and data management for oncology studies, overseeing DM teams, vendor/CRO management, and compliance with CDISC/ICH-GCP. Develop risk management, integrate and surveil multi-source data, advise stakeholders on data collection and standards, produce metrics and dashboards, manage project resourcing and finances, review contracts, and deliver training to ensure high-quality, regulatory-compliant clinical and real-world data.

Lead and scale full-stack engineering teams for Yahoo Mail; define engineering vision and roadmap; drive AI-native development and AI transformation using Generative AI/LLMs and agents; partner with Product, Design, and Data Science to deliver scalable cloud-native mobile and web experiences; hire, mentor, and retain engineering talent while guiding architecture, technical reviews, and platform modernization.

Lead product vision, roadmaps, and delivery for two AI-driven platforms (vendor risk and CLM). Drive AI integration, stakeholder engagement, backlog/prioritization, compliance/security, reporting, and continuous improvement across cross-functional teams in an Agile environment.

Lead analysis and requirements for omni-channel self-service features (website, chatbot, mobile) to improve customer journeys. Partner with Digital, UX, Data, and Product teams to define user stories, acceptance criteria, and success metrics. Identify and translate AI/ML opportunities into scalable business and functional requirements. Drive backlog prioritization, sprint planning, UAT/PAT, and agile delivery to enhance digital adoption and personalization.

The Staff Machine Learning Engineer will design and build scalable ML systems, mentor engineers, and drive AI strategy at SailPoint, focusing on AI-powered identity security solutions.

Develop and maintain GIS and remote sensing pipelines and geodatabases for Earth and planetary imagery, deploy web GIS/ArcGIS Enterprise products, produce cartography and QA/QC processes, support science and mission operations, and collaborate with scientists and engineers on NASA human exploration projects.

Transfyr seeks adaptable builders for various roles across CS, biology, and business. Responsibilities include developing sensor stacks, data harmonization, computer vision, machine learning systems, lab operations, project management, and business development.

The Vice President of Underwriting will lead the company's underwriting strategy, focusing on growth acceleration while managing credit, fraud, regulatory, and reputational risks. This role involves overseeing underwriting processes, implementing advanced analytics, optimizing risk frameworks, and ensuring regulatory compliance across different merchant segments.

The Senior Product Manager will lead marketplace product strategies, drive growth, and enhance customer value through cross-functional collaboration in a fast-paced environment.

The Vice President of AI will define and lead the AI strategy at Tempo, integrating AI capabilities into products, building teams, and ensuring ethical use of AI while driving business outcomes and customer value.

Lead a team of advanced product analysts, conduct data analysis and statistical modeling, design experiments, and develop reporting tools to drive product decisions and business performance.

The Product Counsel Senior Director provides legal counsel on product development and AI, manages IP portfolios, oversees compliance, and advises on technology transactions.

Lead payments-focused analytics to generate customer and business insights, build data-driven business cases, define KPIs and test-and-learn strategies, automate analyses, and partner cross-functionally to optimize payments, deposits, and customer experiences.

Lead technical customer engagements and guide cross-functional teams to design, build, and deploy enterprise-scale AI solutions. Provide architecture and program leadership for LLMs, RAG, ML, and cloud-native systems; establish engineering standards, CI/CD, observability, and AI governance; mentor engineers and support business development.

Lead customer-facing design, development, and deployment of AI-enabled software solutions. Translate stakeholder needs into scalable architectures, build production-quality code and APIs, implement CI/CD and observability, and mentor engineering teams. Drive solution discovery, technical leadership across projects, and adoption of modern AI/ML and DevOps practices to deliver mission-critical outcomes.

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

Evaluate and author high-quality computer science content to improve AI model reasoning and accuracy. Analyze complex CS problems, create scenarios/datasets, review AI outputs for correctness, and collaborate remotely to refine guidelines and documentation.

Develop ML/RL models and infrastructure for AV simulations, optimize training loops, and support project timelines in autonomous vehicle tech.

Lead petrophysical data management and OSDU integration initiatives: ingest, QC, transform, and align well logs and subsurface datasets. Support OSDU APIs, cloud deployments (AWS/Kubernetes), Python ETL, data governance, and cross-functional collaboration to enable analytics, ML, and reservoir workflows.

The Senior Data Scientist will manage data collection, design study protocols, train juniors, lead report development, and support innovative analytics tools.

The role involves conducting research and optimizing machine learning systems while collaborating with technical staff to enhance product performance.

As a Research/ML Engineer, you will translate cutting-edge AI research into product solutions, develop safety and reliability systems, and collaborate with technical teams.

The Senior Product Manager will lead the integration of airline and third-party partners, optimize supply metrics, and leverage AI for automation. Responsibilities include managing APIs, collaborating with engineering, and improving the booking experience.

The Director of AI will lead AI and machine learning initiatives, develop AI architecture for humanoid robots, oversee production-ready AI systems, and manage team growth and budget.