Top Senior Machine Learning Jobs in Houston, TX

The Engineering Manager, Data Science will lead a team to drive machine learning initiatives in AdTech, focusing on optimization and modeling strategies to enhance client success and operational efficiency.

Embed in Research to drive end-to-end delivery of STT/TTS model versions and features. Map dependencies and risks, run cross-functional programs, establish lightweight processes, and communicate status across Research, Product, DataOps, and Engineering to ensure timely launches.

Lead product analytics to inform strategy and optimize user experience: translate business questions into analysis, build reliable analytics infrastructure, run A/B tests and ML/statistical analyses, track funnels and cohorts, support 0-to-1 product launches, and communicate actionable insights to cross-functional teams.

Lead the development of fraud prediction models using machine learning, collaborating across teams to build, scale, and monitor models in production.

The role involves deploying and supporting CrowdStrike's AI capabilities in cybersecurity, optimizing threat detection, and mentoring teams on AI solutions.

Lead a team of ML engineers to develop fraud detection models, defining strategies, driving model evolution, and ensuring effective integration with cross-functional teams.

As Principal Product Manager, you will define the strategy for Upstart's pricing platform, enhancing its scalability and reliability while collaborating across teams to innovate pricing capabilities for loan products.

Partner with functional leaders to translate business strategy into people strategy. Own org design, performance management, compensation, talent development, engagement, and retention. Provide coaching on career pathing, change management, and sensitive employee issues. Use people data to generate insights and recommendations, build compliant HR policies, manage global employee relations, and collaborate with People Team COEs to deliver cohesive people programs at scale.

As a Manager of Cloud Software Engineering at Coupa, you will lead AI platform DevOps, manage global teams, and oversee agile delivery while ensuring technical quality and innovation.

Lead and transform the Fraud Intelligence Team into a high-impact function by improving operating models, QA, tooling, and metrics; build entry-level talent programs; connect labeling to measurable fraud prevention outcomes; deliver actionable insights to Product, R&D, Analytics, and GTM; and leverage AI and automation to increase productivity and business impact.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

Serve as second-in-command for Coinbase Derivatives' Market Regulation Department, leading day-to-day regulatory compliance, managing exams and audits, advising on CFTC Core Principles, reviewing surveillance escalations and enforcement actions, and coordinating cross-functional regulatory workstreams to ensure the DCM meets obligations and resolves findings timely.

Own product strategy and delivery for chat, voice, and proactive support surfaces to maximize automation rates and CSAT. Build AI-integrated capabilities with ML/LLM teams and vendors, partner with Engineering, CX Operations, Data Science, and Compliance on platforms (Amazon Connect, Sprinklr, Salesforce), drive build-vs-buy decisions, and execute cross-functional delivery to optimize customer and agent experiences.

Partner with enterprise customers to design, prototype, and implement CI/CD and DevSecOps solutions. Run discovery and architecture workshops, produce technical proposals and POCs, leverage AI/ML for integrations, and influence product roadmap while building executive-level relationships to drive platform adoption.

Lead the SDL and Cash Line ML teams, developing innovative machine learning models to improve lending solutions and expand credit access. Collaborate with cross-functional teams to drive product strategy and enhance model performance, while mentoring a team of ML scientists.

Lead manager enablement and AI-native learning programs across Coinbase. Own end-to-end manager onboarding, design AI-driven interventions, facilitate live and self-service learning, partner with HR teams, set success metrics, and consult on cross-functional content to drive measurable behavior change and scale.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

The Senior Product Manager will oversee the strategy and development of telematics data products, manage cross-functional teams, and ensure product viability and market alignment through customer insights and technical fluency.

Lead the development of high-temperature refining systems, design and validate thermal process flowsheets, optimize metal recovery and energy efficiency, and collaborate with R&D teams for process automation.

Lead the development and deployment of chemical refining processes, oversee controls programming, manage equipment and teams, and support project execution and business development.

Support finance through budget-to-actual analysis, P&L and balance sheet reviews, pricing and margin analysis for homes and closed jobs, maintain and enhance the consolidated financial model, lead variance review sessions, assist annual budgeting and data warehouse uploads, perform market analysis of residential construction peers, and identify AI-driven automation and forecasting improvements.

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.

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.

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