Top Machine Learning Jobs in Houston, TX

Own and scale Jellyfish’s security engineering program, including strategy, architecture, secure SDLC governance, AI security, threat modeling, vulnerability remediation, incident response, penetration testing, and bug bounty programs. The role combines hands-on software development with executive advising, cross-functional leadership, mentorship, and security risk management across SaaS infrastructure and customer-facing AI products.

Drive product and business impact through statistical modeling, experiment design, Bayesian marketing analysis, machine learning, NLP, LLM applications, and classifier implementation. Build growth metrics, monitoring pipelines, evaluation datasets, and AI trigger systems across search and Duck.ai. Analyze privacy-constrained data, deploy production-grade models, optimize SQL queries, and lead complex projects from scoping through production with minimal direction.

Own the strategy, roadmap, requirements, launch, adoption, and success metrics for a technical platform. Partner with engineering, data, product, and business teams; evaluate architecture, APIs, and system tradeoffs; prioritize foundational investments against customer and revenue outcomes; and apply AI to improve platform capabilities. The role requires strong product management experience, technical depth, analytical skills, and production experience with LLM-based or ML-adjacent products.

Lead the In-Vehicle Experience team at Samsara, focusing on transforming in-cab cameras into intelligent companions. Collaborate with engineering, prioritize features, and ensure client interactions highlight trust and connection. Conduct customer research and integrate AI and ML into product features.

Lead AMP's multidisciplinary engineering organization to define and execute technology vision and roadmap. Responsible for scaling teams across hardware, software, AI, and infrastructure; driving product development, quality systems, and reliable deployments; partnering with execs and cross-functional teams on budgets, prioritization, and metrics; recruiting and mentoring leaders; and balancing short-term delivery with long-term investments to create business value.

The intern will utilize machine learning and statistics to extract patterns from data, implement algorithms, back-test models, and communicate findings effectively.

Develop and optimize full-funnel, multi-channel demand generation campaigns that generate pipeline, accelerate deals, and support cross-sell and upsell opportunities. Partner with product marketing, sales development, content, product, field, partner marketing, and analytics teams. Build lead-nurturing programs, align assets to buyer stages, monitor conversion and ROI metrics, and create dashboards to optimize campaign performance.

The GRC Analyst manages third-party risk assessments, vendor due diligence, security policies, risk analysis, internal audits, and SOC 2 audit support. The role involves maintaining the GRC program, tracking findings, coordinating stakeholders, promoting security awareness, and using AI and machine learning to automate compliance processes. Candidates should have 1–2+ years of relevant experience, strong communication skills, and familiarity with risk methodologies, vendor assessments, policies, and compliance audits.

Leads wind energy assessments, SCADA and performance analysis, advanced data processing, automation, and technical consulting for utility-scale renewable projects. Develops analytical tools and workflows, evaluates energy production, uncertainty, losses, and risks, and provides technical oversight, peer review, mentoring, and customer-facing expertise. The role also advances AI-enabled analytics, data management, visualization, and renewable energy assessment methodologies.

Performs wind resource and energy production assessments for utility-scale projects, analyzing meteorological, SCADA, LiDAR, and operational data. Supports technical due diligence, project performance and risk evaluations, remote sensing, uncertainty analysis, and customer deliverables. Collaborates with multidisciplinary teams, mentors colleagues, contributes to AI-enabled automation and analytical workflows, and participates in technical consulting projects across the renewable energy lifecycle.

Design, develop, and integrate Generation Management System (GMS) software; collaborate with customers on configuration, testing, training, and issue resolution; support proposals; ensure regulatory compliance; work with SCADA/EMS integrations and power system modeling/optimization.

Account Director responsible for enterprise sales across energy and chemistry markets. The role involves qualifying complex R&D and product development opportunities, generating pipeline, engaging Fortune 1000 stakeholders, presenting value-based business cases, building consensus, closing enterprise deals, and contributing customer insights to product strategy. Requires 50% travel to customer sites and industry events, collaboration with technical teams, and a consistent record of exceeding sales quotas.

Develop and support software, automation tools, dashboards, and alarms for cloud infrastructure, cost attribution, and cloud efficiency. Collaborate with cross-functional teams and senior engineers to design reliable systems, APIs, databases, tests, and AI agents. Contribute to architecture and automation strategies while maintaining strong security, communication, and delivery practices.

Provides pre-sales technical expertise for MPC and APC solutions. Leads customer discovery, opportunity qualification, benefits studies, process and historical data analysis, solution scoping, proposal development, technical presentations, and sales handoffs. Assesses manufacturing processes, quantifies business value, develops engineering estimates and bills of materials, addresses technical objections, and supports strategic sales pursuits. The role requires manufacturing or customer-support experience, 40% travel, and strong knowledge of process optimization and control strategies.

Develop and implement AI solutions and machine learning systems that enhance products and solve complex client problems. Responsibilities include advanced analytics, LLM production deployment, prompt engineering, RAG pipeline optimization, cross-functional collaboration, technical discovery, responsible AI advocacy, client relationship building, and mentoring junior team members.

Leads Fenergo product consulting engagements focused on AML, sanctions, data analytics, and regulatory risk solutions. Manages client accounts, oversees project planning and execution, guides analytics initiatives, and develops data-driven business strategies. Uses predictive analytics, machine learning, statistical modeling, and scenario analysis to generate insights. Manages and mentors teams, engages stakeholders, resolves conflicts, promotes innovation, and ensures high-quality deliverables and adherence to professional standards.

Develop and test AI software and machine learning models for NASA human spaceflight applications. Responsibilities include gathering requirements, designing software, validating AI systems, troubleshooting, presenting capabilities, and following NASA software processes. The role applies AI to mission control, systems engineering, spacecraft hardware prognostics, and flight software testing while collaborating with engineers and stakeholders.

Leads forensic automation and cognitive technology engagements, delivering machine learning, data science, predictive modeling, and statistical solutions for enterprise clients. Designs scalable pipelines and reusable analytics components, integrates cloud and enterprise data, presents findings to executive and legal audiences, manages teams, and provides client and internal training.

Leads pricing and revenue data science initiatives for consumer markets clients. Develops predictive models, forecasts trends and customer behavior, manages dashboards and visualizations, ensures data quality, and translates complex analytics into strategic decisions. Oversees client engagements, validates outcomes, directs complex projects, and coaches diverse, high-performing teams.

This role entails using statistics and machine learning to analyze complex datasets, implementing algorithms, and back-testing models. A PhD is required for this position.

Leads the strategy, technical direction, and delivery of insurance data science across pricing, underwriting, cost modeling, demand modeling, and growth. Oversees predictive modeling standards, model lifecycle governance, engineering collaboration, regulatory alignment, and production deployment. Builds and develops a high-performing data science organization while partnering with actuarial, product, underwriting, pricing, and executive leadership to connect analytical work with profitability and business outcomes.

Leads complex, enterprise-wide technology programs across business and IT teams, aligning strategic priorities with delivery. Responsibilities include program governance, roadmaps, dependencies, budgets, risks, vendors, data governance, AI initiatives, change management, adoption, benefits tracking, and transition to operations. The role partners with technical and business stakeholders across applications, infrastructure, cybersecurity, data, automation, integrations, and analytics while mentoring project managers and communicating progress to leadership.

Develops, configures, tests, integrates, and supports ServiceNow solutions, workflows, applications, and ITSM capabilities. Applies generative AI, machine learning, and intelligent automation knowledge to design and implement AI-enabled ServiceNow solutions. Translates business requirements into technical designs, supports upgrades and production incidents, contributes to proofs of concept, performs troubleshooting and root cause analysis, and participates in on-call support, code reviews, and continuous improvement.

Supports scientific research programs, laboratory operations, spaceflight and ISS-related studies, STEM content development, exhibits, and educational outreach. Responsibilities include managing research projects, maintaining lab equipment and documentation, developing SOPs and training materials, ensuring safety and regulatory compliance, mentoring staff and students, supporting grants and publications, and communicating scientific concepts to diverse audiences.

Develop and maintain analytical models, data pipelines, forecasts, dashboards, and reporting for wholesale and retail energy markets. Support trading, risk management, supply optimization, pricing, and market intelligence across ERCOT and PJM. Use SQL, Python, visualization, machine learning, and generative AI to improve forecasting and automate workflows. Lead analytics projects from requirements through deployment, communicate insights to technical and business stakeholders, and identify process and data-quality improvements.