Machine Learning Jobs in Richardson, TX

Develop, enhance, and support CAD/EDA tools and flows for NAND, DRAM, and HBM designs; provide production support, documentation, training, and collaborate across design, process, and vendor teams. Apply CAD software engineering and AI/ML techniques to improve automation, productivity, and design quality.

Lead product management for enterprise product and experience initiatives, partnering with design, data, ML, and engineering to define strategy, prioritize roadmap, prototype solutions, and deliver customer-centric, technology-driven products that achieve business outcomes.

Lead enterprise product and experience initiatives, guiding cross-functional teams (product, data, design, ML, engineering) to define strategy, deliver customer-centric digital products, prototype and apply emerging AI/automation tools, and drive transformational outcomes across Capital One.

Lead and scale teams to transform network infrastructure toward an Intent-Based, IaC-driven architecture. Drive automation, AI integration, microservices, cloud deployments, and engineering best practices while mentoring engineers, collaborating with product managers, and replacing manual ops with intelligent automation.

Lead and deliver large-scale technical programs and platforms, align cross-functional teams (product, engineering, design, data science), mitigate technical risk, drive execution and accountability, and deliver data-intensive and cloud-native solutions that meet business goals in a regulated environment.

Lead and grow multiple product-focused software engineering teams; mentor engineers; collaborate with product managers; improve engineering practices; design, develop, test, deploy and support full‑stack and microservice solutions on AWS; ensure availability, resilience, and scalability; migrate monoliths to microservices and drive adoption of modern technologies and Agile practices.

Lead production of machine learning applications, provide technical expertise, and mentor engineers to drive ML model delivery at scale.

Lead Machine Learning Engineer to design and productionize generative AI and agentic multi-agent systems. Architect and scale agentic platforms, integrate evaluation and observability pipelines, ensure data/privacy guardrails, deploy production LLM/GenAI solutions, optimize model orchestration and RAG patterns, and provide technical leadership and code/architecture reviews for engineering teams.

Lead relationships with large self-insured employers to deliver healthcare data analytics solutions. Act as primary client contact, translate analytics into actionable recommendations, coordinate cross-functional teams, manage implementations and deliverables, present insights to executives, and identify opportunities to improve client programs and drive business growth.

Lead AI/ML-focused information security for enterprise agentic capabilities. Advise projects and CSOC teams on threat mitigation, compliance, automation, monitoring, and incident response. Partner with engineering and stakeholders to secure cloud, generative AI, and customer servicing platforms while driving data-driven decisions and continuous improvements.

The Senior Product Owner leads product development for Mainframe solutions at Broadcom, collaborating with cross-functional teams to deliver features based on customer needs and product roadmaps.

Lead design, enhancement, and maintenance of the bank's data warehouse and analytical platforms. Drive data engineering best practices, support ML/predictive capabilities, manage production issues, automate processes, collaborate on feature design, and mentor engineering teams while partnering with PMO on Agile delivery.

The Lead Data Science Product Manager will lead AI initiatives, engage with executives, design AI solutions, and provide overall product leadership.

Lead vision, strategy, and roadmap for Open Mainframe Solutions (Zowe and related tools). Advocate customer needs to R&D, prioritize features, unblock cross-functional teams, drive GTM and adoption, measure KPIs, and maintain executive and customer relationships to ensure product success.

Own one or more data science products end-to-end: gather customer requirements, write technical specs, prioritize features, coordinate stakeholders, drive delivery and adoption. Support data science and engineering tasks as needed and promote product usage across the organization while ensuring successful implementation and value realization.

The Senior Lead Machine Learning Engineer will design, implement, and scale ML applications, ensuring performance and high availability while collaborating with cross-functional teams.

Lead feature delivery for AI/ML and search platforms powering virtual financial assistants. Provide technical direction, design and integrate AI/LLM models, ensure quality, mentor engineers, manage backlog and deploy/optimize AI workloads across CPU/GPU and cloud while enforcing security, observability, and responsible AI practices.

Lead systems engineering for ISR/aviation programs, owning requirements engineering, MBSE, systems integration, V&V, architecture, technical planning, risk management, lifecycle activities, and mentoring senior engineers to deliver mission systems.

Full‑stack software engineer responsible for designing, coding, unit/integration testing, and delivering scalable services for AI/search platforms. Work includes CI/CD, performance tuning, integrating components, contributing to test suites, performing spikes/proofs‑of‑concept, and collaborating in Agile teams to meet functional, non‑functional, and compliance requirements.

Executive leader responsible for driving value from MarTech, data, and AI to modernize P&C marketing. Owns audience strategy, lifecycle design, journey orchestration across channels (email, SMS, calls, onsite), testing and optimization, vendor/third-party risk, and capability roadmaps. Builds and leads teams, partners with centralized MarTech and stakeholders, briefs C-suite, and ensures compliance with regulatory and risk frameworks.

The CTO will lead technology modernization efforts, drive innovation in cloud computing and analytics, and oversee the transformation of core insurance platforms to enhance customer experiences and business growth.

The Chief Compliance Officer will drive operational excellence and oversee regulatory compliance while managing investment operations and financial oversight.

The Business Development Specialist will identify sales opportunities, conduct market research, develop business strategies, and build customer relationships to achieve sales targets in data and AI solutions.

Lead systems engineering efforts including requirements engineering, systems integration, V&V, and MBSE. Drive technical planning, risk management, architecture/design development, lifecycle management, and mentor senior engineers to influence project direction and deliver ISR/aviation solutions.

The AI Engineer will prototype AI solutions, advise on integration, manage AI initiatives, and collaborate across technology teams, ensuring alignment with business needs. Roles include monitoring AI trends, engaging stakeholders, and conducting knowledge-sharing sessions on best practices.