AI Research Scientist

• Design and implement end-to-end model pipelines to production across multiple product domains, including ranking, recommendations, search, and personalization
• Develop and maintain scalable data pipelines, data quality checks, and model monitoring to ensure reliability, performance, and responsible behavior of ML systems in production
• Collaborate with cross-functional partners (product, analytics, engineering) to translate ambiguous business needs into well-scoped ML projects, communicate findings, and influence decision making with data-driven insights
• Use A/B tests and offline/online evaluation frameworks to measure model impact and guide iterative improvement

Machine Learning Scientist III – Whole Trip AI

• Manage a team of Applied Scientists and Research Engineers, ensuring a high-performance culture.
• Build, mentor, and grow a high-performing team of applied scientists.
• Translate state-of-the-art AI research into scalable, production-ready solutions.
• Partner with Product and Engineering leaders to define and execute the AI-driven product roadmap.
• Oversee scaling of experiment and LLMOps platforms, balancing reusability and innovation.
• Explore emerging technologies, foster experimentation, and share impact and ideas to both technical and non-technical audiences.

Manager, AI and Applied Research

Machine Learning Scientist II – Whole Trip AI

• Lead, design, and execute complex user research studies, identifying opportunities to drive business value and improve the user experience.
• Merge qualitative and quantitative data via mixed methodologies.
• Drive cross-functional alignment by presenting research insights to senior stakeholders and executive leadership, influencing product and business decisions.
• Synthesize and communicate research findings for diverse audiences, including executive summaries, workshops, and actionable recommendations for cross-functional teams.
• Partner with designers, product managers, and engineers to translate research insights into strategic design and product roadmaps.
• Document insights and artifacts in a central repository.
• Lead the creation and evolution of user personas/archetypes and journey maps based on robust research and data.

Senior CX/UX Researcher – AI-First Innovation for Tax & Accounting

• Design and develop machine learning models for understanding and reasoning over architectural plans, engineering documents, and spatial data.
• Build and deploy systems using vision, language, and graph-based models to process 2D drawings, 3D geometries, and structured engineering data.
• Develop and train surrogate models for structural and MEP simulations to accelerate design evaluation.
• Design and implement reinforcement learning and optimization systems for automated and combinatorial design problems.
• Build robust data pipelines and training infrastructure for large-scale, domain-specific datasets.
• Collaborate closely with engineering and product teams to integrate ML models into production workflows.
• Lead experimentation, evaluate model performance on real-world use cases, and iterate rapidly to improve system quality and reliability.
• Contribute to the overall system design, including modeling decisions, architecture choices, and scaling strategies.

AI/ML Researcher – Intermediate/Senior

• Research and prototype computer vision models and language models tailored for domain-specific tasks, such as understanding and processing architectural plans, engineering documents, and building system data.
• Develop robust data pipelines for curating, training, and fine-tuning models on diverse engineering data, including 2D drawings, 3D geometries, and text-based specifications.
• Implement machine learning algorithms for tasks such as object detection, semantic segmentation, and advanced reasoning within the AEC domain.
• Explore and implement reinforcement learning frameworks to optimize and automate complex decision-making processes in the built environment.
• Collaborate with the engineering team to deploy AI models into our core design and analysis workflows, applying MLOps best practices for scalable machine learning deployment.
• Conduct rigorous experiments and evaluate model performance on real-world AEC use cases to ensure scalability and accuracy.

AI/ML Researcher – Intern

• Lead end-to-end research projects in Agentic AI / AI / Generative AI / Machine Learning from ideation, research, experimentation, implementation, evaluation, transfer and documentation.
• Contribute and lead building the next generation of foundation models and agentic AI systems trained / operating on large volumes of heterogeneous data - both structured and unstructured - that enhance Wells Fargo's products, services, and operations.
• Lead the deployment of foundation models, LLMs, and agentic AI systems into production, with a strong understanding of deployment trade-offs.
• Drive the exploration, application, and rigorous evaluation of emerging AI technologies that solve real-world challenges.
• Collaborate closely with interdisciplinary teams, including researchers, data scientists, applied engineers, and domain experts.
• Translate research insights into impactful business solutions, open-source contributions, patents, and publications.
• Publish in top-tier AI/ML conferences and journals and represent Wells Fargo in the broader AI research community.

Senior Lead AI Research Scientist – Foundation Models, Agentic AI

• Engage in relevant research and development (R&D) of AI systems, models, and advanced machine learning algorithms that augment physics-driven modeling and simulation systems
• Explore and implement AI-powered simulation tooling in support of AI workflows through reinforcement learning, multi-agent systems, and hybrid modeling approaches
• Collaborate with research, engineering, and product teams to build AI-powered solutions that meet mission-critical modeling and decision-support needs
• Engage in and support the drafting and review of conference and journal articles and presentations, sharing advances with both internal stakeholders and the wider research community.
• Contribute content to technical invention disclosures, including associated narrative, graphics, and engagements in support of patent development
• Perform additional responsibilities (no more than 10% of duties) in support of the company’s technology and product development initiatives.

AI Research Scientist, Applied AI

• Architecting and delivering scalable prototypes for various features
• Research, design, and prototype cutting-edge generative AI solutions that enhance CrowdStrike's AI Detection and Response capabilities
• Create, curate, and maintain high-quality datasets for training and evaluating deep learning models; establish data collection pipelines, labeling workflows, and quality assurance processes to ensure dataset integrity
• Conduct experiments to further the capabilities of existing models

Senior AI Scientist – AI Detection and Response

• Design and analyze neuromorphic AI algorithms for robotics, signal processing, control, and learning on edge platforms
• Develop research-quality software artifacts including APIs, kernels, and benchmarking tools that enable collaborative innovation
• Prototype and evaluate approaches under realistic constraints including quantization, sparsity, memory footprint, latency, and energy optimization
• Collaborate with hardware and software engineering teams to translate algorithmic requirements into hardware specifications
• Build experimental pipelines and benchmarks for target use cases with comprehensive baseline and ablation studies
• Communicate results through technical documentation, customer prototypes, and publications in leading conferences and journals
• Contribute to technical thought leadership in neuromorphic computing and present findings to internal and external stakeholders

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