U.S. Bank
U.S. Bank
U.S. Bank yra Jungtinėse Amerikos Valstijose veikianti finansinių paslaugų institucija, aptarnaujanti gyventojus ir įmones mažmeninės ir verslo bankininkystės, turto valdymo, kredito rizikos vertinimo ir investicijų valdymo srityse. Įmonė taip pat remia finansinio raštingumo iniciatyvas ir bendruomenės įsitraukimą. Jos karjeros turinyje pabrėžiama įtrauktis, darbo kultūra, darbuotojų ugdymas, sveikata ir gerovė. U.S. Bank yra FDIC narys, kiek tai susiję su reikalavimus atitinkančiais indėlių produktais; investiciniai ir draudimo produktai nėra apdrausti FDIC ir jų vertė gali sumažėti.

Senior AI Research Scientist at U.S. Bank (Hybrid)

Advance generative AI, large language models, and agentic systems for U.S. Bank’s financial services work. Carry research from early prototypes through secure enterprise deployment.

Aprašymas

  • Track and test advances in generative AI, large language models, multimodal AI, and agentic systems.
  • Find ways to apply advanced AI methods to complex financial services challenges.
  • Carry out original AI research and exploratory studies.
  • Form hypotheses, run experiments, assess results, and present findings to technical and business audiences.
  • Support innovation through patents, technical papers, white papers, and prototypes.
  • Turn research ideas into functional prototypes and proofs of concept.
  • Build and validate AI solutions across the lifecycle, from data preparation and modeling to deployment and monitoring.
  • Create experimental and production solutions with current AI and machine learning tools, frameworks, and cloud platforms.
  • Use sound practices for model evaluation, benchmarking, explainability, security, and responsible AI.
  • Build with foundation models, generative AI, retrieval-augmented generation, fine-tuning, and agentic workflows.
  • Design and assess AI agents, multi-agent systems, orchestration frameworks, tool-use architectures, memory systems, and human-in-the-loop workflows.
  • Help shape prompt engineering, model adaptation, evaluation, observability, and governance for LLM-based systems.
  • Evaluate emerging model architectures for use in highly regulated settings.
  • Work with engineering, platform, product, and business teams to move prototypes into production.
  • Help deploy and operationalize AI solutions.
  • Meet innovation goals while addressing scale, security, compliance, and operational needs.
  • Share expertise and offer technical guidance to colleagues and junior team members.
  • Lead assigned initiatives and deliver AI capabilities from concept to deployment.

Reikalavimai

  • Bachelor’s degree in statistics, computer science, engineering, applied mathematics, or another quantitative field, or equivalent work experience.
  • At least eight years of relevant experience.
  • A Ph.D. in computer science, artificial intelligence, machine learning, applied mathematics, statistics, computational linguistics, or a related discipline is strongly preferred.
  • Advanced knowledge of machine learning, deep learning, neural networks, transformer architectures, and foundation models.
  • Experience with generative AI, including LLMs, fine-tuning, RAG systems, model evaluation, and inference optimization.
  • Experience building and assessing agentic AI systems, multi-agent workflows, orchestration frameworks, and autonomous decision-making architectures.
  • Practical experience with PyTorch, Hugging Face, LangChain, LangGraph, or comparable AI ecosystems.
  • A record of innovation shown through publications, patents, open-source work, conference talks, or successful AI solutions.
  • Experience building AI in a regulated sector such as financial services, healthcare, insurance, or telecommunications.
  • Clear communication skills and the ability to turn complex AI concepts into practical business outcomes.
  • Availability to work from a U.S. Bank location at least three days per week.
  • Ability to follow U.S. Bank policies, including its Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Privalumai

  • Medical, dental, and vision coverage.
  • Basic and optional term life insurance.
  • Short- and long-term disability coverage.
  • Pregnancy disability coverage and parental leave.
  • 401(k) and an employer-funded retirement plan.
  • Two to five weeks of paid vacation, depending on salary grade and tenure.
  • Up to 11 paid holidays.
  • Adoption assistance.
  • Sick and Safe Leave accrual of one hour per 30 hours worked, up to 80 hours per calendar year unless applicable law provides otherwise.
  • Incentive and recognition programs.
  • Equity stock purchase plan.
  • 401(k) contributions and a pension.

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