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Generative Ai Researcher Jobs in Minnesota (NOW HIRING)

Head of AI Delivery

Minneapolis, MN · On-site

$221K/yr

Hands-on AI/ML experience, including familiarity with modern model architectures, generative AI, and agentic AI patterns * Established industry thought leadership, research, patent, academic, or ...

Proven track record as a software engineer with AI expertise (not primarily a data scientist or ML researcher), with experience in Generative AI or RAG or LLMs - including solution discovery ...

Proven track record as a software engineer with AI expertise (not primarily a data scientist or ML researcher), with experience in Generative AI or RAG or LLMs - including solution discovery ...

... generative AI technologies to real-world problems. You will contribute to the development of scalable analytical services, intelligent decision-support capabilities, research initiatives, and ...

Senior eDiscovery Analyst

Minneapolis, MN · Remote

$96K - $121K/yr

Research and troubleshoot a wide variety of electronic discovery issues and recommend technical ... Serve as a subject-matter resource for generative AI and analytics tools, mentoring analysts and ...

... Intelligence (AI), Generative AI, Agentic AI, and advanced analytics solutions that accelerate digital transformation across Manufacturing, Quality, Supply Chain, Engineering, R&D, ...

AI Technical Program Manager

Edina, MN · On-site

$133K - $172K/yr

Identify and manage dependencies across engineering, corporate IT, product development, and R&D to ... Familiarity with AI and machine learning technologies, including generative AI and responsible AI ...

Showing results 41-60

Generative Ai Researcher information

What does a generative AI researcher do?

A Generative AI Researcher studies and develops artificial intelligence models that can create new content such as text, images, music, or code. They work on advancing algorithms like generative adversarial networks (GANs), variational autoencoders (VAEs), and large language models to improve their performance and applications. Their work often involves designing experiments, analyzing data, publishing research, and collaborating with other scientists and engineers to push the boundaries of AI creativity and utility.

What are some common challenges generative AI researchers face when transitioning models from research to production environments?

Generative AI Researchers often encounter challenges when moving models from experimental research settings into real-world production. These challenges include ensuring models are robust to diverse, unseen data, optimizing for computational efficiency, and addressing potential biases or ethical concerns present in generated outputs. Collaboration with engineering teams is key to deploying scalable solutions, while ongoing monitoring is necessary to maintain model performance and compliance. Researchers should be prepared to iterate on their models post-deployment based on feedback and real-world results.

What are the key skills and qualifications needed to thrive as a generative AI researcher, and why are they important?

To thrive as a Generative AI Researcher, you need a strong background in computer science, mathematics, and machine learning, typically supported by an advanced degree (Master's or PhD) in a relevant field. Proficiency in programming languages such as Python, experience with deep learning frameworks like TensorFlow or PyTorch, and familiarity with research tools and publication processes are essential. Creative problem-solving, critical thinking, and effective collaboration skills help researchers innovate and communicate complex ideas. These skills and qualities are crucial for advancing AI technologies, publishing impactful research, and driving progress in this rapidly evolving field.

What is the difference between Generative Ai Researcher vs Machine Learning Engineer?

AspectGenerative Ai ResearcherMachine Learning Engineer
CredentialsAdvanced degrees in AI, Computer Science, or related fields; research experienceDegree in Computer Science, Data Science, or related fields; coding skills
Work EnvironmentResearch labs, academia, R&D departmentsTech companies, startups, product teams
Industry UsageFocus on developing generative models like GANs, VAEs, transformersImplementing ML models for various applications, including generative tasks

While both roles involve AI and machine learning, Generative Ai Researchers primarily focus on developing new generative models and advancing AI research, often working in academic or research settings. Machine Learning Engineers typically implement and deploy ML models in production environments across industries. The roles overlap in skills and tools but differ in their core focus and work environment.

What are popular job titles related to Generative Ai Researcher jobs in Minnesota?

For Generative Ai Researcher jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Generative Ai Researcher jobs in Minnesota look for?

The top searched job categories for Generative Ai Researcher jobs in Minnesota are:

What cities in Minnesota are hiring for Generative Ai Researcher jobs?

Cities in Minnesota with the most Generative Ai Researcher job openings:

Head of AI Delivery

US Bank

Minneapolis, MN • On-site

$221K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago


U.S. Bank rating

8.1

Company rating: 8.1 out of 10

Based on 364 frontline employees who took The Breakroom Quiz

66th of 174 rated banks


Job description

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One.

Job Description

Head of AI Solutions
This role operates across innovation, execution, governance, and transformation to ensure AI solutions align with Responsible AI principles, regulatory expectations, enterprise architecture, and business priorities. The leader will build strong partnerships across the enterprise, industrialize delivery models, and help position U.S. Bank as an AI-enabled financial institution delivering secure, scalable, and differentiated customer and employee experiences.


Summary
The Head of AI Solutions leads enterprise AI solution delivery, translating strategy and product roadmaps into measurable business value. This leader scales trusted, compliant, enterprise-grade AI capabilities from experimentation to production; coordinates delivery across the AI CoE, technology, risk, and business partners; promotes reuse; and accelerates execution against enterprise AI priorities.

Key Responsibilities
AI Innovation and Solution Development

  • Lead the design, development, and deployment of high-impact AI solutions across business lines
  • Drive rapid experimentation, prototyping, and pilot execution, converting innovations into enterprise-scale deployments
  • Move ideas from experimentation and prototyping into production-ready, commercially viable, enterprise-scale capabilities
  • Oversee priority solution domains, including agentic AI, document intelligence, advanced models, and generative AI applications

Enterprise Value Delivery

  • Own delivery of measurable outcomes, including revenue growth, cost optimization, efficiency gains, risk reduction, and customer or employee experience improvements
  • Lead multi-disciplinary teams across ideation, validation, deployment, scaling, and optimization.
  • Partner with technology and product organizations to industrialize AI delivery and establish reusable patterns, platforms, and capabilities
  • Maintain strong regulatory, risk, ethical, and Responsible AI practices, proactively addressing bias, model risk, privacy, security, and unintended consequences.
  • Provide leadership across the full AI lifecycle including in Ideation and early-stage R&D, Experimentation and validation, Production deployment, Enterprise scaling and optimization

Thought leadership

  • Serve as a senior advisor and integrator across decentralized AI initiatives, ensuring alignment to enterprise strategy and investment priorities
  • Collaborate with business lines, product, technology, risk, legal, compliance, and data teams to embed governance and controls into delivery
  • Advance research, patents, intellectual property, external partnerships, academic relationships, and industry presence where they strengthen enterprise priorities

Enterprise Adoption & Enablement

  • Drive enterprise adoption through leadership education, community engagement, "art of the possible" sessions, and use-case discovery
  • Build, empower, and harmonize multidisciplinary teams across data science, engineering, product, risk, legal, compliance, and business functions
  • Create a culture of innovation, experimentation, accountability, reuse, and continuous learning


Basic Qualifications

  • Executive-level leadership experience in AI, advanced analytics, emerging technology, or enterprise-scale digital transformation
  • Proven track record delivering enterprise technology solutions with measurable business impact
  • Deep understanding of the AI/ML lifecycle, data ecosystems, model development, and production deployment models
  • Strong knowledge of Responsible AI, model risk, governance, privacy, security, and regulatory expectations in financial services
  • Ability to operate across complex, matrixed organizations and influence senior executives, business leaders, risk partners, and technology teams
  • Advanced degree or equivalent experience in computer science, AI/ML, engineering, analytics, business, or a related field

Preferred Skills and Experiences

  • Experience leading applied AI teams in financial services or another highly regulated industry.
  • Demonstrated success building and scaling centralized AI delivery functions, such as an AI CoE or equivalent capability
  • Hands-on AI/ML experience, including familiarity with modern model architectures, generative AI, and agentic AI patterns
  • Established industry thought leadership, research, patent, academic, or ecosystem partnership experience
  • Experience managing large, cross-functional teams across business, technology, and risk disciplines

Location

  • The role requires working onsite at a U.S. Bank office location three (3) or more days per week

If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to ourdisability accommodations for applicants.

Benefits:

Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

  • Healthcare (medical, dental, vision)

  • Basic term and optional term life insurance

  • Short-term and long-term disability

  • Pregnancy disability and parental leave

  • 401(k) and employer-funded retirement plan

  • Paid vacation (from two to five weeks depending on salary grade and tenure)

  • Up to 11 paid holiday opportunities

  • Adoption assistance

  • Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Review our full benefits available by employment status here.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about theE-Verify program.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $214,795.00 - $252,700.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.


What U.S. Bank employees say

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About U.S. Bank

Sourced by ZipRecruiter

U.S. Bank is a reputable and established financial institution that plays a significant role in the banking sector. With a history spanning over 150 years, U.S. Bank has built a strong foundation of trust and reliability. As a comprehensive bank, they offer a wide array of financial products and services to cater to the diverse needs of their customers, including individuals, businesses, and communities. Customer satisfaction is of utmost importance to U.S. Bank. They prioritize delivering exceptional service and fostering long-term relationships with their clients. Through their extensive network of branches and advanced digital banking platforms, U.S. Bank ensures convenient access to their services, empowering customers to manage their finances efficiently and securely.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1863

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