D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Applied Mathematics, Statistics, or a related technical discipline. * 8+ years of experience in AI/ML research ...
D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Applied Mathematics, Statistics, or a related technical discipline. * 8+ years of experience in AI/ML research ...
D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Applied Mathematics, Statistics, or a related technical discipline. * 8+ years of experience in AI/ML research ...
D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Applied Mathematics, Statistics, or a related technical discipline. * 8+ years of experience in AI/ML research ...
Machine Learning Engineer
Minneapolis, MN · On-site
$85K - $125K/yr
Machine learning experience using visual data * Understanding of a variety of machine learning ... Kitware is a research and development software solutions provider with a mission to advance science ...
Machine Learning Engineer
Minneapolis, MN · On-site
$85K - $125K/yr
Machine learning experience using visual data * Understanding of a variety of machine learning ... Kitware is a research and development software solutions provider with a mission to advance science ...
Machine Learning Engineer
$85K - $125K/yr
Machine learning experience using visual data * Understanding of a variety of machine learning ... Kitware is a research and development software solutions provider with a mission to advance science ...
Quick apply
Machine Learning Engineer
$85K - $125K/yr
Machine learning experience using visual data * Understanding of a variety of machine learning ... Kitware is a research and development software solutions provider with a mission to advance science ...
Machine Learning Engineer
Minneapolis, MN · On-site
$85K - $125K/yr
Machine learning experience using visual data * Understanding of a variety of machine learning ... Kitware is a research and development software solutions provider with a mission to advance science ...
Machine Learning Engineer
Minneapolis, MN · On-site
$85K - $125K/yr
Machine learning experience using visual data * Understanding of a variety of machine learning ... Kitware is a research and development software solutions provider with a mission to advance science ...
Research Software Engineer -- R&D, Data Science & Machine Learning
Minneapolis, MN · On-site
$95K - $125K/yr
Exposure to machine learning, signal processing, or scientific computing * Experience in technical or research-driven environments * Familiarity with high-performance or low-latency systems
New
Research Software Engineer -- R&D, Data Science & Machine Learning
Minneapolis, MN · On-site
$95K - $125K/yr
Exposure to machine learning, signal processing, or scientific computing * Experience in technical or research-driven environments * Familiarity with high-performance or low-latency systems
New
Machine Learning Engineer II
$102K - $155K/yr
Study and transform data science prototypes; Research and implement appropriate ML algorithms and tools * Select appropriate datasets and data representation methods; Run machine learning tests and ...
Machine Learning Engineer II
$102K - $155K/yr
Study and transform data science prototypes; Research and implement appropriate ML algorithms and tools * Select appropriate datasets and data representation methods; Run machine learning tests and ...
Director Operations Research - Last Mile Demand Forecasting and Capacity Management
Minneapolis, MN · On-site
$168K - $303K/yr
Design, develop, deploy and maintain machine learning algorithms for our last mile business. You'll work closely with applied data scientists, operational research scientist, Product, engineering and ...
Director Operations Research - Last Mile Demand Forecasting and Capacity Management
Minneapolis, MN · On-site
$168K - $303K/yr
Design, develop, deploy and maintain machine learning algorithms for our last mile business. You'll work closely with applied data scientists, operational research scientist, Product, engineering and ...
Machine Learning Engineer
Minneapolis, MN · On-site
You will work closely with a cross-functional team of data scientists, software engineers, and domain experts to drive the development and deployment of machine learning solutions. SDG is looking for ...
Machine Learning Engineer
Minneapolis, MN · On-site
You will work closely with a cross-functional team of data scientists, software engineers, and domain experts to drive the development and deployment of machine learning solutions. SDG is looking for ...
Machine Learning Engineer
Minneapolis, MN · On-site
$130 - $170/hr
You will work closely with a cross-functional team of data scientists, software engineers, and domain experts to drive the development and deployment of machine learning solutions. SDG is looking for ...
Machine Learning Engineer
Minneapolis, MN · On-site
$130 - $170/hr
You will work closely with a cross-functional team of data scientists, software engineers, and domain experts to drive the development and deployment of machine learning solutions. SDG is looking for ...
Senior Data Scientist
Minneapolis, MN · On-site
$120 - $180/hr
Expertise in data science, machine learning, data mining, operations research, and statistical modeling techniques, specifically for high-volume and complex datasets. * Knowledge of best coding ...
New
Senior Data Scientist
Minneapolis, MN · On-site
$120 - $180/hr
Expertise in data science, machine learning, data mining, operations research, and statistical modeling techniques, specifically for high-volume and complex datasets. * Knowledge of best coding ...
New
Expertise in machine learning, neural networks, and deep learning Excellent writing and ... Research experience in natural language processing especially larger language models on biomedical ...
Expertise in machine learning, neural networks, and deep learning Excellent writing and ... Research experience in natural language processing especially larger language models on biomedical ...
Machine Learning Engineer III
Minneapolis, MN · On-site
$129K - $197K/yr
Study and transform data science prototypes; Research & implement appropriate ML algorithms & tools * Select appropriate datasets and data representation methods; Run machine learning tests and ...
Machine Learning Engineer III
Minneapolis, MN · On-site
$129K - $197K/yr
Study and transform data science prototypes; Research & implement appropriate ML algorithms & tools * Select appropriate datasets and data representation methods; Run machine learning tests and ...
Machine Learning Engineer
Virginia, MN · On-site
$150 - $190/hr
Collaborate with data engineers, data scientists, solutions architects, and product owners * Guide ... data science, or machine learning engineering * Experience with Python coding and libraries ...
New
Machine Learning Engineer
Virginia, MN · On-site
$150 - $190/hr
Collaborate with data engineers, data scientists, solutions architects, and product owners * Guide ... data science, or machine learning engineering * Experience with Python coding and libraries ...
New
Machine Learning Engineer
Golden Valley, MN · On-site
$119K - $122K/yr
... Machine Learning, and AI ... Participates and leads phases of the data science process, from data exploration and processing ...
Machine Learning Engineer
Golden Valley, MN · On-site
$119K - $122K/yr
... Machine Learning, and AI ... Participates and leads phases of the data science process, from data exploration and processing ...
Machine Learning Engineer
Golden Valley, MN · Hybrid
$119K - $122K/yr
... Machine Learning, and AI ... Participates and leads phases of the data science process, from data exploration and processing ...
Machine Learning Engineer
Golden Valley, MN · Hybrid
$119K - $122K/yr
... Machine Learning, and AI ... Participates and leads phases of the data science process, from data exploration and processing ...
Machine Learning Engineer
Golden Valley, MN · Hybrid
$119K - $122K/yr
... Machine Learning, and AI ... Participates and leads phases of the data science process, from data exploration and processing ...
Machine Learning Engineer
Golden Valley, MN · Hybrid
$119K - $122K/yr
... Machine Learning, and AI ... Participates and leads phases of the data science process, from data exploration and processing ...
Sr Operations Research Scientist - Supply Chain Network Optimization (Python, ML, Simulation)
Minneapolis, MN · On-site
$98K - $176K/yr
As a Sr Operation Research Scientist in SCNO, you will be studying the complex problems in supply ... machine learning and Monte Carlo simulations. Extensive knowledge of statistics, operations ...
Sr Operations Research Scientist - Supply Chain Network Optimization (Python, ML, Simulation)
Minneapolis, MN · On-site
$98K - $176K/yr
As a Sr Operation Research Scientist in SCNO, you will be studying the complex problems in supply ... machine learning and Monte Carlo simulations. Extensive knowledge of statistics, operations ...
Machine Learning Tutor
Edina, MN · Remote
$18 - $40/hr
... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Edina, MN · Remote
$18 - $40/hr
... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Saint Paul, MN · Remote
$18 - $40/hr
... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Saint Paul, MN · Remote
$18 - $40/hr
... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Climate Research Scientist Machine Learning information
What are the key skills and qualifications needed to thrive as a climate research scientist specializing in machine learning?
What does a climate research scientist specializing in machine learning do?
How do climate research scientists specializing in machine learning typically collaborate with multidisciplinary teams?
What is the difference between Climate Research Scientist Machine Learning vs Climate Data Analyst?
| Aspect | Climate Research Scientist Machine Learning | Climate Data Analyst |
|---|---|---|
| Required Credentials | Master's or PhD in Climate Science, Data Science, or related fields; knowledge of machine learning | Bachelor's or Master's in Environmental Science, Data Analysis, or related fields; proficiency in data tools |
| Work Environment | Research labs, universities, environmental agencies, often collaborative and interdisciplinary | Government agencies, consulting firms, NGOs; focus on data processing and reporting |
| Employer & Industry Usage | Research institutions, academia, environmental organizations integrating machine learning | Policy organizations, environmental consultancies analyzing climate data |
While both roles involve climate data, Climate Research Scientist Machine Learning focuses on developing predictive models using advanced algorithms, whereas Climate Data Analysts primarily process and interpret climate datasets to inform decisions. The former requires more specialized knowledge in machine learning techniques, while the latter emphasizes data management and reporting skills.
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Full-time
Medical, Dental, Vision, Life, Retirement, PTO
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U.S. Bank rating
8.2
Based on 360 frontline employees who took The Breakroom Quiz
51st of 170 rated banks
Job description
Job Description
U.S. Bank is seeking a Principal AI Research Scientist to join the Artificial Intelligence Center of Excellence (AI CoE), a high-impact organization responsible for advancing the bank's AI strategy from early-stage research through enterprise deployment.
This role is ideal for a highly technical and hands-on AI leader who thrives at the intersection of research, innovation, and execution. The successful candidate will continuously evaluate emerging advances in artificial intelligence, identify opportunities to create business value, rapidly prototype novel solutions, and lead their evolution into scalable enterprise capabilities.
Unlike traditional research positions, this role spans the entire R&D lifecycle. The ideal candidate combines deep scientific expertise with strong software engineering and solution delivery capabilities, enabling them to move seamlessly from research exploration and experimentation to deployment and adoption of production-grade AI solutions.
The candidate is expected to be an active contributor to the broader AI community, maintain awareness of cutting-edge academic and industry developments, and help shape the future direction of AI innovation within the bank.
Key Responsibilities
AI Research & Innovation
- Monitor, evaluate, and experiment with emerging AI technologies, research breakthroughs, and industry trends, with particular emphasis on generative AI, large language models (LLMs), multimodal AI, and agentic AI systems.
- Identify opportunities to apply advanced AI techniques to complex business problems across financial services.
- Conduct original AI research and exploratory investigations to assess the feasibility and value of novel approaches.
- Develop hypotheses, design experiments, evaluate results, and communicate findings to technical and executive stakeholders.
- Contribute to publications, patents, technical whitepapers, and thought leadership initiatives where appropriate.
Prototyping & Solution Development
- Rapidly transform research concepts into working prototypes and proof-of-concepts.
- Design, develop, and validate AI solutions across the full lifecycle, from data preparation and modeling through deployment and monitoring.
- Build experimental and production-ready solutions using modern AI/ML tools, frameworks, and cloud platforms.
- Apply best practices in model evaluation, benchmarking, explainability, security, and responsible AI.
Generative AI & Agentic Systems
- Lead the development of solutions leveraging foundation models, generative AI, retrieval-augmented generation (RAG), fine-tuning techniques, and agentic workflows.
- Design and evaluate AI agents, multi-agent systems, orchestration frameworks, tool-use architectures, memory systems, and human-in-the-loop workflows.
- Establish best practices for prompt engineering, model adaptation, evaluation, observability, and governance of LLM-based systems.
- Assess emerging model architectures and determine their applicability within a highly regulated environment.
Deployment & Technical Leadership
- Partner with software engineers, platform teams, product managers, and business stakeholders to transition successful prototypes into production environments.
- Provide technical leadership throughout deployment and operationalization activities.
- Drive architectural decisions for AI solutions while balancing innovation, scalability, security, compliance, and operational requirements.
- Mentor engineers and data scientists and provide guidance on advanced AI techniques and best practices.
- Take ownership of outcomes and ensure successful delivery of AI capabilities from concept through adoption.
Basic Qualifications
- Bachelor's degree, or equivalent work experience
- Eight or more years of relevant experience
Preferred Skills/Experience
- Master's degree or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Applied Mathematics, Statistics, or a related technical discipline.
- 8+ years of experience in AI/ML research, development, and deployment.
- Strong programming skills in Python and modern AI/ML frameworks.
- Demonstrated experience designing, building, and deploying AI/ML solutions in production environments.
- Experience working across the full lifecycle of AI product development, from research and experimentation through deployment and operationalization.
- Deep expertise in machine learning, deep learning, neural networks, transformer architectures, and foundation models.
- Extensive experience with generative AI technologies, including LLMs, fine-tuning, RAG systems, model evaluation, and inference optimization.
- Experience building and evaluating agentic AI systems, multi-agent workflows, AI orchestration frameworks, and autonomous decision-making architectures.
- Strong hands-on experience with PyTorch, Hugging Face, Langchain, LangGraph, or equivalent AI ecosystems.
- Demonstrated record of innovation through publications, patents, open-source contributions, conference presentations, or significant AI solution delivery.
- Experience developing AI solutions within highly regulated industries such as financial services, healthcare, insurance, or telecommunications.
- Strong communication skills and the ability to translate complex AI concepts into actionable business outcomes.
**The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.**
If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability 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 the E-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: $149,515.00 - $175,900.00
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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Benefits
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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