Generative Ai Physics Jobs in Arizona (NOW HIRING)

Required Qualifications:

• 4+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

• Bachelor's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science

Desired Qualifications:

• A PhD in statistics, computer science, optimization, electrical engineering, or a related quantitative discipline.

• In-depth knowledge of Machine Learning (ML) methodologies such as ensemble algorithms, neural networks, supervised and unsupervised learning.

• In-depth knowledge of Natural Language Processing concepts including transformer architecture and other generative AI technologies.

• Strong computing and programming background and knowledge of one or more languages such as Python and Java

• Experience with ML/AI computing platforms and tools such as PyTorch, TensorFlow and Keras

• Experience with GPU programming, multi-core, or distributed programming.

• Excellent writing and communication skills for documentation and presentations to audiences of all technical backgrounds.

• Ability to work in cross-organizational projects and collaboratively with other groups.

• Be self- motivated, require minimal supervision, and produce work that is consistent with MRM's recognized framework, procedure, and high standards.

• Proficient with MRM framework and procedure.

Job Expectations:

• Ability to travel up to 15% of the time.

• This position offers a hybrid work schedule.

• Willingness to work onsite at stated location on the job posting.

• This position is eligible for VISA sponsorship.

Job Posting Locations:

• Three Wells Fargo Center, CHARLOTTE, NC

• 600 Wells Fargo, MINNEAPOLIS, MN

• Las Colinas Bldg B, Irving Campus, IRVING, TX

• West Des Moines Campus, 800 S Jordan Creek Pkwy, WEST DES MOINES, IA

• D Building,114N Beaumont St -D Bldg., SAINT LOUIS, MO

• 1150 W Washington, TEMPE, AZ

• 333 Market, SAN FRANCISCO, CA

Pay Range

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

Posting End Date:

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visitDisability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.