Hiring.Camp

AI Scientist - Digital Transformation

Wustl

·

Today

Salary
$75k – $129k
Location
Sever Hall, United States of America
Workplace
Onsite
Type
Full-time
Department
IT
Experience
2+ years
Education
PhD
Source
Workday

Description

Location

ST. LOUIS, MO 63130

Scheduled Hours

37.5

Position Summary

Design research protocols. Assist in developing and conducting research projects, including experiment design, data analysis and software development. Partner with cross-disciplinary researchers to design, prototype, and operationalize AI solutions that advance funded research and scholarly impact. Build industry collaborations to introduce state-of-the-art AI tools, accelerating technology transfer and hands-on learning opportunities. Design and deploy high-performance AI systems using GPUs and hardware accelerators.

Job Description

Primary Duties & Responsibilities:

  • Following instructions and discussions with the principal investigator, designs research protocols, including developing procedures for the collection, verification and management of data.
  • Designs and deploys high-performance AI systems using GPUs and hardware accelerators for research.
  • Performs software development tasks as needed to support research.
  • Documents research topics. Prepares and submits papers based on research work to publications and committees for publication or presentation to peers. Stays abreast of developments in AI, machine learning and high performance computing.
  • Conducts literature searches related to research project.
  • Performs other duties as assigned.

The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time.

Required Qualifications

Education:

Master’s degree or combination of education and/or experience may substitute for minimum education.


Certifications/Professional Licenses:

No specific certification/professional license is required for this position.


Work Experience:

Relevant Experience (2 Years)


Skills:

Not Applicable


Driver's License:

A driver's license is not required for this position.

More About This Job

Preferred Qualifications:

  • Master’s degree, or combination of education and/or experience may substitute for minimum education. 
  • 2 Years of experience in AI Research.
  • PhD.

Preferred Qualifications

Education:

PhD or terminal degree or combination of education and experience may substitute for minimum education.


Certifications/Professional Licenses:

No additional certification/professional licenses unless stated elsewhere in the job posting.


Work Experience:

No additional work experience unless stated elsewhere in the job posting.

Skills:

Artificial Intelligence (AI), Communication, Data Science, Deep Learning, Machine Learning (ML), Reinforcement Learning, Researching, Research Projects, Statistical Models, Teamwork, Technical Writing, Written Communication

Grade

G14

Salary Range

$75,200.00 - $128,800.00 / Annually

The salary range reflects base salaries paid for positions in a given job grade across the University. Individual rates within the range will be determined by factors including one's qualifications and performance, equity with others in the department, market rates for positions within the same grade and department budget.

Questions

For frequently asked questions about the application process, please refer to our External Applicant FAQ.

Accommodation

If you are unable to use our online application system and would like an accommodation, please email [email protected] or call the dedicated accommodation inquiry number at 314-935-1149 and leave a voicemail with the nature of your request.

All qualified individuals must be able to perform the essential functions of the position satisfactorily and, if requested, reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of their job, absent undue hardship.

Pre-Employment Screening

All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.

Benefits Statement

Personal

  • Up to 22 days of vacation, 10 recognized holidays, and sick time.

  • Competitive health insurance packages with priority appointments and lower copays/coinsurance.

  • Take advantage of our free Metro transit U-Pass for eligible employees.

  • WashU provides eligible employees with a defined contribution (403(b)) Retirement Savings Plan, which combines employee contributions and university contributions starting at 7%.

Wellness

  • Wellness challenges, annual health screenings, mental health resources, mindfulness programs and courses, employee assistance program (EAP), financial resources, access to dietitians, and more!

Family

  • We offer 4 weeks of caregiver leave to bond with your new child. Family care resources are also available for your continued childcare needs. Need adult care? We’ve got you covered.

  • WashU covers the cost of tuition for you and your family, including dependent undergraduate-level college tuition up to 100% at WashU and 40% elsewhere after seven years with us.

For policies, detailed benefits, and eligibility, please visit: https://hr.wustl.edu/benefits/

EEO Statement

Washington University in St. Louis is committed to the principles and practices of equal employment opportunity. It is the University’s policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, citizenship (where prohibited by federal law), age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information.

Skills

Machine LearningDeep LearningData ScienceTechnical Writing

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