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Computer Science Artificial Intelligence Jobs in Memphis, TN

Principal Computational Engineer

Memphis, TN · On-site

$114.40 - $216.32/hr

... artificial intelligence and machine learning platforms, and advanced data management systems. The ... Master's degree in computer science, data science, information science, mathematics, or a related ...

New

Robotics Tutor

Memphis, TN · Remote

$18 - $40/hr

Emphasizes iterative design and engineering problem-solving and connects robotics to mechanical engineering, computer science, and artificial intelligence applications. * Curriculum Awareness ...

Oracle Tech Cloud Senior Consultant

Memphis, TN · On-site

$61.75 - $77.75/hr

Bachelor's degree or higher in Computer Science, Information Technology, Software Engineering, or a ... Experience implementing or developing embedded artificial intelligence agents within Oracle ERP ...

Showing results 41-60

Computer Science Artificial Intelligence information

See Memphis, TN salary details

$44.5K

$98.2K

$121.2K

How much do computer science artificial intelligence jobs pay per year?

As of Aug 21, 2026, the average yearly pay for computer science artificial intelligence in Memphis, TN is $98,170.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,300.00 and $120,800.00 per year, depending on experience, location, and employer.

What is a computer science artificial intelligence?

A Computer Science Artificial Intelligence (AI) job involves developing, implementing, and improving AI technologies using machine learning, deep learning, and data analysis techniques. Professionals in this field work on algorithms, automation, and intelligent systems that can solve complex problems across industries like healthcare, finance, and robotics. Roles may include AI engineer, data scientist, or machine learning specialist, requiring strong programming skills in languages like Python and knowledge of AI frameworks.

What does a typical day look like for someone working in computer science artificial intelligence?

A typical day in a Computer Science Artificial Intelligence role often involves researching and developing new models, collaborating with data scientists and software engineers, and testing or optimizing machine learning algorithms. You may spend a significant amount of time analyzing datasets, building prototypes, and reviewing code, as well as meeting with multidisciplinary teams to align on project goals. The role is dynamic, with a mixture of individual problem-solving and group brainstorming to tackle complex challenges. This variety ensures continual learning and hands-on interaction with the latest technological advancements in artificial intelligence.

What are the key skills and qualifications needed to thrive in computer science artificial intelligence, and why are they important?

To thrive in a Computer Science Artificial Intelligence role, you need strong programming skills (Python, Java, or C++), a solid understanding of machine learning algorithms, and typically at least a bachelor's degree in computer science or related fields. Hands-on experience with frameworks and tools like TensorFlow, PyTorch, Scikit-learn, and familiarity with cloud platforms is highly desirable, and certifications such as AWS Certified Machine Learning can be advantageous. Analytical thinking, problem-solving, teamwork, and effective communication are important soft skills for success in both independent and collaborative settings. These skills and qualifications enable professionals to design, implement, and deploy AI solutions that address real-world business challenges.

Can I get an artificial intelligence job with a computer science degree?

A computer science degree provides a strong foundation for artificial intelligence (AI) roles, which often require knowledge of programming languages like Python, machine learning algorithms, and data analysis. Many AI jobs also value practical experience, internships, and familiarity with tools such as TensorFlow or PyTorch.

What computer science artificial intelligence jobs are in high demand?

High-demand artificial intelligence jobs in computer science include AI engineer, machine learning engineer, data scientist, and research scientist. These roles often require skills in programming languages like Python, knowledge of deep learning frameworks, and experience with large datasets, with industries such as tech, healthcare, finance, and autonomous vehicles actively hiring for these positions.

What are the most commonly searched types of Computer Science Artificial Intelligence jobs in Memphis, TN?

The most popular types of Computer Science Artificial Intelligence jobs in Memphis, TN are:

What are popular job titles related to Computer Science Artificial Intelligence jobs in Memphis, TN?

For Computer Science Artificial Intelligence jobs in Memphis, TN, the most frequently searched job titles are:

What job categories do people searching Computer Science Artificial Intelligence jobs in Memphis, TN look for?

The top searched job categories for Computer Science Artificial Intelligence jobs in Memphis, TN are:

What cities near Memphis, TN are hiring for Computer Science Artificial Intelligence jobs?

Cities near Memphis, TN with the most Computer Science Artificial Intelligence job openings:

Infographic showing various Computer Science Artificial Intelligence job openings in Memphis, TN as of August 2026, with employment types broken down into 12% Internship, and 88% Full Time. Highlights an 100% In-person job distribution, with an average salary of $98,170 per year, or $47.2 per hour.

Faculty Position, Department of Radiology - Pediatric Body Radiology

Nature Careers

Memphis, TN • On-site

$285K - $357K/yr

Other

Re-posted 21 days ago


Job description

SJCRH
Position Overview:
St. Jude Children's Research Hospital invites applications for a full-time faculty position in the Department of Radiology for an ABR-certified or eligible radiologist with subspecialty training in Pediatric, Body, Chest, Abdominal, or Oncologic Radiology. The ideal candidate will be a clinician scientist whose career goals include both outstanding clinical service and innovative data science research that advances the field of pediatric oncologic and catastrophic disease imaging. Academic rank will be commensurate with experience and qualifications.
Our Mission and Vision:
The mission of St. Jude Radiology is to advance cures and understanding of pediatric cancer and catastrophic diseases through excellence in radiology research, innovation, clinical practice, education, and administration. Our vision is to lead the world in radiology for pediatric cancer and catastrophic diseases.
Department Overview:
The department is composed of seven sections: Body Radiology, Neuroradiology, Interventional Radiology, Nuclear Medicine, Intelligent Imaging Informatics (I3), Research, and Physics. The Body Radiology section focuses primarily on pediatric cancer imaging and also serves patients with hematologic, infectious, and rare neurologic diseases. Many of our patients are on clinical trials, providing rich opportunities for collaboration and for developing and validating imaging biomarkers and endpoints.
Clinician Scientists:
Clinician scientists at St. Jude are provided with exceptional support to build and sustain productive academic careers. Faculty on this track receive dedicated research time, typically 50% of their effort, along with full-time research staff (one, two, or three dedicated and permanent staff members for assistant, associate, and full members, respectively). Each clinician scientist is provided with a recurring research cost center (budget) that is renewed annually in perpetuity. In addition, faculty may receive a startup package (e.g., equipment or laboratory purchases) to launch their research lab. These resources are complemented by robust institutional support, including access to biostatistics, image processing, data science, software engineering, and grant-writing expertise. Clinician scientists are expected to obtain extramural funding, and our infrastructure is specifically designed to foster success in this area through mentorship, collaboration, and technical and administrative assistance.
Clinical:
Clinical responsibilities are manageable and designed to complement academic pursuits. The Body Radiology reading room is staffed by two radiologists on weekdays, with light call on evenings and weekends, taken from home and consisting mainly of peer review of teleradiology cases. There is no trauma or emergency room coverage and no intussusception reductions. The section supports a 3D and virtual reality (VR) imaging lab, a tumor metrics (response evaluation) lab, and receives assistance from three physicists who provide expertise across all imaging modalities. Body Radiologists interpret MRI, CT, ultrasound, DEXA, and radiographs, with optional opportunities to participate in cardiac MRI and nuclear imaging. We employ the latest imaging technologies, including four state-of-the-art MRI systems (a fifth planned for 2026) and a photon-counting CT scanner coming online in early 2026. For those with an interest in nuclear medicine, we have a dedicated cyclotron and an extended field-of-view PET/CT scanner, the first installed in a dedicated pediatric hospital in North America.
Artificial Intelligence:
The department is deeply engaged in advancing artificial intelligence (AI) and quantitative imaging to improve both patient care and research. Some clinician scientists are also members of Intelligent Imaging Informatics (I3), an expanding section that harnesses the power of imaging informatics and AI to accelerate research, clinical care, and translational efforts in pediatric radiology, advancing the St. Jude Mission. The Image Quantification and Artificial Intelligence (IQAI) Co-Laboratory is a dedicated research and development team for biomedical informatics and AI. This interdisciplinary team serves the Department of Radiology by building and maintaining the advanced data infrastructure that fuels faculty-led research, performing collaborative projects with clinicians and scientists and conducting core biomedical informatics research. The IQAI team recently developed a Radiology Data Center (RDC) for data science that supports de-identified radiologic and pathology data, electronic medical records, and other institutional datasets.
Research:
Research is at the core of the St. Jude mission, and the Department of Radiology offers an extraordinary ecosystem for investigator-initiated science. Faculty benefit from access to IQAI and the Radiology Data Center for data science and quantitative imaging research, as well as support from dedicated staff for grant writing, IRB management, clinical research coordinat ors , image processing , and biostatistics. Faculty are encouraged to pursue both independent and collaborative projects that leverage the department's integration with research programs in MRI and multimodal imaging, Molecular Imaging, Oncology, Surgery, Pathology, Data Science , Imaging Sciences, and St. Jude Global . Opportunities exist to develop novel imaging biomarkers and AI tools that impact patient care , clinical trial s , population science, and research . In addition to internal institutional funding opportunities, faculty are supported through mentorship and infrastructure aimed at securing extramural grants from agencies such as the NIH, foundations, and industry partners. This environment provides a powerful foundation for faculty to pursue transformative imaging research that directly impacts patient care, clinical trials, and global pediatric initiatives.
Education:
Education is an important component of our mission. Faculty have the opportunity to teach and mentor radiology fellows, radiology residents, medical students, graduate students, and postdoctoral fellows. St. Jude supports professional development by providing travel funds for faculty presentations at national and international conferences. The department hosts an annual international educational conference and a separate scientific symposium. In February 2026, St. Jude will co-host a Pediatric Oncologic Imaging Course with the Society for Pediatric Radiology (SPR). Faculty actively participate in institutional and national educational initiatives.
Compensation and Environment:
St. Jude is an Equal Opportunity Employer. St. Jude does not discriminate on the basis of race, national origin, sex, genetic information, age, religion, disability, sexual orientation, gender identity, transgender status, veteran's status or disabled veteran's status with respect to employment opportunities. All qualified applicants will be considered for employment. We value different perspectives and intellectual discourse. We are committed to building an intellectually diverse community.
Requirements:
Candidates must have an MD, DO or equivalent degree, be board certified or eligible by the American Board of Radiology and have experience in pediatric radiology or oncologic imaging. Applicants must qualify for medical licensure in the State of Tennessee.
To A pply :
Please submit a CV directly online at https://talent.stjude.org/careers :
For more information:
Andrew Smith, MD PhD
Chair of the Department Radiology and Body Radiologist
Endowed Chair of Diagnostic Imaging
St. Jude Children's Research Hospital
andrew.smith@stjude.org
St. Jude is an Equal Opportunity Employer
No Search Firms
St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.