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Internship Ai Computer Science Jobs (NOW HIRING)

Meta

Computer Vision Engineer

Bellevue, WA

$154K/yr

This role collaborates with cross-functional teams on image simulation, core AI, computer graphics ... Contribute to recruitment, mentoring, onboarding, and growing ML engineers/scientists, interns, and ...

Meta

Computer Vision Engineer

Menlo Park, CA

$154K/yr

This role collaborates with cross-functional teams on image simulation, core AI, computer graphics ... Contribute to recruitment, mentoring, onboarding, and growing ML engineers/scientists, interns, and ...

Meta

Computer Vision Engineer

Burlingame, CA

$154K/yr

This role collaborates with cross-functional teams on image simulation, core AI, computer graphics ... Contribute to recruitment, mentoring, onboarding, and growing ML engineers/scientists, interns, and ...

Meta

Computer Vision Engineer

New York, NY

$154K/yr

This role collaborates with cross-functional teams on image simulation, core AI, computer graphics ... Contribute to recruitment, mentoring, onboarding, and growing ML engineers/scientists, interns, and ...

Asurion

REQUIRED EDUCATION & EXPERIENCE Advanced degree in Computer Science, AI, Machine Learning, Statistics, or related field, or equivalent experience. 12+ years leading applied AI, machine learning, or ...

Adobe

Senior Computer Scientist

San Jose, CA

S., or PhD degree in Computer Science or a related field. * Experience with computer vision, computational photography, and/or modern AI applied to these fields. * An interest in applying your skills ...

Adobe, Inc.

Senior Computer Scientist

San Jose, CA · On-site

S., or PhD degree in Computer Science or a related field. * Experience with computer vision, computational photography, and/or modern AI applied to these fields. * An interest in applying your skills ...

Atomic Machines

AI CAD Engineer

Emeryville, CA · On-site +1

$210K - $260K/yr

You'll collaborate closely with our AI, Modeling & Simulation, and Design teams to build systems ... Computer Science, or a related field. * For Staff level, 10+ years of industrial experience (post ...

Atomic Machines

AI CAD Engineer

Emeryville, CA · On-site +1

You'll collaborate closely with our AI, Modeling & Simulation, and Design teams to build systems ... Computer Science, or a related field. * For Staff level, 10+ years of industrial experience (post ...

Atomic Machines

AI CAD Engineer

Emeryville, CA · On-site

$210K - $260K/yr

You'll collaborate closely with our AI, Modeling & Simulation, and Design teams to build systems ... Computer Science, or a related field. * For Staff level, 10+ years of industrial experience (post ...

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Internship Ai Computer Science information

What is an AI Computer Science internship?

An AI Computer Science internship is a temporary position for students or recent graduates to gain hands-on experience working with artificial intelligence technologies and computer science concepts. Interns typically work on real-world projects involving machine learning, data analysis, programming, and algorithm development. These internships help build practical skills, expand professional networks, and often serve as a stepping stone to full-time jobs in the tech industry.

What are the key skills and qualifications needed to thrive as an AI Computer Science intern?

To thrive as an AI Computer Science Intern, you need a solid understanding of programming languages (such as Python or Java), data structures, algorithms, and foundational AI concepts, typically supported by ongoing or completed studies in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), version control systems (such as Git), and data analysis tools is highly beneficial. Strong problem-solving abilities, eagerness to learn, and effective teamwork and communication skills help interns stand out. These skills and qualities are crucial for contributing to complex AI projects, adapting to new technologies, and collaborating effectively within technical teams.

What types of projects can I expect to work on during an AI Computer Science internship?

As an AI Computer Science intern, you can expect to work on projects such as developing machine learning models, analyzing large datasets, assisting with algorithm optimization, or contributing to research on natural language processing or computer vision. Interns often collaborate with cross-functional teams including data scientists, software engineers, and product managers. The work environment is typically fast-paced and encourages learning, experimentation, and regular feedback. You'll have opportunities to present your findings, participate in code reviews, and attend team meetings, helping you build both technical and professional skills.
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Internship Ai Computer Science jobs near you
Infographic showing various Internship Ai Computer Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution.

Part-time Faculty, PhD Computer Science

National University

Remote

$26.63 - $28.89/hr

Part-time

Re-posted 14 days ago

Job description

Compensation Range:
Hourly: $26.63 - $28.89
National University - San Diego, California
Part-time Faculty: PhD Computer Science
Location: Remote, CA
National University is a veteran-founded, San Diego-based nonprofit. Since 1971, our mission has been to provide accessible higher education to adult learners. Today, we educate a diverse student body from across the U.S. and around the globe, with more than 230,000 alumni worldwide. Our three schools and three colleges offer more than 200 accredited and licensed graduate and undergraduate programs. National University holds accreditation through the Western Senior College and Universities Commission (WSCUC).
Position Summary
The Department of Engineering, Data and Computer Sciences, in the College of Business, Engineering and Technology at the National University invites applications for part-time faculty with a specialization in Computer Science. The successful candidate will have a demonstrated record of or potential for excellence in teaching in their field and a commitment to serving the university's diverse adult student body. The successful candidate will have the potential for a commitment to serving the university's diverse adult student body. This position primarily works closely with the Academic Program Director and other faculty within the program and contributes to ensuring program quality, student engagement, and success.
Essential Job Duties:
  • Provide substantive, timely feedback to students on various assessment activities.
  • Maintain a positive, safe, inclusive student-centric learning environment.
  • Complete required tasks on deadlines (e.g., final grades, assessment, grading rubrics, input for grade appeals, etc.)
  • Maintain appropriate professional training and/or scholarly activities, when applicable.
  • Provide feedback to the course lead regarding the course content.
  • Identify at-risk students and collaborate with student services.

Qualifications:
Required:
  • Ph.D. in the field of computer science or computer engineering from a regionally accredited university required.
  • A strong background in any of the following areas required:
    • Advanced Artificial Intelligence and Machine Learning (e.g., deep learning, reinforcement learning, natural language processing, large-scale AI systems)
    • Data Systems and Data Engineering (e.g., database systems, distributed data systems, large-scale data processing, data-intensive applications)
    • Systems and Distributed Computing (e.g., operating systems, distributed systems, parallel computing, cloud and scalable systems)
    • Networking and Networked Systems (e.g., computer networks, distributed networking, modern communication systems)
    • Software Engineering and Programming Systems (e.g., programming languages, systems programming, software design and architecture)
    • Emerging areas aligned with computer science research (e.g., IoT systems, scalable platforms, trustworthy AI, quantum computing)

Preferred:
  • 3+ years of higher education teaching experience preferred.
  • Experience teaching at the doctoral level, contributing to course development, and serving on dissertation committees preferred.

For full consideration, interested candidates should provide the following.
  • A cover letter.
  • A curriculum vita.
  • Statement of teaching experience online and/or onsite for a diverse student body.

Candidate receiving offers will be offered a salary/pay rate commensurate with experience that vary based on a candidate's qualifications, skills, and competencies. Absent exceptional circumstances, candidates will be offered a salary within this range for this position. Base pay is one component of National University's total rewards package, as we are dedicated to supporting the needs of the "whole you" with our holistic approach to employee benefits by offering comprehensive well-being benefits for you and your family. For full details about our benefit plan offerings, please visit benefits.nu.edu. For part-time positions, please click here.
National University is proud to be an equal opportunity employer and does not discriminate against any employee or applicant per applicable federal, state and local laws. At NU, a mix of highly talented, innovative, and creative people come together to make the impact of a lifetime for each of our student learners. All qualified applicants will receive equal consideration for employment, education, and admission at National University.

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