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Applied Scientist Intern Jobs (NOW HIRING)

NCSU

LAS Intern

Raleigh, NC

$13 - $17.50/hr

... intern to complete research in the areas of interest to LAS ... Potential areas of research include but are not limited to: social sciences, applied sciences and ...

Alinia AI

Applied AI Research Intern

Applied AI Research Intern We are an early-stage AI startup on a mission to enable the safe and ... This role demands a scientific mindset, a technical understanding of LLMs, and LLM development ...

Evolver

Applied Data Science Intern

Palo Alto, CA

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

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Applied Scientist Intern information

What does an applied scientist intern do?

An Applied Scientist Intern typically works on real-world problems by applying scientific methods, machine learning, data analysis, and programming skills. They collaborate with engineers and researchers to develop and test models or algorithms that solve business or technical challenges. Interns may also help collect and analyze data, run experiments, and document their findings. This role provides hands-on experience in both research and practical implementation, often in fields like artificial intelligence, data science, or computer vision.

What types of projects does an applied scientist intern typically work on, and how are these projects structured within the team?

Applied Scientist Interns often work on data-driven projects that involve developing and testing machine learning models, conducting experiments, and analyzing large datasets to solve real business problems. These projects are usually well-defined and aligned with ongoing team objectives, but interns are encouraged to contribute their own ideas and approach. Interns regularly collaborate with experienced scientists, software engineers, and product managers, receiving mentorship and feedback throughout the process. Project milestones and deliverables are often set at the beginning of the internship to ensure clear expectations and measurable outcomes.

What are the key skills and qualifications needed to thrive as an applied scientist intern, and why are they important?

To thrive as an Applied Scientist Intern, you generally need a solid background in mathematics, statistics, and computer science, often supported by progress toward a relevant degree such as computer science, data science, or a related field. Familiarity with programming languages like Python or R, experience with machine learning frameworks such as TensorFlow or PyTorch, and knowledge of data analysis tools are typically expected. Strong analytical thinking, curiosity, and effective communication skills help interns collaborate on research projects and present findings. These skills are crucial for contributing meaningful insights, building practical solutions, and working effectively within a multidisciplinary team.
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Infographic showing various Applied Scientist Intern job openings in the United States as of August 2026, with employment types broken down into 13% Internship, 67% Full Time, and 20% Part Time. Highlights an 80% In-person, and 20% Remote job distribution.

Research Scientist Intern, Monetization Computer Vision (PhD)

Meta

Menlo Park, CA

$7.6K - $12K/mo

Internship

Posted 28 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

135th of 242 rated software companies

Job description

Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Facebook offers countless ways to make an impact in a fast growing organization.Meta is seeking Research Interns to join the Monetization Generative AI team. We are committed to advancing the field of generative AI by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as generative AI, deep learning, computer vision and natural language processing. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.Our team at Meta AI offers twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year.
Research Scientist Intern, Monetization Computer Vision (PhD) Responsibilities:
  • Conduct research to advance the science and technology of generative AI.
  • Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities).
  • Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
  • Devise data-driven models of image generation and text generation.
  • Publish research results and contribute to research that can be applied to Meta product development.

Minimum Qualifications:
  • Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Computer Vision, Artificial Intelligence, or relevant technical field
  • Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
  • Experience in C, C++, Python, Java, or other related programming language
  • Experience building systems based on machine learning and/or deep learning methods

Preferred Qualifications:
  • Intent to return to degree-program after the completion of the internship/co-op
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, and ACL
  • Experience with Generative AI, including diffusion models and LLM’s
  • Background in advancing AI techniques in computer vision, including core contributions to open source libraries and frameworks in computer vision
  • Publications or experience in machine learning, AI, computer vision, optimization, computer science, statistics, applied mathematics, or data science
  • Experience solving analytical problems using quantitative approaches
  • Experience setting up ML experiments and analyze their results
  • Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
  • Experience in utilizing theoretical and empirical research to solve problems
  • Experience working and communicating cross functionally in a team environment

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$7,650/month to $12,667/month + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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