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Phd Statistics Internship Jobs (NOW HIRING)

Docugami

Data Science PhD Intern

Kirkland, WA

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ... learning, computer vision, statistics, causal inference, and other related disciplines

Docugami

Data Science PhD Intern

Kirkland, WA · On-site

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ... learning, computer vision, statistics, causal inference, and other related disciplines

ASM

Senior Engineer I, Field Process

Hillsboro, OR

MS degree with relevant internship, research, or academic project experience, or PhD with relevant ... Experience designing, running, and interpreting DOEs or statistical experiments in academic ...

Kodiak

Fall 2026 Intern, Data Science

Mountain View, CA · On-site

Qualifications: * BS, MS or PhD in Computer Science, Statistics, Operations Research or related ... Internship experience using machine learning or statistical analysis to build data-driven product ...

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How much do phd statistics internship jobs pay per hour?

As of May 30, 2026, the average hourly pay for phd statistics internship in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is a PhD Statistics Internship job?

A PhD Statistics Internship is a temporary, research-focused position designed for doctoral students specializing in statistics or related fields. Interns work on data analysis, machine learning, or statistical modeling projects, often collaborating with researchers and industry professionals. These internships provide hands-on experience applying statistical methods to real-world problems, enhancing both technical and analytical skills. They can be in academia, government, or industry settings, such as technology, healthcare, or finance.

What are the key skills and qualifications needed to thrive in the Phd Statistics Internship position, and why are they important?

To thrive as a PhD Statistics Intern, you need advanced training in statistical theory, data analysis, and research methodology, typically evidenced by ongoing doctoral studies in statistics or a related field. Familiarity with statistical software such as R, Python, SAS, or MATLAB, and experience with data visualization and database management platforms, are important technical assets. Strong analytical thinking, attention to detail, effective communication skills, and the ability to collaborate within multidisciplinary teams are important soft skills. These competencies are essential for effectively analyzing complex data, generating insights, and contributing to impactful research projects in a professional setting.

What types of projects or research topics do PhD Statistics Interns typically work on during their internship?

PhD Statistics Interns are often assigned to projects that involve analyzing large datasets, developing or improving statistical models, and providing insights for data-driven decision-making. These projects can span a range of industries, including healthcare, finance, technology, or public policy, and may address real-world problems such as predictive modeling, experimental design, or survey analysis. Interns typically work closely with senior statisticians and cross-functional teams, allowing for hands-on experience and professional mentoring. The variety of projects helps interns build practical skills and expand their expertise, often contributing to publishable research or product development.
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Phd Statistics Internship jobs near you
Infographic showing various Phd Statistics Internship job openings in the United States as of May 2026, with employment types broken down into 71% Full Time, and 29% Part Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.
Research Scientist Intern PhD, Applied Research

Research Scientist Intern PhD, Applied Research

Meta

Menlo Park, CA

Internship

Posted 12 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

117th of 183 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 Meta offers countless ways to make an impact in a fast growing organization.Meta is seeking Research Interns to join our Products and Applied Research team. We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern PhD, Applied Research Responsibilities:
  • Develop novel state-of-the-art generative AI algorithms and corresponding systems, leveraging various deep learning techniques
  • Help analyze and improve safety and robustness of corresponding deployed algorithms based on the project
  • Perform research to advance the science and technology of intelligent machines
  • Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results
  • Disseminate research results
  • 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, Audio Processing, Artificial Intelligence, Generative AI, or relevant technical field
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
  • Research experience in machine learning, deep learning, computer vision and/or natural language processing
  • Experience with Python, C++, C, Java or other related languages
  • Experience with deep learning frameworks such as Pytorch or Tensorflow

Preferred Qualifications:
  • Intent to return to the 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 first-authored publications at leading workshops or conferences such as NeurIPS, ICLR, AAAI, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, or similar
  • Experience working and communicating cross functionally in a team environment
  • 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 analyzing 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 with explainable AI methods and topics around LLM safety alignment
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)

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 $12,134/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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