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Internship Marketing Phd Jobs (NOW HIRING)

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 ... marketing experience * Vibrant and inclusive company culture with frequent team-building events ...

KLA Corporation

Product Marketing Manager

Milpitas, CA

$137K - $232K/yr

Minimum Qualifications PhD level degree and 3 years experience, Master's Level Degree and work ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

The Pennsylvania State University

MS and PhD students must have approval from their advisors to join the OTM internship program ... marketing purposes (i.e., clearly and concisely conveying "take-home messages" to describe Penn ...

KLA

Product Marketing Manager

Milpitas, CA · On-site

$137K - $232K/yr

Minimum Qualifications PhD level degree and 3 years experience, Master's Level Degree and work ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

KLA Corporation

Product Marketing Manager

Milpitas, CA · On-site

$137K - $232K/yr

Minimum Qualifications PhD level degree and 3 years experience, Master's Level Degree and work ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

Orbotech

Product Marketing Manager

Milpitas, CA · On-site

$137K - $232K/yr

Minimum Qualifications PhD level degree and 3 years experience, Master's Level Degree and work ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

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Internship Marketing Phd information

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How much do internship marketing phd jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for internship marketing phd in the United States is $17.08, 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 an internship marketing PhD?

Internship Marketing PhD positions are specialized internship opportunities designed for doctoral students who are studying marketing or a closely related field. These internships allow PhD candidates to gain practical experience by working on real-world marketing research projects, data analysis, or academic collaborations, often within universities, research institutions, or corporate settings. The experience provides valuable insights into both academic and industry practices, helping students enhance their research skills, expand their professional network, and improve their career prospects after graduation.

How does an internship marketing PhD position support collaboration between academic research and real-world marketing teams?

Internship Marketing PhD roles often serve as a bridge between cutting-edge academic research and practical marketing strategies. Interns collaborate closely with both research and marketing teams, translating theoretical insights into actionable campaigns or data-driven strategies. This hands-on experience enables interns to apply advanced analytical methods, while also learning how to communicate complex ideas to non-academic stakeholders. The collaborative environment not only enhances professional skills but can also open up future opportunities in both academia and industry.

What are the key skills and qualifications needed to thrive as an internship marketing PhD, and why are they important?

To excel as an Internship Marketing PhD, you need advanced research and analytical skills, in-depth marketing knowledge, and enrollment in or completion of a PhD program in marketing or a related field. Experience with data analysis tools (such as SPSS, R, or Python), digital marketing platforms, and familiarity with academic publishing are often expected. Strong communication, collaboration, and critical thinking skills help you present findings clearly and work effectively within diverse teams. These competencies enable impactful contributions to marketing research projects and bridge academic insights with practical business applications.
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Internship Marketing Phd jobs near you
Infographic showing various Internship Marketing Phd job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 90% Full Time, 8% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $35,518 per year, or $17.1 per hour.

Data Science PhD Intern

Docugami

Kirkland, WA • On-site

Internship

Re-posted 20 days ago

Job description

Docugami uses powerful artificial intelligence to unlock the information contained in highly varied, unstructured business documents. Business users, without IT or development projects, can immediately create custom analysis of vital document content and information from large batches of contracts, can assist users in creating new documents more efficiently and consistently, and can automatically connect information from within documents to other business systems.
Docugami started with years of R&D, and has received a $10M seed round of VC funding as well as multiple endorsements from industry leaders and publications. The founders are seasoned ex-Microsoft engineers and leaders, some already well known in the software industry for their record of building and running $1B+ innovative software product businesses.
We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking for exceptional researchers to work with our luminary science advisers on major scientific breakthroughs.
You will love this job if:
  • You love solving really challenging problems
  • You seek opportunities to see your research deployed in practice to solve real world problems
  • You enjoy working at the very cutting edge of R&D
  • You want to experience an early stage startup

What you'll be responsible for:
  • Researching and proposing solutions to the different science problems in an evolving environment
  • Collaborating with engineering and product leadership to prioritize a long-term roadmap of science breakthroughs
  • Working with the engineering team who will be responsible for integrating and deploying your work in production
  • Conducting regular internal science reviews

What we look for in a candidate:
  • Pursuing a PhD in artificial intelligence, natural language processing, machine learning, data science, or math
  • Experience or strong interest in any of the following: natural language processing, machine translation, self-supervised learning, active learning, computer vision, statistics, causal inference, and other related disciplines
  • Programming skills and familiarity of modern ML frameworks
  • Strong problem-solving and time management skills
  • Strong communication skills and capacity to report and disseminate results
  • Passion for scientific and technical excellence

Perks:
  • Competitive pay
  • Healthy snacks stipend
  • Work closely with a cross-functional team of highly motivated folks with a unique range of startup, big enterprise, scientific, engineering, sales & marketing experience
  • Vibrant and inclusive company culture with frequent team-building events

About Us:
Docugami is a Seattle-area document engineering startup that transforms how businesses create and manage documents for greater productivity, compliance, and insight using breakthrough artificial intelligence. Founded in March 2018 by former senior engineering leaders from Microsoft, Docugami harnesses a wide range of artificial intelligence techniques, including natural language processing, image recognition, declarative markup, and other approaches, to enable businesses of all sizes to radically improve how they create and manage documents for greater insight, efficiency, and business impact.
Learn more at www.docugami.com
We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to an inclusive and diverse team.

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