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AI Research Marketing Intern - Summer

Remote / Online - Candidates ideally in
San Francisco, San Francisco County, California, 94199, USA
Listing for: Lambda Inc.
Seasonal/Temporary, Apprenticeship/Internship, Remote/Work from Home position
Listed on 2026-06-07
Job specializations:
  • Software Development
    AI Engineer
Salary/Wage Range or Industry Benchmark: 20 - 30 USD Hourly USD 20.00 30.00 HOUR
Job Description & How to Apply Below
Position: AI Research Marketing Intern - Summer 2026

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

* Note:

This position requires presence in our San Francisco office location 4 days per week;
Lambda’s designated work from home day is currently Tuesday.

Lambda's research team is doing work that matters in AI and not enough people know about it yet. That's where you come in. As our AI Research Marketing Intern, you'll own the strategy for how Lambda’s research reaches the world: defining what we say, where we say it, and why it lands. You'll storyboard and edit original content, dig into channel data to make the case for what deserves investment, and use AI tooling to move fast and iterate.

If you're the kind of person who reads ML papers and also has opinions about retention curves, we want to talk.

What You’ll Do
  • Define the social media strategy for Lambda’s research program
  • Help build the Lambda story through amplifying our voice in research
  • Storyboard marketing content relating to AI/ML research
  • Edit short form and long form videos to be posted on Lambda accounts
  • Provide data‑driven arguments for why a certain channel or type of content deserves more investment
  • Use AI to increase efficiency in planning, analysis, and quick iteration
You
  • Currently pursuing a Bachelor’s or Master’s in Marketing, Film production, Data science, or related field.
  • Interested in AI/ML research
  • Enthusiastic about planning and laying the groundwork for content
  • Comfortable learning new concepts, quickly
Nice to Have
  • Prior marketing internship experience
  • Direct AI/ML engineering experience
  • Familiar with AI research conferences
Salary Range Information

This is an hourly role, eligible for overtime. The hourly rate for this position has been set based on market data and other factors. However, a hourly rate higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda
  • Founded in 2012, with 500+ employees, and growing fast
  • Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
  • We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
  • Our values are publicly available: (Use the "Apply for this Job" box below)./careers
  • We offer generous cash & equity compensation
  • Health, dental, and vision coverage for you and your dependents
  • Wellness and commuter stipends for select roles
  • 401k Plan with 2% company match (USA employees)
  • Flexible paid time off plan that we all actually use
A Final

Note:

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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