AI Research Marketing Intern
Lambda
AI Research Marketing Intern
Lambda
Cloud-based GPU services for AI training
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: https://lambda.ai/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
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.
Lambda Labs provides cloud-based GPU services for AI training and inference via its AI Developer Cloud, powered by NVIDIA GH200 Grace Hopper hardware to efficiently train large language models and generative AI. Customers access on-demand or reserved GPUs and are billed by the hour (for example, NVIDIA H100 at about $1.99/hour); it also offers Lambda Echelon, where clients own infrastructure but pay a monthly hosting and support fee, and Lambda Stack, a software suite that helps ML teams install and upgrade tools like PyTorch, TensorFlow, CUDA, cuDNN, and NVIDIA drivers. The company differentiates itself through competitive pricing, available high-end hardware, and an integrated ML software stack that streamlines workflows. Its goal is to enable scalable, affordable AI development and deployment by providing flexible GPU access, reliable hosting, and easy software deployment for teams working with large models.
Explore more opportunities at Lambda