Wavess is a predictive AI platform on a mission to bring clarity to modern marketing.
We're early-stage, fast-moving, and unapologetically focused on building tools that marketers actually need, not dashboards they’ll ignore. You’ll work directly with the founder, shape real product features, and see your code translate into customer value from day one.
Type: Internship
Location: Remote
Commitment: ~30-35 hours/week
Ideal for: Master’s students in Computer Science, Data Science, or AI/ML fields
Languages: English
Please note: this intnernship is unpaid.
Tasks
What You’ll Work On
As our technical intern, you’ll work hands-on across core areas of our early product stack. That includes:
- Developing and improving lightweight internal tools and early-stage user-facing features
- Working with APIs, web scraping, and data pipelines to extract and clean market or behavioral data
- Experimenting with LLMs (OpenAI, Anthropic) to turn messy input into structured insights
- Rapid prototyping with frameworks like Streamlit, Gradio, or Flask
You’ll work closely with the founding team, co-create technical direction, and get full context on why we’re building what we’re building.
Requirements
Tech Stack We Use
You don’t need to know everything listed — but familiarity with some of these will help:
- Python, React, Pandas, BeautifulSoup or Selenium
- Streamlit or Gradio
- OpenAI API, LangChain, function-calling
- Airtable, Notion API, lightweight database usage
- Basic front-end (HTML/CSS/JS) is a plus
Who You Are
- Enrolled in a Master’s program (CS, Data, AI/ML, or related)
- Comfortable working independently and figuring things out
- Strong communicator: you can ask for help when needed
- Genuinely interested in B2B tech, SaaS, or startup ecosystems
- Bonus: You’ve shipped your own side project or built an MVP
Benefits
What You’ll Gain
- Experience building products from zero, not just maintaining code
- Exposure to real customer problems, not theoretical ones
- A founder-level view on product, growth, and execution
- A strong reference, and potential to transition into a paid role as we grow
- Option to lead tech modules if you stay longer or want to scale with the company
A Note on Payment
This is currently an unpaid role. We’re focused on validating and monetizing core features and the first revenue we unlock goes to the people building it.
If we hit early success (consulting deals, paid pilots, SaaS modules), we plan to convert the role into a paid student position or freelance contract.
We don’t care about fancy résumés. We care about curiosity, initiative, and how you think.