About the Role

We’re looking for a motivated Machine Learning Engineering Intern to support the development of our intelligent task execution engine. You’ll be working at the intersection of backend engineering and applied machine learning, helping us test and optimize how our system performs across hundreds of real-world tasks.

Who You Are

• A current student or recent graduate in Computer Science, AI, or related field.
• Comfortable working with Python and tools like Jupyter, REST APIs, and basic CLI scripting.
• Curious about how LLMs, agentic workflows, and backend systems interact.
• Organized and detail-oriented, especially when handling repetitive test cases.
• Eager to learn from experienced engineers and contribute to an ambitious AI product.

Bonus Skills (Not Required)

• Familiarity with tools like LangChain, Playwright, HuggingFace, or OpenAI APIs.
• Experience with task automation or browser scripting.
• Knowledge of prompt engineering or LLM evaluation techniques.

What You’ll Gain

• Deep exposure to how AI agents work in production.
• Mentorship from senior engineers
• Experience with real-world task automation, ML evaluation, and product building.
• Opportunity to grow into a long-term role if there's a fit.
• Letter of recommendation and resume support upon successful completion.