Machine Learning Engineer Intern at Quickchat AI (S18)
$24K - $36K  •  
Conversation Design platform to build Al Assistants tailored to your business
Warsaw, Masovian Voivodeship, PL
Internship
About Quickchat AI

We make conversational AI. Sounds futuristic? Good. Our customers are people who live in the future and are among the first to have AI Assistants as part of their everyday life.

We are focused on learning and growth. In a field that is moving so fast what is state of the art today might be outdated a year from now. By that time, we may need you to become an expert in a field that doesn’t exist yet.

This will be nothing like your previous job. We pay you to learn and be creative. We want to hear about your ideas and work together to make them happen. You will take ownership of ambitious projects and likely work on things that have never been done before.

We are looking for exceptional candidates to join our Business and Technology teams in Warsaw, Poland or remotely.

About the role
Skills: Python, Machine Learning, Natural Language Processing

Join our Technology team to build consumer products and business solutions on top of state of the art language models like OpenAI's GPT. From day one, you will take ownership and contribute to key parts of our technology.

We live and breathe Machine Learning. We love Python, Linux and Git. We tolerate JavaScript, CSS, even React Native at times.

What we look for:

  • Basic coding skills with a quick learner attitude
  • Deep understanding of Machine Learning theory and practice
  • Technical fluency in English
  • Great communication skills

Bonus points for:

  • Kaggle competitions (walk me through your solution!)
  • Interesting side projects (we will ask a lot of questions about them!)
  • Deeply technical interests other than software / Machine Learning
  • Experience training classification models for extremely imbalanced classes
  • Reading machine learning papers in your spare time (share your favourites!)
  • A story about how you spent 3 days debugging something and finally found a solution
Technology

We build conversational AI on top of large language models such as GPT-3. Currently, out tech stack is Nginx, Python, classic HTML+JS SPA, React (mobile apps).

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