Make is the leading visual platform for anyone to design, build, and automate anything—from tasks and workflows to apps and systems—without the need for coding skills. We are headquartered in the flourishing tech hub of Prague, Czech Republic, and our teams are spread across the USA, UK, Germany, France, Canada, India and Chile, among other locations.

Why do we love building Make (and why you might, too)?

We are developers and we take it for granted that we can solve pretty much anything by writing software. But what if someone is not a developer or doesn't have access to one? Chances are that they will end up doing the same boring tasks over and over, copy-pasting data from one place to another, wasting time on low-value work instead of doing something way more impactful.

With Make, we give anyone the opportunity to build powerful automations in a way that almost feels like a game. We give anyone a chance to experience the joy of building something that just works. And with the power of Artificial Intelligence and LLMs, we are ready to bring this experience to the next level.

The Role

As an AI Intern, you will be helping our AI team to deliver LLM-powered or traditional ML solutions that will enhance our product. We are working on projects such as AI Agents and Recommender Systems. You will closely work with product managers and software engineers within the product and engineering organization of Make and with AI/ML experts in the broader Celonis AI Group to build scalable and high quality AI/ML features and solutions for our customers. You may have the opportunity to conduct research on a specific topic and develop a proof-of-concept solution.

What you’ll do

• Design and implement various state-of-the-art LLM approaches
• Conduct research alongside our machine learning engineers
• Integrate AI/ML-based solutions seamlessly into our core product
• Leverage LLMs to develop novel solutions to customer problems
• Have fun at work :)

Our Tech stack

• ⚙️ Back-end: Python, FastAPI, Langchain, JavaScript, Postgres, Supabase, Redis 
• 🖥 Front-end: Angular, React
• ☁️ Infra: Amazon AWS, Docker, Kubernetes, Helm, Terraform
• 🚚 CI/CD: GitHub, CircleCI
• 🔎 Monitoring: DataDog

What we expect from you

• Fundamental understanding of Computer Science concepts
• You are currently enrolled in an accredited technical university program with an active student status
• Hands-on experience with coding, at minimum from academic and/or own projects
• Fluent in Python
• Experience with AI and LMMs from academic and/or your own projects
• Fluent in English - verbal and written, as we are an international team and speak mostly English in our day to day
• Passion for data and AI or Machine learning
• You are curious and a fast learner
• Proactive, results-oriented and like to get things done

What we offer:

• 🌎 Multinational team with 42 nationalities creating the future of automation
• 🍎 Notebook/Macbook and 34’’ curved monitor
• 🍍 Snack bar, coffee, tea, fruit and vegetable, and sweets all day - every day - available for everyone
• 🥗 Monday breakfast, Wednesday lunch, and Friday break, with company-provided food and drinks, with music and lively discussion
• ⏰ Flexible working hours  
• 🐕‍🦺 Company therapy pets (dog-friendly office)
• 🖨️ Company 3D printer 
• 🏋️ Multisport Card
• 🥳 Parties, and company events

If this sounds like the right opportunity for you, we’d love to hear from you—apply today!

#careeratmake

What we stand for:

🤝 We roll together - We embrace different ideas to grow together and create powerful solutions. 

🚀 Customer impact first - We empower our customers to succeed, aiming for sustainable impact.

⚽ Game on! - We're explorers at heart: play is our fuel and creativity has no limits. 

For more, feel free to check out our Life at Make Instagram, Meet-up page, or YouTube to get a sense of the vibe.

Make is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment and equal opportunity in all aspects of employment. We will not tolerate any unlawful discrimination or harassment of any kind. We make all employment decisions without regard to race/ethnicity, color, sex, pregnancy, age, sexual orientation, gender identity or expression, transgender status, national origin, citizenship status, religion, physical or mental disability, veteran status, or any other factor protected by applicable anti-discrimination laws.  As a US federal contractor, we are committed to the principles of affirmative action in accordance with applicable laws and regulations.  Different makes us better.

Accessibility and Candidate Notices