Join our AI team at Prosus, the largest consumer internet company in Europe and one of the biggest tech investors in the world. You'll be working on the team that drives growth and innovation across the company. You'll work on production LLMs that transform how millions of people shop online - shipping real features from day one.


What you'll do:

Train, fine-tune, and serve open-source LLMs (Qwen, Mistral, etc.) that power real products

Design experiments, evaluate results, and ship solutions that win in A/B tests

Work on the full ML lifecycle: from training runs to production serving infrastructure

Preferred qualifications & traits:

You know how to write good Python code from experience building real projects (or close to it). Bonus points if you've worked with distributed systems.

You've actually used PyTorch and Huggingface and you also have an idea of what's going on under the hood.

You understand ML fundamentals because you've trained models yourself and understand the core concepts.

You can make sense of research by reading papers, getting the key ideas, and turning them into working code (with the help of your AI assistant).

You think for yourself and can come up with ideas.

You're genuinely curious and actually care about understanding how things work and get excited by new ideas

You love learning new tech and applying it.

You work well with others by communicating clearly, not being shy to ask questions, and helping your teammates.

You're flexible when priorities shift and okay with switching from research to data processing when needed.

You're friends with AI assistants and use them regularly for coding and writing.

You can commit to 6-12 months working with us in Amsterdam (minimum 3 days in the office weekly). We'll work with your academic schedule.

What we offer:

Learn from the best: Work with AI engineers who've published at NeurIPS, released top models on Huggingface, and built production systems at scale

Ship from day one: Your code goes into production quickly, not after months of onboarding

Real infrastructure: Access to H200 GPU clusters, large-scale datasets, and all major LLM APIs (OpenAI, Anthropic, Google)

Unique data at scale: Access to billions of customer interactions from 500+ million users across our e-commerce platforms, with millions of products

Grow your career: People who excel here tend to stick around

Junior Engineer compensation: We pay competitively for the impact you'll have

Best-in-class tools: MacBook Pro, access to all major LLM APIs and premium coding assistants

Great workspace: Modern office in Amsterdam South with free barista coffee and NS travel card for your commute