ML Engineering Intern - LLM Research & Development

About this role

Who We Are You've ordered dinner through Just Eat Takeaway. You've bought and sold on OLX. You've paid with PayU. Chances are, you've already used a Prosus company today. We are Prosus, a global technology company powering some of the world's leading lifestyle ecommerce businesses. Every day, billions of people across India, Latin America, Europe and beyond use our products and services to buy, sell, pay, connect and discover.

Our AI-driven ecosystem spans 100+ companies across ecommerce, food delivery, fintech and experiences, serving billions of consumers worldwide. AI powers how we operate and innovate, with more than 60,000 active AI agents helping our teams build, scale and move faster. Through our investment team, we also back the founders and technologies shaping the future: From robotics and autonomous systems to synthetic biology and frontier AI.

Guided by our five values Innovation, Results, People, Impact, and Entrepreneurship, culture is our competitive advantage. We thrive with experimentation; we build, we test, we learn, we iterate. Join us in shaping the future of technology at global scale. 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.