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Prosus

ML Engineering Intern - LLM Research & Development

Prosus is hiring an ML Engineering Intern - LLM Research & Development in Amsterdam, Netherlands. Level rates it ; you can apply on Prosus.

Level's read on this job

  • Builds AI ●●●● is how Level rates this machine learning engineer role: the job is building AI systems.
  • The posting mentions OpenAI, Anthropic and Mistral among its tools and skills.
  • Level classes it as an internship.
  • Prosus has 10 other open roles on Level.

AI in this role

openaianthropicmistralhugging-facepytorch
ai-agents

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.

  • 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

 

This internship puts you right in the middle of AI innovation at a European tech leader. If you're excited about using AI to change how people shop and want to work on something with real impact, get in touch!

 

Eligibility: 

This internship is open to candidates who are currently enrolled at a university and either hold EU citizenship or are studying in the Netherlands. We are unable to support visa applications for internships for candidates who do not meet these criteria.

Why Prosus?

At Prosus, your colleagues include 60,000 AI agents… and your job is to figure out what that actually means. We're one of the largest operators of agentic AI on the planet, inside a $100B+ portfolio across 100+ companies and two billion people. The humans here own what AI can't do alone: judgment, creativity, and the call on what gets built next.

Own the impact. Work the ecosystem. Earn your growth. Build with backing.

Curious about our perks and benefits? Take a look at this page.

Our Diversity & Inclusion Commitment

We respect the dignity and human rights of individuals and communities wherever we operate in the world. Building an inclusive workplace where everyone feels welcome and can thrive is critical for us. We provide access to education, which helps everyone understand the important role they play and the positive impact they can have.

Want to know more about life at Prosus? Explore our culture and values.

How we rate this

ML Engineering Intern - LLM Research & Development at Prosus rates 88 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsOpenAIAnthropicMistralHugging FacePyTorch

Also common in machine learning engineer jobs at this level

Pay

Typical machine learning engineer job
$200k

This posting doesn't list pay. Use the typical machine learning engineer figure when pay comes up. See machine learning engineer jobs

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Walk me through how you've used OpenAI in your day-to-day work.
  3. What are the limits of Anthropic that you've run into, and how did you work around them?
  4. What's a project where you used Mistral hands-on?
  5. Walk me through how you've used Hugging Face in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: AI agents, OpenAI, Anthropic, Mistral, and Hugging Face. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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