Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here). Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,700 Qontoers serving over 750,000 customers across 8 European countries. We have been profitable since 2023, and we are just getting started. Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit. AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. ------------------------------------------------------------------------------------------------------ Join us as a Backend Engineer Intern and help build the financial features our customers use every day. You'll work in a squad with full ownership of its product scope, learning on real production code with senior engineers. This is an end-of-studies internship, though strong candidates at any level are welcome. ➡️ What you'll do Ship real features: You'll build and release features such as card authorization, transfers, onboarding or our payment gateway. Join the team from day one: You'll take part in the dailies and the team's regular processes like any other engineer. Learn from a dedicated mentor: A senior backend engineer will coach you through weekly one-on-ones and continuous feedback. Read, write and review production code: You'll work in Go and Ruby,
Internship - Machine Learning Research Engineer
Salary not disclosed
Check market pay for comparable Internship roles before applying.
Role overview
Job description
Internship Program Berlin Internship program: 12 - 24 weeks, full-time, in-person in the Berlin office. Responsibilities Relentlessly push search quality forward — through models, data, tools, or any other leverage available. Train, and optimize large-scale deep learning models using frameworks like PyTorch, leveraging distributed training (e.g., PyTorch Distributed, DeepSpeed, FSDP) and hardware acceleration, with a focus on retrieval and ranking models. Conduct research in representation learning, including contrastive learning, multilingual, evaluation, and multimodal modeling for search and retrieval. Build and optimize RAG pipelines for grounding and answer generation. Qualifications Understanding of search and retrieval systems, including quality evaluation principles and metrics. Strong proficiency with PyTorch, including experience in distributed training techniques and performan
…What they are looking for
Skills & requirements
Department · Search
Hiring company
Perplexity
View the company profile, current openings and hiring details.
Related opportunities
Similar active roles
Relevant, currently active roles for this market.
🔔 Get job alerts
New Internship - Machine Learning Research Engineer jobs in Berlin, Germany; Munich, Germany, straight to your inbox.
No spam · Unsubscribe anytime