An international tech lab is expanding its applied AI research centre, hiring to strengthen their work on large-scale recommender systems and LLMs powering global platforms across cloud, streaming, and mobile.
This is more than a publication-first role. You’ll be joining a multi-disciplinary research centre that collaborates with top universities and industry partners, with real deployment as the end goal.
What You’ll Do:
  • Design and develop production-grade recommender systems and LLM-driven services
  • Run experiments on massive datasets, proposing novel approaches to real-world problems
  • Present and defend your research both internally and externally
  • Mentor junior researchers and guide research direction across the team
  • Publish in top-tier venues, file patents, and build working prototypes
  • Partner with global stakeholders to scale ideas and deliver impact
What They’re Looking For:
  • 10+ years of experience in applied ML, with a strong track record in recommender systems or LLMs
  • Hands-on coding skills are a must (Python, C++, R, etc.)
  • PhD from a top university and multiple publications + patents all focused around LLM's
  • Industry background at leading tech companies (e.g. Apple, Amazon, ByteDance)
  • Ability to lead and deliver in research environments that bridge academia and industry
Process Overview:
  1. Coding test (challenging and mandatory, even for senior profiles)
  2. Research presentation (typically PhD work or a recent project)
  3. Deep-dive with the lab or HQ team to assess alignment
  4. Final HR round (salary and logistics)