ph3About Rapidata /h3 pRapidata offers an API to humans that is revolutionizing the data generation and annotation industry. It delivers highly scalable and extremely fast human data that fuels the AI systems of the future. We have a diverse user base of over 10 million active users from all walks of life. Naturally, this means different people are good at different things. To optimize both efficiency and quality of responses, we need to assign the right tasks to the right person in real time, at global scale. /p h3The Role /h3 pWe're looking to hire a bMachine Learning Intern /b, a Master/Graduate student with experience in machine learning, reinforcement learning or data science and a strong interest in brecommender systems /b. You'll become an integral part of a dynamic and highly skilled team. It's not an isolated research project, your task is to outperform the current system, not just offline but also online with strict (5ms) latency requirements. /p pYou'll work independently on a primary task while closely supported by senior engineers and ML practitioners. If things go well, we'd very much like to promote and keep you afterwards. /p h3Responsibilities /h3 ul liResearching state of the art recommender systems /li liDefining evaluation metrics /li liWorking with large-scale human data /li liShow improvements in offline as well as online experiments /li liCollaborating with senior engineers and ML leads on production systems /li liWork independently on a primary task, with occasional side-quests /li /ul h3Requirements /h3 ul liExperience in machine learning, reinforcement learning or sequential decision-making projects (coursework or practical) /li liSolid statistical and mathematical foundation /li liIntrinsic drive motivation /li liExcellent English communication skills, both oral and written /li liStrong Python skills /li liAbility to work in Zürich /li liWork authorization: Swiss or EU citizenship or enrollment in a degree program where the internship is a mandatory part of the curriculum. /li /ul h3Nice-to-Have /h3 ul liExperience in working with databases (Postgres, MongoDB, ClickHouse) /li liExperience in utilising coding assistance tools like Claude Code /li liExperience in C# or Rust /li /ul h3What We Offer /h3 ul liCompetitive salary and equity in a startup with strong growth, IP and backed by top-tier VCs /li liOpportunity to join a fast growing startup early, giving you an outsized opportunity to shape where the company goes /li liFun and open (startup) culture /li liSpacious mountain views office located in Zürich Center near Sihlcity (3 min from Binz Train station). Large Terrace with Tabletennis, Pizza Oven, Hammock and a BBQ /li liFlexible working times /li liUnlimited snacks and drinks of your choice /li liPotential full-time employment after the internship /li /ul /p #J-18808-Ljbffr
Machine Learning Internship Zürich, Switzerland
Machine Learning Internship Zürich, Switzerland
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