Machine Learning Internship

Description

We're looking to hire a Machine Learning Intern, a Master/Graduate student with experience in machine learning, reinforcement learning or data science and a strong interest in recommender systems. 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. You'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.

Responsibilities

• Researching state of the art recommender systems
• Defining evaluation metrics
• Working with large-scale human data
• Show improvements in offline as well as online experiments
• Collaborating with senior engineers and ML leads on production systems
• Work independently on a primary task, with occasional side-quests

Requirements

• Experience in machine learning, reinforcement learning or sequential decision-making projects (coursework or practical)
• Solid statistical and mathematical foundation
• Intrinsic drive & motivation
• Excellent English communication skills, both oral and written
• Strong Python skills
• Ability to work in Zürich
• Work authorization: Swiss or EU citizenship or enrollment in a degree program where the internship is a mandatory part of the curriculum.

Nice-to-Have

• Experience in working with databases (Postgres, MongoDB, ClickHouse)
• Experience in utilising coding assistance tools like Claude Code
• Experience in C# or Rust

What We Offer

• The opportunity to significantly impact a young, dynamic and quickly growng startup.
• A competitive salary
• Flexible working times
• A spacious office with mountain views in Zürich, 2 minutes from Binz train station.
• Drinks and snacks of your choice.
• Potential full-time employment after the internship.