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NLP Research Engineer

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Job Location drjobs

Zurich - Switzerland

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Job Description

Love working with large transformer models? Then this might be your thing!

Caplena is an award-winning Swiss tech start-up. It is *the* AI tool to analyze open-ended feedback, wherever it may come from - helping customers to get from texts to real insights, with ease and in no time. We have trained a huge transformer model from scratch (I know it may seem mad but totally worth it ) to get the maximum possible accuracy for this task. This model does topic generation, classification and aspect-level sentiment all in one gigantic model for 31 languages.

Having closed our first funding round, we're looking for curious minds who are eager to work on state-of-the-art NLP. You will become an integral part of our hands-on & fun team (16 people) and have a big impact on the future development of our software. We are fast-growing with close to 130+ active customers in more than 15+ countries across a multitude of industries including some big names like eBay and DHL.

Tasks

Experimental tasks:

  • Improve the topic generation
  • Make the classification even more accurate and context-aware
  • Solve additional NLP use cases for our app

"ML-Ops":

  • Automate our re-training pipeline
  • Improve inference speed

Requirements

  • MSc in Computer Science, Data Science or equivalent education;
  • Hands-on experience with transformer models;
  • Solid understanding of NLP in general (embeddings, encoder-decoder architecture, types of tasks, etc.);
  • Minimum 1 year of experience programming in Python;
  • Experience with Tensorflow is a plus;
  • Performance issues are challenges you indulge in, not something you dread;
  • GTD > Meetings;
  • Solid written communication in English; German not required but a plus;
  • Upbeat team player.

Benefits

  • Exciting, growing product ;
  • Millions of labelled data points with endless improvement possibilities
  • Modern & scalable tech stack (Google Compute Platform; Kubernetes; GCP Dataflow; A100 and T4 GPUs, TPUs);
  • Solid tooling (Experiment tracking; Reproducible preprocessing; Ability to easily test new models);
  • Quick & inclusive decision-making;
  • Driven & down-to-earth team;
  • Office near Opernhaus, Zurich (close to the lake, and we have great coffee!)
  • A lot of team events;
  • MacBook Pro;
  • Full-time; flexible working hours; remote;
  • 25 days PTO/year;
  • Competitive compensation & equity.

If you're looking for a place to apply and refine your programming skills on a cutting-edge product, then join us .

Start date: Immediately or according to availability.

Employment Type

Full Time

Company Industry

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