ML Research Scientist (Tübingen)

Tübingen, Germany

Full Time Mid-level / Intermediate EUR 80K - 120K
NT Parameter Lab logo

NT Parameter Lab

We are researchers and problem solvers. We are experts in machine learning. We address issues when machine learning models are deployed in the real world at an industrial scale.
Apply now Apply later

We are building a new group of ambitious, independent-minded researchers to tackle the trustworthiness of billion-scale ML models. The team will work on the in-house large language models and large-scale multi-modal models at Naver. As an independent researcher, you will be given the autonomy to define and solve problems in billion-scale models. You will present your results through academic publications and tech transfers. You will build unique expertise in dealing with billion-scale models.

Benefits

We offer a highly competitive salary. You will enjoy good social security coverage in Germany.

Qualifications

We expect you to be able to conduct research end-to-end: from proposal to execution and presentation. We are seeking a PhD holder in machine learning or related topics and a good publication record (or an equivalent amount of expertise). Expertise in some of the following topics will be welcome.

  • Natural language processing

  • Computer vision

  • Explainability and interpretability

  • Bayesian ML and uncertainty

  • Generalization and robustness

  • Factfulness

  • Commonsense reasoning

  • Knowledge representation

  • Model auditing

  • Fairness

  • Privacy and security

  • Alignment

  • Human feedback

How to apply?

Send your CV to recruit@parameterlab.de.

Remaining questions?

Write to recruit@parameterlab.de.

Tags: Bayesian Computer Vision Machine Learning ML models NLP PhD Research Security

Perks/benefits: Career development Competitive pay

Region: Europe
Country: Germany
Job stats:  650  80  2
  • Share this job via
  • or

Other jobs like this

Explore more AI/ML/Data Science career opportunities

Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.