Datenschmiede

Machine Learning Researcher – Hybrid

Datenschmiede

full-time

Posted on:

Location Type: Hybrid

Location: BerlinGermany

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About the role

  • Work on machine learning research projects to improve methodologies
  • Address how methodologies can achieve better performances in applications
  • Publish results in relevant journals or conferences like ICML, NeurIPS, or ICLR
  • Foster connections to academia and stay updated with machine learning research
  • Collaborate within a team applying cutting-edge machine learning algorithms

Requirements

  • MSc or PhD in mathematics, physics, computer science or a related field
  • Published academic papers; machine learning related papers are a plus
  • Grounded knowledge about machine learning and deep learning in particular
Benefits
  • Flexible working hours (full and part time)
  • Nice office with good coffee in Berlin Kreuzberg
  • Support with publishing your research results
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningdeep learningmethodologiesalgorithmsdata analysisstatistical modelingperformance optimizationresearch publicationacademic writingexperimental design
Soft Skills
collaborationcommunicationteamworknetworkingadaptabilitycritical thinkingproblem-solvingtime managementcreativityinitiative