Senior Machine Learning Research Scientist for eXplainable AI (m/f/d)

  • Full- / Part- Time
  • Berlin, Germany

Join our team at neurocat
To expand our research team, we are looking for passionate and innovative Senior Machine Learning Research Scientist (m/f/d) for eXplainable AI with a strong academic background in Machine Learning and industry experience. In a team of experienced scientists, you will be shaping our product aidkit by developing algorithms and strategies to explain and evaluate Machine Learning models. You will have the chance to work on and lead research projects in various industries including health-care, automotive, and telecommunications.

Your Tasks:

  • You structure, manage and lead internal and client research projects for eXplainable AI (XAI)
  • You track and analyze the status-quo of the literature on XAI and identify high-impact research questions for aidkit
  • Together with our engineering team, you will build prototypes to validate and integrate latest research findings and algorithms into our product
  • You write academic publications and develop technical requirements for the standardization of AI quality assessment

Your Profile:

  • Several years of work experience in developing ML methods and applications with an interest in eXplainable AI
  • MS/PhD in Computer Science or related discipline with experience in latest Machine Learning/Deep Learning developments
  • Excellent software engineering practice with solid knowledge one or more programming languages with a focus on numerical computing and machine learning (python, Julia, R, …) including relevant frameworks (pytorch, tensorflow, …) and tools (jupyter, git, …)
  • Strong communication, presentation skills and business fluent English (German is not required)
  • You enjoy working with a high degree of self-responsibility in cross sectional team

Nice to have:

  • Experience with relevant research topics such as Explainable AI, Fairness/Accountability/Transparency in Machine Learning, Active Learning, Human-Computer Interaction, Conversational AI, Causal Learning
  • Scientific writing skills and an academic track-record of ML-related publications
  • Industry experience with state-of-the-art computer vision and time-series models

Don’t hesitate to get in touch with us. We are pleased to get in touch with you and are looking forward to read your filled contact form.

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