Steffen Schneider
ML EngineerAI for Science & Education
Helmholtz Munich
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI for Science & Education
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Scientist and social entrepreneur working on topics in Machine Learning, Neuroscience & AI for Education. About me: https://stes.io/
EPFL
Doctor of Philosophy - PhD, Neuroscience
January 1, 2021 – January 1, 2024
Max Planck Society
International Max Planck Research School for Intelligent Systems, Computational Neuroscience and Machine Learning
January 1, 2019 – January 1, 2023
Technical University of Munich
Master of Science (M.Sc.), Neuroengineering
January 1, 2016 – January 1, 2018
RWTH Aachen University
Bachelor of Science (B.Sc.), Electrical Engineering, Information Technology and Computer Engineering
January 1, 2013 – January 1, 2016
Helmholtz Munich
Group Leader (Tenure Track)
March 1, 2024 – Present
Greater Munich Metropolitan Area · On-site
Kinematik AI
Chief Technology Officer
February 1, 2023 – Present
Meta
Research Scientist Intern
May 1, 2022 – July 1, 2022
New York, New York, United States
Amazon Web Services (AWS)
Applied Science Intern
September 1, 2020 – January 1, 2021
Tübingen, Baden-Württemberg, Germany
KI macht Schule
Co-Founder & CEO
April 1, 2019 – Present
Germany · Hybrid
AI Resident
October 1, 2018 – September 1, 2019
Menlo Park, CA
Cultural Fit Analysis
The candidate demonstrates a strong academic and research-oriented background, with experience in both large tech companies (Meta, AWS, Facebook) and a startup (Kinematik AI). Their involvement in 'KI macht Schule' shows a commitment to broader societal impact and education, which could align well with a culture valuing innovation and community. The diverse roles, from research scientist to CTO and group leader, suggest adaptability. However, the primary focus on research and academic leadership might require assessment of their interest and experience in product-focused ML engineering roles.
Soft Skills & Operational Fit
The candidate's experience as a Group Leader and CTO suggests strong leadership, strategic thinking, and project management skills. Co-founding a non-profit indicates initiative, communication, and a drive for impact. The research roles imply strong problem-solving and analytical capabilities. However, specific operational fit details like team collaboration style or stress handling cannot be fully assessed without psychometric test results or interview data.