Ed Beeching
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Research Scientist at Hugging Face. PhD in Deep RL for robotic navigation.
I am a Research Scientist at Hugging Face. My research is predominantly RLHF, Embodied Learning and LLM tool use. Prior to this I was a PhD student at INSA Lyon / INRIA. As part of INRIA's CHROMA team, I worked Structured memory-based approaches for Deep Reinforcement Learning for planning and navigation. My previous experience includes a BSc in Physics and 6 Years of industry experience in image processing and signal processing in the field of Geophysics. Followed by a Masters in Machine Learning and Data Mining.
INSA Lyon - Institut National des Sciences Appliquées de Lyon
Doctor of Philosophy - PhD, Deep Reinforcement Learning
January 1, 2018 – May 1, 2022
KU Leuven
Master's degree, Artificial Intelligence
January 1, 2017 – January 1, 2018
Université Jean Monnet Saint-Etienne
Master's degree, Machine Learning and Data Mining
January 1, 2016 – January 1, 2018
University of Surrey
Bachelor of Science (BS), Physics
January 1, 2006 – January 1, 2010
Hugging Face
Research Scientist
February 1, 2022 – Present
Lyon, Auvergne-Rhône-Alpes, France
Ubisoft LaForge
Research And Development Intern: Deep Reinforcement Learning
April 1, 2021 – August 1, 2021
Montreal, Quebec, Canada
ACOEM : helps companies to limit environmental impact
Intern: Signal Processing and Machine Learning
March 1, 2017 – September 1, 2017
Greater Lyon Area
PGS
Senior Geophysicist / Project Leader
July 1, 2011 – August 1, 2016
London Area, United Kingdom
Cultural Fit Analysis
The candidate's academic and professional journey, including a PhD and experience at Hugging Face, suggests a strong alignment with innovative, research-driven environments. The diverse educational background (France, Belgium, UK) indicates an ability to adapt to different academic and potentially cultural settings. The prior role as a Senior Geophysicist/Project Leader also implies leadership and project management exposure. However, the lack of diverse project experience outside of research and specific ML applications might limit fit for roles requiring broader ML engineering scope or product development focus.
Soft Skills & Operational Fit
The candidate's resume indicates a strong research-oriented background, suggesting analytical thinking and problem-solving skills. The transition from geophysics to ML demonstrates adaptability. However, specific soft skills and operational fit cannot be fully assessed without psychometric test results or interview data.