Location: UK (Edinburgh preferred and London/elsewhere in UK is possible) Remote: No Preference Willing to relocate: can relocate to US starting May 2024

Location: UK (Edinburgh preferred and London/elsewhere in UK is possible) Remote: No Preference Willing to relocate: can relocate to US starting May 2024 Technologies: deep learning (pytorch python and C++ api), combinatorial optimization, django, react, linux Email: aferber6174@gmail.com Résumé/CV links: https://aaron-ferber.github.io/files/CV.pdf https://aaron-ferber.github.io/files/CV.pdf https://www.linkedin.com/in/aaron-f-64a73980/ https://www.linkedin.com/in/aaron-f-64a73980/ Enthusiastic upcoming CS PhD grad from USC who has published papers on applying machine learning to combinatorial optimization problems with applications in finance, wildlife trafficking, illegal fishing, recommendation systems, inverse photonics, and cloud cybersecurity. Eager to work on new application domains and have dabbled in tuning stable diffusion and LLaMA. During internships in Meta AI Research, NEC Labs, and Microsoft Azure, I have developed novel machine learning techniques for industrial scale domains. I am moving to Edinburgh Scotland with my partner who will be working as a junior doctor there and am looking for positions that can help me grow and where I can leverage my experience in computer science + operations research for interdisciplinary work.