Epidemic Sound
Daniel Klevebring is a seasoned machine learning engineer and data scientist with extensive experience in building production systems and prototypes. Currently serving as a Staff Machine Learning Engineer at Epidemic Sound since February 2019, Daniel focuses on machine-learning-based production systems, strategic initiatives, and fostering a positive company culture. Prior to this role, Daniel held positions as a Senior Machine Learning Engineer and Data Scientist at YDB Technologies AB and Fyndiq, where expertise in recommender systems and data infrastructure was honed. Daniel's earlier career includes a significant role as a Senior Bioinformatician at Karolinska Institutet, leading the development of bioinformatics pipelines for cancer sequencing. Academic qualifications include a Ph.D. and an M.Sc. in Biotechnology from KTH Royal Institute of Technology.
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Epidemic Sound
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Epidemic Sound was founded in 2009 with the sole purpose of creating possibilities and benefits around music in all stages – both for the ones who compose it and the ones who use it. We’ve achieved that by collecting music in an ever-growing library, to which you can subscribe for unlimited use or license tracks per second. Both equal music clearance on all platforms, worldwide in perpetuity. Today we have over 25K high-quality tracks at the tip of your fingers. Go ahead and create!