Aartificial intelligence, C++, Data Mining, Deep Learning, Java Programming, Machine learning techniques, Python Programming, PyTorch, R Programming, Recommendation Systems, Regression pattern finding, TensorFlow
At TuneIn, we are reinventing radio for a connected world with live sports, up-to-the-minute news, curated music, millions of podcasts, and over 120,000 streaming radio stations—streamed to tens of millions of customers through our mobile and web apps, and our unmatched platform of hundreds of consumer device and service integrations. From smartphones to smart speakers to electric cars, TuneIn delivers live and on-demand audio from voices you trust wherever you want to listen.
The Role
As a Data Science Intern, you will develop innovative machine-learning algorithms that power the core listener experience at TuneIn. Specifically, You will work on making data-driven improvements and building machine-learning models to improve and organize TuneIn’s Search experience. You will collaborate with Data Scientists, Product, and Engineering to identify areas of opportunity, develop and deploy data products, optimize content discovery, run experiments around product features, and build data-driven solutions to improve user experience and growth. You’ll be solving complex problems that help define our understanding of how our users engage with live and on-demand audio content.
What You’ll Do:
What We’re Looking For:
TuneIn is a global audio streaming service delivering live news, radio, sports, music, and podcasts to over 75 million monthly active users. TuneIn is operated by the company TuneIn Inc. which is based in San Francisco, California. The company was founded by Bill Moore in 2002 as RadioTime in Dallas, Texas.