Data Science Intern

San Francisco, CA


Listen to free internet radio, news, sports, music, and podcasts. Stream live CNN, FOX News Radio, and MSNBC. Plus 100,000 AM/FM radio stations featuring music, news, and local sports talk.

View company page

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.  
Full-time, summer internship Location:  San Francisco, Los Angeles, New York (Remote)Compensation: $35/hourDuration: 3 months
The RoleAs 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:

  • Develop state-of-the-art ML models for TuneIn’s varied personalization and search use-cases
  • Collaborate with a cross-functional team of Data Scientists, Product Managers, and Engineering to spec out impactful personalization solutions
  • Build data products to improve our understanding of our users, content, and how our users engage with content
  • Analyze product and business success metrics, monitoring and surfacing drivers of KPIs
  • Own the full ML life cycle for a significant new ML product
  • Perform exploratory analyses to understand the performance of our machine learning systems and evaluate new models
  • Create reporting solutions (e.g., dashboards) for business leaders and team members, turning data into an actionable and compelling narrative with visualizations (e.g., charts, graphs, tables) - including the design and development of data tables to support them
  • Design, analyze and interpret the results of experiments.

What We’re Looking For:

  • Bachelor's degree in Computer Science or related quantitative field with experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, or artificial intelligence
  • You are an independent thinker, able to work autonomously, capable of taking on loosely defined problems, and translating complex thinking into practical solutions.
  • Programming experience with Python, R, Java, or C++.
  • Proven ability to translate insights into business recommendations.
  • A lifelong learner with a growth mindset.
  • Experience with deep learning development (Tensorflow / PyTorch) is a plus.
About TuneIn
TuneIn, the world’s leading live streaming service, brings together live sports, news, music, podcasts, and radio from around the globe. With more than 75 million monthly active users, TuneIn is one of the most widely used streaming audio platforms in the world. TuneIn broadcasts over 100,000 owned & operated and partner radio stations and boasts more than 5.7 million podcasts. With premiere distribution across 200 platforms and connected devices, TuneIn empowers listeners to ‘hear’ what they love wherever ‘here’ might be. TuneIn Premium subscribers get exclusive access to commercial-free news from top networks like CNN, Fox News Radio, MSNBC, CNBC, and Bloomberg, as well as live NHL, college sports programming, and commercial-free music channels. For more information, please visit us at or follow us on Facebook, Instagram, or Twitter.
Our commitment to Diversity and Inclusion 
We’re committed to growing and empowering a more inclusive community within TuneIn. That’s why we hire and cultivate diverse teams of the best and brightest from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunities to excel.
We Grow Our Team Utilizing Transparency and Trust 
TuneIn is hiring for many amazing opportunities! We are always thrilled when people apply to our opportunities. Often, we reach out directly to candidates. TuneIn's Recruitment engagement means you'll get an email from the domain. We do not use any other domains to conduct recruitment efforts. A member of our People Team will speak with you or will meet with you and we never use the Wire app to conduct interviews. We will also never send you messages asking you for personal or financial information. Use caution when the identity of someone contacting you cannot be linked directly to the domain. If you've been the victim of a scam, report it to your local law enforcement. If you feel targeted by a fraudster or someone impersonating a TuneIn team member on LinkedIn, please contact LinkedIn directly here, or send us an email at
Workforce Privacy Policy
To view our Workforce Privacy Notice, which covers how we treat candidate data, click here.

Tags: Computer Science Data Mining Deep Learning Engineering Excel KPIs Machine Learning ML models Privacy Python PyTorch R Streaming TensorFlow

Perks/benefits: Career development

Regions: Remote/Anywhere North America
Country: United States
Job stats:  140  52  1
  • Share this job via
  • or

More jobs like this

Explore more AI/ML/Data Science career opportunities

Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.