Intern Scientist, Yahoo Labs (Job Number: 1450702)
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Yahoo Labs sets the course for the future. We’re Yahoo’s incubator for bold scientific experimentation. We specialize in deep, creative thought on the company’s hardest technical problems, and hire amazing research scientists and engineers who serve as Yahoo’s most forward-looking thinkers. We stretch the limits of theory, we apply novel ideas in practice, and we experiment. We love challenging problems, we love bleeding-edge technology, and we love data.

Yahoo Labs is one of the most highly collaborative places you’ll ever see. Partnerships abound within our own teams, with all key product teams, and with the international scientific community. We’ll challenge your brain every day, and when you succeed you’ll change the lives of hundreds of millions of people, allowing them to do things they never dreamed they could do. Come join us and use your scientific background to drive Yahoo-scale innovation!

A Little About Us

Yahoo Labs is pioneering the new sciences underlying the Web. As the center of scientific excellence for Yahoo, Yahoo Labs delivers both fundamental and applied scientific leadership through published research and new technologies powering the company’s products.

Your Opportunity

We are looking for exceptional PhD student who want to work with us in our intern program for the summer of 2015. We will have openings in the US (New York City, Sunnyvale) and other locations. We seek world-class graduate students in pursuit of a PhD in Computer Science, Mathematics, Statistics, or a related area. We are particularly interested in students working on Machine Learning, algorithms, Natural Language Processing, Knowledge Representation, HCI, Multimedia, Mobile Innovations, search (systems or algorithms), collaborative filtering, auctions, mechanism design, linear algebra, Systems or analysis of large data. Ideal candidates will have finished at least 2 years of graduate work.

Your Day

• Work with scientists to perform original research
• Apply scientific thinking and techniques to improve the performance
  and effectiveness of our products
• Solve problems for our users and advertisers by analyzing mountains
  of data
• Have the opportunity to publish your work and expand the horizons
  of web science

You Must Have

• Currently working on the PhD degree, preferably in Computer
  Science, Mathematics, Statistics, or related area.
• Finished at least 2 years of graduate work
• Have some experience in Machine Learning, algorithms, Natural
  Language Processing, Knowledge Representation, HCI, Multimedia,
  Mobile Innovations, search (systems or algorithms), collaborative
  filtering, auctions, mechanism, design, linear algebra, systems, or
  analysis of large data Learning, algorithms, Natural Language
  Processing, Knowledge Representation, HCI, Multimedia, Mobile
  Innovations, search (systems or algorithms), collaborative
  filtering, auctions, mechanism, design, linear algebra, systems, or
  analysis of large data
• A CV with strong recommendations from your graduate advisor

Apply

Art often thought of as mankind’s pursuit of visual and expressive objectivity.

But it appears not all of mankind gets to do the pursuing…

A new study has found that Race seems to be the determining factor as to whether you will become an artist who can make a living from your work.

According to the research an overwhelming majority of people who identify with the art profession (artist, writer, author, musician, singer, fine artist, photographer, producer, actor, director, filmmaker and editor, entertainer, performer, dancer, and choreographer) are white, 77.6% to be exact.

The study goes on to reveal that this trend is also true in the percentage of art school graduates,

“A solid 80.8% of this population is white, while 4.4% is black, 7.0% is Asian and 5.7% is Hispanic. Of art school graduates who make a living from their work, 83% are white.”

The report, titled “Artists Report Back”, juxtaposes the data of art graduates to its proportionality of race within the United States population.

The population of arts graduates and working artists is not representative of our country. The population of the United States is 63 percent White, non-Hispanic, but 81 percent of arts graduates are White, non-Hispanic.

These statistics, while providing a reasonable degree of knowledge of art and population, seem to raise more questions than they answer:

What is the cause of this lack of racial diversity among artists?

Is this just another case that proves we have yet to move into a post-racial America?

Share your artistic insights below.