We’re excited to announce a summer internship opportunity, which is open to current undergraduate and graduate students. To apply, send your resume and cover letter to email@example.com.
Keep reading for details on responsibilities, qualifications, and perks.
Research Engineering Intern
You’ll spend the summer on our research engineering team. You’ll be expected to read current computer science research papers and generally stay up on what’s interesting in the field (we focus on data and machine learning but have wide interests). You’ll also be expected to synthesize new solutions and algorithms in these areas, and to build prototype systems that demonstrate the feasibility of these approaches. Finally, you’ll contribute your written perspective to our published reports.
Skills and Qualifications
We expect you to be a strong programmer, with a good background in math and statistics, and excellent communication skills. Prior experience with machine learning is a plus. We primarily work in Python for research code but are always open to the best technologies for a given problem. If you like to write fun technical blog posts, that’s a plus!
Fast Forward Labs is a research company that helps organizations recognize and develop new product and business opportunities through emerging machine intelligence technologies. We offer a research subscription service and advisory services to small and large companies in a wide set of industries. We value thoughtfulness, learning new things, creativity, and diverse perspectives.
Check out our blog post announcing the company: /post/92438955263/hello-fast-forward-labs
Also read this Forbes article about what we do: http://www.forbes.com/sites/danwoods/2014/09/09/fast-forward-labs-wants-to-be-your-nathan-myrhvold/
Our office is on the lower east side in New York City. We offer a flexible work schedule in a collaborative and creative environment. Also, the lunch options in our neighborhood are great!
Type of Employment
This is a paid 10-12 week internship on site in our NYC office.
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