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Senior Data Scientist- Computer Vision in Barcelona

letgo

Workplace
Onsite
Hours
Full-Time
Internship
No
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Job Description

letgo's the largest and fastest growing app to buy and sell locally. With over 75M downloads and hundreds of millions of listings to date, letgo’s been named among the “Hottest Startups” by Wired and “Best Apps” by Google, and it’s the second fastest growing app in America since its 2015 launch. Business Insider calls letgo “the go-to app for selling your stuff” and it’s been featured by The New York Times, The Today Show, USA Today, The Verge, Fast Company, The Wall Street Journal, Fortune and hundreds of others worldwide. Already among the most popular apps in America, letgo’s marketplace is filled with everything from electronics and cars to clothing and furniture. Listing something on letgo is as simple as taking a photo thanks to its advanced technology. It’s the only app of its kind that can automatically title and categorize an item using artificial intelligence. Plus, users can easily browse local listings, chat instantly in the app, and view each other’s profiles, ratings and reviews.

Based in our New York and Barcelona offices, our team of over 165 represents more than 20 nationalities. Fueled by our diverse expertise, letgo’s goal is to build the largest marketplace of its kind in the world. We’re looking for people who are as passionate as we are about creating something our users love and - just as importantly - who are excited by the challenge.

As a Data Scientist in Computer Vision (CV), you will be responsible for designing, developing and deploying CV models for object recognition, object detection and scene understanding both for backend and on-device use. This is a unique opportunity to apply modern CV techniques to product features used by millions of people.

 

 

We’re looking for someone who wants to build something huge and that people love because it makes their lives simpler:

We’ve built a company for people who want to do impactful work, surrounded by great people. We have a well-defined, mature culture — and we’re always making it better.

Your challenge:

  • Perform analysis to identify opportunities in our current models or new areas of application of CV in our marketplace
  • Research and prototype state-of-the-art CV models and benchmark them against existing baselines
  • Deploy your models and A/B test their impact
  • Communicate learnings and insights to R&D and Product teams
  • Contribute to the definition of our strategy and roadmap in CV, AI, and ML


You must have:

  • Advanced degree (PhD. or research MSc) in Computer Science, Mathematics, Statistics or related fields
  • Proven experience with at least one Deep Learning modeling platform (Tensorflow, PyTorch, Keras, Caffee, etc)
  • Strong quantitative skills (statistics, probability, machine learning) as well as knowledge of algorithms/data structures
  • Strong software development skills (preferably Python, Java or Scala)

Nice To Have:

  • Experience with on-device deployment of Deep Learning models (Tensorflow lite, Apple's coreml) and model quantization/compression techniques
  • Familiarity with building and deploying data pipelines and services in AWS


letgo perks:

  • 100% covered medical, vision, and dental care premiums
  • Competitive salary and stock options
  • Beautiful, new office in the heart of Soho and along the beach in Barcelona
  • Potential opportunities to travel to - and work in - both of our offices
  • Robust relocation package
  • Massage therapy (Barcelona office)
  • Fully stocked kitchens
  • Team-building activities
  • Language and other courses

 

letgo is proud to be an Equal Opportunity and Affirmative Action employer. Ensuring a diverse and inclusive workplace where we learn from each other is core to letgo's values. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.


 

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