Mapillary - Computer vision / machine learning research intern

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Location (s):

  • Sweden
Bredgatan 4, 211 30 Malmö

Overview

We are looking for a PhD student to join our Research team at Mapillary. You will be working on basic research projects in the field of object recognition and/or 3D modeling. Together with a team of motivated researchers, your goal is to develop and prototype proof-of-concept solutions for challenging machine vision problems, and we aim for publishing the results at high-impact conferences.

Details

Job description

Maps rule the world. They inform and underpin some of the most crucial decisions that are made in society—but the world is moving so fast that maps everywhere get outdated quicker than any single player can update them. That’s where Mapillary comes in. We allow anyone, anywhere to update maps at scale, using nothing but cameras. We apply computer vision to street-level imagery to generate map data at scale, so that people and organizations everywhere can build better maps.

Who Are We

At Mapillary we have big visions and goals, and we’re here to make an impact with our work. We are focused and passionate, with a long-term goal of making the world accessible to everyone by building the best photo representation of this planet.

You are fluent in what you do. You join a small team of very talented people, so we trust you are up to a high-impact, fast-paced working environment mostly based on chat with fewer meetings and more responsibilities. 

We've got our headquarters in Malmö, Sweden, but work with a remote team. Today we have colleagues in Barcelona, Graz, Los Angeles, New York, Stockholm, and Zagreb. As a team, we work distributed, and people work where they want when they want. GitHub, Google Drive, Hangouts, and Slack are our main tools. We ship early, in the open, and make multiple releases every day.

We believe a small team of dedicated, passionate people can make something great, on a global scale. Join the ride!

Opportunity is About:


Eligibility

Candidates should be from:

Description of Ideal Candidate:

Requirements

Ideally, you already completed 2-3 years of your PhD studies and have experience in publishing your works in any of CVPR, ICCV, ECCV, NIPS, ICML or PAMI, have been working on deep learning for object recognition, 3D reconstruction, graph-based learning or related fields.

What We Look For in People

  • You like open source, open data and community.
  • You are curious and courageous to learn and grow, every day.
  • Being transparent is your second nature.
  • You are hard working with an attention to detail.
  • You like collaboration but can also be independent with your own goals and pace.
  • Humble, compassion, and respect are values you care about.

Dates:

Deadline: As soon as possible


Cost/funding for participants:

The internship period is 3 months with the possibility to extend if needed. When you apply, please include your CV and a short description about of previous works during your PhD time (e.g. links to papers or your Github account). Become part of our mission for helping others to visualize and understand the world!

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