Machine Learning Engineer Aktuální

Spaceknow Inc.
Odpovědět
Praha
Zaměstnanec
Full-time

“Dirty” data workEnd-to-end development of machine learning (deep learning) pipelines in PythonDeveloping tools and systems for automated data analysis and reporting. Software development experience in data manipulation, data mining or prototype development using Python (agile development, software version control, continuous integration, test driven development, pair programming, rapid prototyping).Data analysis and signal processing skills with an ability to independently prototype machine learning (deep learning) pipelines.Understanding of mathematical modeling, computer vision, statistical analysis, data mining.Skilled in creative, strategic thinking and an ability to propose and deliver simple solutions to complex puzzles.Excellent communication and collaboration skills.Self-motivated and independent.Great advantage for having masters or PhD in computer science, machine learning, data science or signal processing.

Our mission is to bring transparency to the world with satellite imagery. We are developing an AI to do that.

In the press

  • Bloomerg
  • Fortune
  • The Washington Post
  • Digital Globe
  • Financial Times
  • Space.com

Open position

Machine Learning Engineer + Imaging Scientist

  • You

    • • Software development experience in data manipulation, data mining or prototype development using Python (agile development, software version control, continuous integration, test driven development, pair programming, rapid prototyping).
    • • Data analysis and signal processing skills with an ability to independently prototype machine learning (deep learning) pipelines.
    • • Understanding of mathematical modeling, computer vision, statistical analysis, data mining.
    • • Skilled in creative, strategic thinking and an ability to propose and deliver simple solutions to complex puzzles.
    • • Excellent communication and collaboration skills.
    • • Self-motivated and independent.
    • • Great advantage for  having masters or PhD in computer science, machine learning, data science or signal processing.

  • Work

    • • “Dirty” data work
    • • End-to-end development of machine learning (deep learning) pipelines in Python
    • • Developing tools and systems for automated data analysis and reporting

Technologies

Our tools

Frontend & design

  • Angular
  • Typescript
  • Sketch
  • Axure

Backend

  • Python
  • Google Cloud
  • Docker
  • git

Machine learning

  • TensorFlow
  • Karas
  • scikit
  • SciPy

How We Operate

Life at SpaceKnow

No senseless meetings

We keep meetings to a minimum so you can devote your energy to things you love to work on. Such as designing or coding.

Manage your time

Although we’d like you to be with us in the office, we don’t have any strict 9-5 work schedule. Just get the job done.

Flat structure

You will work with other team members and you will be involved in the process. You can always bring ideas to the table.

Calendar Photos
Photos
  • Tom

    Tom, Backend Development

    We are often solving difficult tasks, thanks to which we can learn from each other a lot. Our team is perfect - we even go together to the Alps in winter.

  • John

    John, UX Design

    I prefer user-centered design because I believe it’s the right attitude towards work - and SpaceKnow is all about its customers! I love it.

  • Dominika

    Dominika, Annotations

    I feel like I’m in a group of people who strive to achieve greatness! And it’s a wonderful feeling.

  • Jan

    Jan, Machine Learning

    I like to be a part of an extremely focused and passionate team, building cutting-edge AI technology and ML systems.

  • Martin

    Martin, Sales

    The team consists of young and extremely intelligent people who through sci-fi technology transform the way business intelligence works!

  • Zuzana

    Zuzana, Annotations

    I choose and control data for our algorithms. It’s really exciting! The team is great as well.

Jerry

Jerry, Co-Founder

You wouldn’t believe how difficult it is to work with satellite imagery. Although it’s a challenge that requires a lot of effort, our work is successful - and that’s amazing!

Feel free to ask us anything! :)

  • Long term Challenges

    We are developing an AI technology that understands satellite imagery.

  • And we are making it available to anyone.

2 minutes from Prague metro station

  • Metro

    B, Krizikova

  • Tram

    Krizikova

  • Address

    Thamova 18,
    Prague 8,
    CZ

  • Airport

    Václav Havel Airport Prague

60 seconds from
Market St & Hyde St

  • Bus

    Mission St & 7th St

  • Tram

    Market St & Hyde St

  • Address

    1161 Mission St,
    San Francisco,
    CA 94103

  • Airport

    San Francisco International Airport
Mám zájem o tuto nabídku

Spaceknow Inc.

Founded in 2013, Spaceknow, Inc. is an aerospace, Silicon Valley, venture capital-backed startup. Spaceknow works by bringing transparency to the global economy by tracking global economic trends from space through their Analytics-as-a-Service products. The company develops these products for monitoring economic activity for a wide variety of both consumer and enterprise clients.

Spaceknow developed a proprietary interface to access multiple imagery provider’s image archives and data feeds. Currently we have unified access to three operators with new ones being added monthly. Spaceknow is working towards a future where all the world’s imaging platforms are available through our interface.

Spaceknow Intelligence product presents an integrated geospatial processing dataflow. 

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