Applied Scientist

Job description


  • Research and develop innovative geo-solutions for client issues
  • This includes:
    • Deeply investigate the latest advances in relevant fields (machine learning, computer vision, and remote sensing) and design your own methods by handpicking, customizing, combining, or devising algorithms
    • Choose, combine, and process appropriate satellite/geographic datasets depending on tasks
    • Perform experiments to check the feasibility/validity of your own methods and dataset
    • Summarize and report results in a clear and easy-to-understand manner
  • Implement statistical and machine learning technologies and help software engineers deploy them into production
  • Proactively find research themes and address them
  • Partner closely with business staff and judge the feasibility of potential business ideas based on your technical knowledge before they are put into practice
  • Continuously improve you and your team’s skills

Job requirements

Minimum qualifications: 

  • 3+ years of practical experience in applying machine learning, computer vision, or image processing to solve real-world problems
  • Basic knowledge of statistics and machine learning
  • Research experience in the field of machine learning
  • Experience with Linux and Python
  • Experience with TensorFlow or PyTorch to run experimental workflows
  • Ability to read academic papers without difficulty and select, combine, and implement technical approaches to solve problems
  • Motivation to learn new things and share them with the team
  • Good oral and written communication skills in English to convey techniques and results of analyses concisely to both experts and non-experts


Preferred qualifications:

  • Master’s degree or Ph.D. in computer science, statistics, machine learning, applied math, data science, or equivalent field
  • Experience in implementing your own algorithm and deploying it into production
  • Publications at peer-reviewed conferences or journals
  • Experience in reproducing papers
  • Experience with Docker, GCP, and scientific Python ecosystem (NumPy, Pandas, Jupyter, and so forth)
  • Experience in handling satellite images or GIS data
  • Knowledge of the generation process of electro-optical or SAR satellite imagery
  • Knowledge of characteristics of many different satellite image products
  • Experience and familiarity with Japanese culture/language