This position is closed and is no longer accepting applications.

Senior Applied Scientist

Synspective Koto-ku, Tokyo
    💴 No salary range given
    🏡 Partially remote
    🧪 Minimum years of experience unspecified
    💬 No Japanese required
    🌏 Apply from abroad
    🧳 Relocate to Japan

About Synspective

Synspective Koto-ku, Tokyo

Synspective provides solutions for utilizing and integrating data from Synthetic Aperture Radar ("SAR") satellite constellations, big data, and machine learning.

Key benefits

  • English used internally
  • Flexible work-hours and location
  • Part-time or second job allowed

About the position

  • Research and develop innovative geo-solutions, including:
    • 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

Minimum Qualifications

  • 3+ years of practical experience in applying machine learning, computer vision, image processing, or related fields of technologies to solve real-world problems
  • Strong knowledge and implementation skill of statistics and machine learning algorithms
  • 3+ years of hands-on experience with Linux, Python, and scientific Python ecosystem (NumPy, Pandas, Jupyter, and so forth)
  • Experience with deep learning frameworks (TensorFlow, PyTorch, and so forth) 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 and GCP
  • 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

Hiring Process

  1. 1

    Casual Chat

  2. 2

    Team Interview

  3. 3

    GM interview

  4. 4

    CEO interview

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