Chiyoda, Tokyo Archeda, Inc.

English follows Japanese.

 
Mission(ミッション)

Archedaの中核となるリモートセンシングの解析技術の研究開発を推進する経験豊富なリモートセンシングエンジニアを探しています。

私たちは、光学、SAR、LiDARなどのリモートセンシングデータを活用して、自然資本の資源量や土地利用変化、ベースライン等の解析を通じて、カーボンクレジットの創出や森林管理の効率化をサポートしています。

これらを推定していくためのアルゴリズムの研究開発及び、そのモデルを活用したプロダクト開発を担っていただきます。

また、解析の対象は、森林に限らず、農業やブルーカーボンも対象になることがあります。

 
We are looking for(求める人物像)

  • リモートセンシングの解析技術を社会実装していきたい
  • チャレンジングなことを楽しめる、当事者意識を持って取り組める
  • 新しい技術に関心を持つことができる
  • 気候変動問題,環境系のトピックに関心がある
  • 自らの趣味嗜好だけでなく,目的に沿った選択肢を自ら検討し自ら実行することができる推進力を持つ

 
Essential qualifications(必須条件)

  • 衛星データ解析における理論理解および実務経験(特にSARの解析経験)
  • 関連分野において博士号or修士号を持ち、社会実装していきたいと考えていること
  • Pythonを用いた機械学習の開発経験
  • 英語力(英語のドキュメントや論文を読むことができる)
  • 日本国内在住

 
Preferred qualifications(歓迎条件)

  • 森林解析、水田解析等の環境モニタリングに関する技術の開発経験
  • 地理情報の操作・分析経験(ラスター・ベクターデータの処理、ArcGIS、QGIS、GDAL、postGISなどの利用経験)
  • クラウドサービスを用いた開発経験(GCPやAWSなど)
  • MLOpsを用いた機械学習のライフサイクルの構築経験
  • 時系列の衛星データを用いた解析経験
  • Dockerを利用した開発経験
  • Gitを用いたコード管理

 
Selection Process(選考プロセス)

  • 書類選考:履歴書・職務経歴書をもとに、書類選考を実施させていただきます。 選考結果については選考通過の場合のみご連絡させていただきます。
  • カジュアル面談:会社やプロダクト開発、行動指針について、ご説明させていただきます。 選考を進める前に、両者の理解を深め、疑問解消を目的にしています。
  • チーム(技術)面接:職能の観点で、当社開発メンバーとの面接を実施させていただきます。
  • 最終面接:ボードメンバーと面接を実施させていただきます。 ※現住所を考慮し、オフラインでの面接を打診させていただく場合がございます。

 
Benefits and Conditions(待遇)

  • 雇用形態:Full-time 正社員or契約社員(最初の数ヶ月は試用期間となります)
  • 想定年収:4,200,000〜12,000,000JPY+SO (スキル、経験によって判断)※JPY
  • 勤務形態:基本リモート (週1or月1で対面でのワークや会議があります)

 
Your Mission

We are seeking an experienced
Remote Sensing Engineer
to lead the research and development of core remote sensing technologies at Archeda.

Our work leverages optical, SAR, and LiDAR satellite data to estimate natural capital assets, monitor land-use changes and baselines, and support the creation of carbon credits and sustainable forest management.

This role will be responsible for developing algorithms to perform these estimations and implementing them into products.

While forest-related analysis is central, the scope may also include agriculture and blue carbon ecosystems.

 
What We're Looking For

  • A passion for applying remote sensing technologies to real-world impact
  • A proactive and ownership-driven mindset, with a love for challenges
  • Curiosity and enthusiasm for emerging technologies
  • Interest in climate change and environmental issues
  • The ability to make purpose-driven decisions and execute them independently—not just follow personal preferences

 
Essential Qualifications

  • Strong theoretical understanding and hands-on experience in satellite data analysis, particularly SAR
  • Master's or PhD in a relevant field, with a motivation to bring your expertise into practical implementation
  • Experience developing machine learning models using Python
  • Proficiency in reading technical documents and research papers in English
  • Currently residing in Japan

 
Preferred Qualifications

  • Experience in environmental monitoring technologies, such as forest or paddy field analysis
  • Skills in handling and analyzing geospatial data (raster/vector), and experience with tools like ArcGIS, QGIS, GDAL, or PostGIS
  • Experience with cloud platforms (GCP, AWS, etc.)
  • Familiarity with MLOps and managing the machine learning lifecycle
  • Experience with time-series analysis of satellite imagery
  • Development experience using Docker
  • Code version control with Git

 
Selection Process

1. Document Screening

  • We will review your resume and portfolio. Only shortlisted candidates will be contacted.

2. Casual Interview

  • An informal conversation about our company, products, and culture. This step aims to deepen mutual understanding before the formal process.

3. Technical Interview

  • A role-specific interview with our development team to assess your technical fit.

4. Final Interview

  • A discussion with board members. Depending on your location, we may propose an in-person meeting.

 
Benefits and Conditions

  • Employment Type
    : Full-time (permanent or contract; includes trial period)
  • Expected Annual Salary
    : ¥4,200,000 – ¥12,000,000 JPY + Stock Options (based on skills and experience)
  • Work Style
    : Primarily remote, with occasional in-person meetings (weekly or monthly)


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