Senior Applied Scientist (Remote OK)

  • Remote OK
  • Full-time
  • April 7, 2021
Conditions
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Apply from Anywhere 👍
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Relocation to Japan 👍
(Overseas visa sponsorship supported)
Requirements
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Language Requirements
Japanese: Conversational
English: Fluent

Senior Applied Scientist / シニア アプライドサイエンティスト

Job description

※英語の後に、日本語が続きます。

Responsibilities:

  • 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

Job requirements

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

募集要項

仕事内容

  • 衛星データおよびその他地理空間情報を用いたソリューション開発のR&Dフェーズを遂行する
    • 論文サーベイに基づくアプローチの選択
    • 使用する衛星画像プロダクトやその他必要なデータの選択
    • データセット構築、モデリング、評価
    • 成果報告
  • エンジニアリングチームと協働してR&Dの成果をSaaSプロダクトに実装する
  • チームや会社にとって意味のあるR&D課題を見出し、データサイエンスの問題設定に落とし込む
  • ビジネスアイデアの実現可能性を評価し、セールスチームと協働してプロジェクトの妥当なゴールを設定する
  • 自己およびチームの継続的な技術力向上に取り組む

必須要件

  • 機械学習、コンピュータビジョン、画像処理等の実務経験3年以上
  • 統計および機械学習理論に関する卓越した知識とそれらの実装能力
  • Linux、Python、およびscientific Python ecosystem(NumPy、Pandas、Jupyterなど)の使用経験3年以上
  • ディープラーニングフレームワーク(TensorFlow、PyTorchなど)を用いて、データセット構築からモデル評価までの一連の機械学習ワークフローを実行した経験
  • 適切な論文サーベイに基づいてタスクに最適なアプローチを選択するスキル
  • 学習意欲
  • 分析結果や技術について、専門家および非専門家に英語で説明(口頭説明および文書作成)できる程度のコミュニケーション力

希望要件

  • コンピュータサイエンス、統計学、機械学習、応用数学、データサイエンス等の分野における修士号または博士号
  • 機械学習・コンピュータビジョンのアルゴリズムをサービスや製品に実装した経験
  • 査読付き学会や学術誌における採択経験
  • 論文追試経験
  • Docker、GCPの使用経験
  • 衛星画像やGISデータのハンドリング経験
  • 光学衛星画像やSAR衛星画像の観測・生成過程に関する知識
  • 各種衛星画像プロダクトの仕様に関する知識

Compensation & Arrangements:

  • Employment system: Full-time(Nontenured). All members are contract-based employees. The contract is renewed in every 6 months based on Management by objective to assist individual growth and team growth
  • Benefits: Commuting expense, health insurance, employees' pension insurance
  • Flexible work-hour and location
  • Others: Part-Time or second job allowed

Synspective is a space start-up that provides business solutions based on data from satellites. Founded in 2018, they develop and operate their own synthetic aperture radar satellites.

While most start-ups in the Earth Observation sector are limited to one area such as data analytics or the development of satellite hardware, Synspective handles everything from developing satellites to data analytics to building solutions for clients based on this infrastructure.

With an emphasis on data, Synspective aims to become a true one-stop-shop player for solutions based on satellite data. With SAR satellites that apply the results of the Japanese Cabinet Office’s “ImPACT” program, Synspective’s goal is to create a platform capable of frequent data collection, and sell or use that data to offer solutions for government and business entities.

Synspective’s culture is defined by their concept of “Human Centered Design for Company”. They’re striving to build a strong organization that relies on the performance of each individual. To that end, they provide a flexible environment where specialists can work autonomously, empowering members to work whenever it enables them to do their best work.

Since the company is entering into a market that’s still developing, optimizing for the performance of each individual is essential for the success of the company’s business. They also want to support members in expressing their own ideas and hypothesis since they know that the satellite business still has many open questions.

Synspective is an organization full of highly-motivated specialists, so each full-time employee is on a 6-month contract. Members’ performance is evaluated every six months, and those who’ve made major contributions are rewarded for their effort. This also helps maintain an environment where everyone can work freely and independently among people focused on improvement and growth.

Synspective's policies during COVID-19 are as follows:

  • During COVID-19 all of their members are working from home. *They’ve opened up hiring for overseas candidates for a few positions.
  • Synspective was already working remotely before COVID-19 for most roles.
View Synspective's company page
Senior Applied Scientist (Remote OK) at Synspective
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