About Recursive
As the world's population grows, we are facing a number of global challenges in the realms of environmental conservation, societal equity and ensuring that nobody is left behind in the transition to a digital economy. Artificial intelligence is a key technology to not only address some symptoms of these issues, but also helping create completely new innovative approaches that can create a more sustainable economy and lifestyle.
Recursive is an AI consulting company based in Japan working on developing solutions to some of these challenging problems. We collaborate with large Japanese enterprises to create innovative solutions to sustainability challenges, merging in our expertise in AI research and our client's domain knowledge. Our development projects focus around the main themes of improving efficiency, accelerating innovation, risk mitigation and better work and education.
Recursive is founded by Tiago Ramalho and Katsutoshi Yamada. Tiago was a Senior Research Engineer at Google Deepmind and Lead Research scientist at Cogent labs and brings years of machine learning expertise to the company. Katsutoshi is a serial entrepreneur and AI expert with experience in developing and establishing innovative business models in Japan and abroad.
Founded in 2020, we are now looking to grow and expand our impact further, building on previous successes. One of many initiatives we are currently pursuing is a system to optimize irrigation of peatlands in Indonesia, helping to prevent forest fires and maximize carbon absorption. Learn more about this project by watching our presentation at the Google Cloud for Sustainability event as well as Tiago's talk at Pivot.
Visit our homepage to learn more about Recursive.
The role
We are looking for passionate students who would like to start their career in the Machine Learning industry. You will have the opportunity to work on exciting machine learning projects with our MLE team including members from Google Deepmind, the world's top machine learning research laboratory.
Time commitment: negotiable.
Roles and responsibilities
- Running and modifying Machine Learning experiments
- Analysing experimental results
- Writing experiment reports
- Reading papers on the latest machine learning research
- Test novel algorithms by modifying open source code, or development from scratch
Skills
- Conversational English
- Python programming ability
- A background in a STEM field
- Eager to learn
What you'll get at Recursive
In addition to a competitive salary and a generous personal time off allowance, the following aspects are central to our company culture:
- Hybrid work and Work-life balance: we operate short core hours, and let team members fit their working time to their life circumstances. We believe people do their best work when they are trusted and released from artificial scheduling constraints.
- Real responsibility: as an early employee in an ambitious startup we give you a lot of responsibility (and expect you to own it). We are looking for people who want this.
- Growth: you bring a lot of experience to the table. We won't stop here - expect an incredibly steep learning curve and the growth opportunities that come with that.
We are an equal-opportunity employer and value diversity. We consider all applications equally and strongly encourage women and people from groups traditionally underrepresented in tech to apply. We can help with visa sponsorship.
Recursiveについて
RecursiveはSustainability × AIをコンセプトにしたAIスタートアップです。世界の人口増加に伴い、私たちは、環境保全、社会的公平性、デジタル経済への移行に誰も取り残されないようにすることなど、さまざまなグローバルな課題に直面しています。人工知能は、これらの課題の一部を解決するだけでなく、より持続可能な経済とライフスタイルを実現するための全く新しい革新的なアプローチを生み出すのに役立つ重要な技術です。Recursiveは、日本に拠点を置くAIコンサルティング会社で、これらの困難な問題に対するソリューションの開発に取り組んでいます。私たちは、国内外の大企業と協力して、持続可能性の課題に対する革新的なソリューションを生み出し、私たちのAI研究の専門知識とクライアントのドメイン知識を融合させています。私たちの開発プロジェクトは、効率性の向上、イノベーションの加速、リスクの軽減、より良い仕事と教育といった主なテーマに焦点を当てています。Recursiveは、ティアゴ・ラマルと山田勝俊によって設立されました。ティアゴは、Google Deepmindのシニア・リサーチ・エンジニア、Cogent labsのリード・リサーチ・サイエンティストを務め、長年にわたる機械学習の専門知識で会社に貢献しました。山田勝俊は、連続起業家であり、AIの専門家として、国内外で革新的なビジネスモデルの開発・確立に携わってきました。
役割
私たちは、機械学習業界でキャリアをスタートさせたいと熱望する学生を求めています。Google DeepMind、世界トップクラスの機械学習研究所のメンバーを含む、私たちのMLEチームと一緒に、エキサイティングな機械学習プロジェクトに取り組む機会を提供します。
役割と責任
- 機械学習の実験の実行と修正
- 実験結果の分析
- 実験報告書の作成
- 最新の機械学習研究に関する論文の読解
- オープンソースコードの修正やゼロからの開発による新規アルゴリズムのテスト
スキル
- 会話レベルの英語
- Pythonプログラミング能力
- STEM分野のバックグラウンド
- 学習意欲
Recursiveで得られるもの
競争力のある給与と寛大な個人休暇手当に加えて、以下の点が当社の企業文化の中心となっています。
- ワークライフバランス働く親や夜更かしをする人にも十分な柔軟性を与えるため、コアタイムを短く設定しています。私たちはNetflixのWork rules manifestoを強く信じています。
- 真の責任野心的なスタートアップの初期の社員として、私たちはあなたに多くの責任を与えますそして、あなたがその責任を持つことを期待します。私たちはこれを望んでいる人を求めています。
- 成長すでにたくさんの経験があり、その経験をRecursiveで生かすことが出来るとしても、ここで終わりではありません。常に非常に急な学習曲線とそれに伴う成長を期待しています。
当社は、平等な機会を提供する雇用主であり、多様性を重視しています。すべての応募者を平等に考慮し、女性や従来技術分野で十分な地位を得ていなかったグループの人々の応募を強く奨励しています。外国籍の場合はビザ取得を支援します。
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