PM、PdM、コンサル経験のある方、
未経験だけどAI開発に強い関心がある方、
エンジニアだけどPM、PdMに興味がある方、大募集
AI総合研究所「NABLAS株式会社」は、東大発のスタートアップ企業です。
「Discover the gradients, Towards the future」をミッションとして掲げ、日々3つの事業を推進しています。
- R&D及びAIコンサルティング事業
▼R&D事業で保有するAIソリューション
▼Stable Diffusion対応のAI生成画像判別システムを開発
2. 独自技術・サービス開発
最先端のAI技術の恩恵をより幅広く社会に届け、AI時代のインフラとなる技術やサービスを提供すべく、研究開発だけでなく、サービス開発にも力を入れて取り組んでいます。深層学習を中心に、生成AI、フェイク検知、音声合成、製造業向けの外観検査など、保有している技術的アセットを活用した技術開発とサービス開発に取り組んでいます。先端AI技術の恩恵をより幅広く社会に届けることを目指し、B2BやB2C向けのサービスを開発・提供します。
- AI人材育成(iLect)事業
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ビジョン
私たちのビジョンは「後世で振り返った時に、NABLASの存在が次世代の発展に大きく貢献したと評価されるような、良き先人となる」ことです。
深層学習技術が発端となった第三次AIブームにより、AI技術は急速に発展しており、画像・音声・動画などあらゆるメディアを生成可能な生成AI、大規模言語モデル(LLM)を活用した「ChatGPT」、自動運転、AI医療、AI農業などあらゆる産業に大きな変革が訪れようとしています。技術が大きく進化する一方で、人と技術を繋いで橋渡しとしての役割を担いながら困難な課題を解決に導いていく存在が必要とされています。
私たちは、そのような役割を担いながら、単純労働からの開放、労働者・後継者不足の解消、AI時代の社会問題の解決といった多くの人々や社会にとって意義のある取り組みに挑戦し、次世代の礎となるような遺産を築くために日々研究開発や人材育成に取り組んでいます。
その目標達成に向けて、私たちは様々なAI技術の開発を行っています。特に、近年広く普及した生成AIで作られたフェイク情報拡散による社会的影響に対抗するための、ディープフェイク検知技術の開発や、製造業における製品品質の安定化や業務の自動化・効率化、後継者不足に貢献するような外観検査AIなどの開発にも取り組んでいます。
◆メディア掲載実績一部◆
NHK「フェイクバスターズ」
- ウィズフェイク"時代をどう生きるか 放送回
- Web記事「AIが生み出す偽情報 ウィズフェイク時代をどう生きるか」
- 戦争とAI偽情報が次々拡散/AI×人 共生できる?支配される? 放送回 (弊社取材協力箇所:25:29~)
日本テレビ「news every.」
- "自分の声"が悪用される? 「フェイクボイス」で振り込め詐欺 アメリカで年間15億円の被害
- 生成AIでニュースを偽造? 日テレ番組悪用の詐欺広告 一体どうやって?
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■組織構成
世界トップクラスのAI研究開発拠点となることを目指し、特にDeep Learning技術に特化した高い専門性を持つメンバーが集まって日々研究、ビジネス研究開発を行っています。
インターナショナルかつ多様性の高い組織体制が特徴です。NABLASに参加しているメンバーのバックグラウンドは多様で、一緒に仕事をすることで互いに多くの刺激があるメンバーが揃っていると自負しています。詳しくは以下の記事をご覧ください。
■働く環境
フルリモート中心の働き方を採用していますが、必要に応じてオフィスでの業務も可能です。オフィスは、38型大型曲面ディスプレイやアーロンチェアを全席に設置するなど、技術を支えるエンジニアが働きやすい技術者ファーストな環境づくりにこだわっています。オフィスにはボルダリングボードを導入するなど集中力を維持するための仕組みも整えています。社内の座席はフリーアドレス制となっており、役員からインターンまでフラットな環境です。業務の効率化を目的としたChatGPT Plusの支援制度もあり、積極的に業務へ活用していただけます。
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AI技術の導入に悩む企業に対して、技術ビジネス両面の観点から丁寧なヒアリングを行い、その後のプロジェクトの計画・立案からリードまでを行うAIプロジェクトマネージャーを募集しています AI開発や導入に関する広い知識と視野を持ち、クライアントの業務や現場の課題を解決へ導くためのプロジェクト牽引を担うポジションです。 私たちは、AI / Deep Learning技術に特化した高い専門性を持つ技術者集団として、一緒に困難な問題を解決するメンバーを募集しています。自身の専門性を活かし、多くの人々や社会にとって意義のある取り組みにチャレンジしてみませんか。
【応募資格】
特定ドメインに対する深い知識と経験
プロジェクトマネージメントの知識や経験
CV / NLP / 系列データ分析などの分野での研究・開発の経験
チーム開発経験
【優遇技術】
計算科学 / AI 分野での学位
Kaggleなどのデータ分析コンペティションの参加受賞経験
AtCoderなどの競技プログラミングの参加受賞経験
インターナショナルな環境での勤務経験
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Various AI projects are runningPM and consulting experience is highly needed
AI Research Institute "NABLAS Inc." is a startup company founded by the University of Tokyo. With our mission "Discover the gradients, Towards the future," we are actively advancing three business areas daily.
- R&D and AI Consulting Business
We embrace the mission "Discover the gradients, Towards the future" and continue to tackle difficult challenges daily as an AI research institute specializing in machine learning and deep learning.
We handle diverse data types including images, audio, time-series data, natural language (text), and tabular data. We analyze and identify the nature of data and challenges, then build optimal algorithms and system architectures.While AI technology is rapidly evolving, we incorporate the latest technological trends through continuous research, and commit broadly to the entire problem-solving flow from data analysis, model construction, system development, to operational deployment (MLOps, DevOps) to ensure project success.
▼AI Solutions from our R&D Business▼Development of AI-Generated Image Detection System Supporting Stable Diffusion
- Proprietary Technology & Service Development
To deliver the benefits of cutting-edge AI technology more broadly to society and provide technologies and services that will become infrastructure for the AI era, we focus not only on research and development but also on service development.
Centered on deep learning, we work on technology and service development utilizing our technological assets including generative AI, fake detection, voice synthesis, and visual inspection for manufacturing industries.
We aim to deliver the benefits of advanced AI technology more broadly to society by developing and providing B2B and B2C services.
- AI Human Resource Development (iLect) Business
We offer AI educational content officially licensed from the University of Tokyo and AI courses developed independently by our company.
We provide a wide range of courses including AI development engineer training to solve challenges with AI, courses for data scientists and project managers, and AI generalist training courses for advancing AI business utilization.
We also provide our independently developed scientific computing platform "iLect System," which allows users to easily access high-performance GPU computing environments without complex environment setup.
The iLect System is used not only for large-scale corporate training but also in research and development settings.Vision
Our vision is to "become good predecessors who, when looked back upon by future generations, will be evaluated as having greatly contributed to the development of the next generation through NABLAS's existence.
"
Due to the third AI boom triggered by deep learning technology, AI technology is rapidly developing, and major transformations are about to occur across all industries through generative AI capable of creating images, audio, and videos, "ChatGPT" utilizing large language models (LLM), autonomous driving, AI healthcare, and AI agriculture.
While technology is evolving significantly, there is a need for entities that can bridge people and technology while solving difficult challenges.
We embrace this role and work daily on research, development, and human resource development to tackle meaningful initiatives for many people and society, such as liberation from simple labor, resolution of worker and successor shortages, and solving social problems in the AI era, building a legacy that will serve as the foundation for the next generation.
In particular, we work on developing deepfake detection technology to counter the social impact of fake information spread by generative AI that has become widespread in recent years, and visual inspection AI that contributes to product quality stabilization, automation and efficiency improvement in manufacturing, and addressing successor shortages.
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