Job offer curation - ⁨Quantum Annealing⁩

Seeking a seasoned Backend Engineer who can architect scalable, high-performance systems for Japan's energy infrastructure while managing complex domain challenges and contributing to technical leadership across a growing organization. Company Overview Since our founding in 2019, we have provided a marketplace for energy providers and have grown to become Japan's largest online trading market, including major power companies. Our GTV (Gross Transaction Value) is approaching 3 trillion yen, and we aim to realize a 100 trillion yen market in annual transaction volume in the future. In 2024, we raised 6 billion yen in Series B funding from domestic and international institutional investors including DCM Ventures and Solos Capital Management, financial institutions, and 9 energy trading businesses including power, gas, and trading companies, and are actively investing in our development team. Products 1/ eSquare: Trading Platform Japan's first full-scale trading platform that allows online buying and selling of energy. 2/ eCompass: Market Data Platform A data platform that provides all energy-related data and market information necessary for power trading, such as power prices and fuel price market data. 3/ eScan: Market Risk Management Tool An ETRM (Energy Trading Risk Management System) specialized for Japanese electricity that visualizes business risk amounts from transaction status and market data. 4/ JCEX: Environmental Commodities Exchange A marketplace where domestic environmental commodities and overseas voluntary credits can be bought and sold online, supporting climate change mitigation and the realization of carbon neutrality in Japan. Backend Challenges - Domain-driven design and architecture design in anticipation of system scaling - High-level security, availability, and performance for building systems close to national infrastructure - Understanding complex energy domains while communicating with domain experts - Developing a management and people development system for a tech organization of

大規模言語モデル（LLM）の開発に特化したエンジニアとして、クライアントと連携しながら高度な言語モデル技術の研究開発を行います。具体的には、7B規模以上のLLMのFine-tuningおよびPre-training、大規模コーパスからのトレーニングデータ作成、業務特化型の小規模言語モデル（SLM）の開発を担当します。複数のGPUを活用した高度な機械学習モデルの構築、Embedding ModelやRerankingModelの開発も重要な業務となります。実際の使用シーンを意識したモデル開発を行い、複数部門からのフィードバックを得ながら、組織に大きなインパクトを与える革新的なAIソリューションの創出に貢献します。

創薬分野において最先端の計算科学技術を活用した研究開発業務を担当します。具体的には、Neural Network Potential（NNP）の開発、タンパク質の折りたたみ構造予測、ADMET（吸収・分布・代謝・排泄・毒性）予測モデルの構築、AIを活用した分子設計などの技術開発を行います。また、分子ドッキングや分子動力学法を用いたシミュレーション、Structure Based Drug Design（SBDD）やLigand Based Drug Design（LBDD）などの手法を駆使して、医薬品候補分子の探索・最適化を実施します。製薬企業との共同研究プロジェクトに参画し、最新の研究論文の調査・技術習得を行いながら、創薬現場の実課題解決に取り組みます。Python等を用いたソフトウェア開発やUnix/Linuxシステムでの計算環境構築も業務の一環として含まれます。