Software Engineer (AI4Science)

Key Responsibilities

• Rapidly prototype new software architectures, conduct objective evaluations, and iterate based on user feedback
• Productionize AI research prototypes into secure, reliable, and maintainable production systems
• Design, build, and maintain robust engineering infrastructure, CI/CD pipelines, and observability tools
• Develop agentic workflows, tool integration frameworks, and web/API interfaces for scientific domain applications
• Collaborate closely with research scientists and domain experts to integrate machine learning models into real-world scientific workflows

Required Skills and Experience

• Strong software engineering and distributed systems fundamentals
• Proficiency in Python and Typescript, experience working in large codebases and team-based software development using CI/CD and system observability
• Hands-on experience managing, deploying, or scaling workloads on GPU clusters or high-performance compute (HPC) infrastructure
• Passionate about using AI to accelerate scientific discovery
• Comfortable navigating ambiguity and defining problems in a rapidly evolving research environment
• Demonstrated track record of evaluating architectural trade-offs and shipping software in fast-moving or emerging technical domains
• Language: English communication skills

Preferred Skills and Experience

• Track record of deploying agentic systems or LLM workflows in production environments
• Hands-on experience or deep interest in AI agents, tool calling, Model Context Protocol (MCP), or agent harnesses
• Background in addressing key software or AI challenges across scientific fields
• Experience building web applications or API services capable of serving high concurrent user traffic
• Direct experience with drug discovery workflows (e.g., target identification, lead optimization, ADMET modeling, or clinical data analysis)
• Hands-on experience training or fine-tuning ML models (LLMs, protein language models, or other deep learning architectures)

Ideal Candidate

• A candidate who shares our mission and is motivated to embrace new business opportunities.

Salary

• 想定理論年収：6,500,000円～18,000,000円
  • ※上限金額はその限りではございません

Location

• 東京都港区海岸一丁目7番1号

Mission

• Research and development of AI and machine learning (including LLMs and their applications) for science, engineering, and industry (such as life science, drug discovery, materials science, and energy).
• Development of technologies to advance research and industrial applications in the above fields as well as commercialization

What We Offer

• Bridge science and generative AI toward real-world applications and commercialization

Working Hours

• フレックス勤務：可
• 所定労働時間：午前9時〜午後5時45分
• 休憩：1時間
• 時間外労働：有り

賃金・賞与

• 月給：541,667円～1,500,000円
• 想定理論年収：6,500,000円～18,000,000円
  • ※上限金額はその限りではございません
  • ※月給・想定理論年収：基本給＋固定時間外手当(35時間相当)
  • ※時間外手当は一般職のみとなり、かつ、固定時間外手当(35時間)を超えて勤務した場合は実績に応じて支給いたします
  • ※別途インセンティブが支給されることがあります

Allowances

• 通勤手当有り（上限：150,000円/月）
• 一般職：時間外勤務手当、深夜勤務手当、休日勤務手当、通勤手当など
• 管理職：マネジメント手当、深夜勤務手当、通勤手当など

Holidays

• 土日完全週休二日、国⺠の祝日、
• 年末年始(12月29日〜1月3日)、その他会社が指定した日
• 年次有給休暇（6日〜21日）
  • ※入社月によって付与日数は異なります。

Welfare

• 健康保険、雇用保険、労災保険、厚生年金
• ベネフィット・ワン、プレミアム優待、
• 財形貯蓄制度、総合福祉団体定期保険、
• 保険制度（団体生命保険、団体扱い生命保険、団体損害保険、団体扱い損害保険など）、
• 確定拠出年金（401K）

出社頻度

• リモートワークと出社のベストミックス（出社頻度の規定なし）
  • ※平均実績 週1～2日出社
  • ※業務の必要性に応じて出社指示の可能性あり
• 国内遠方居住の場合は、フルリモート可。但し事前申請が必須。
  • （尚、遠方居住でも出社時の交通費は会社負担（上限あり））