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AI Engineer

AI Engineer Full-time Japan

Job details

Not specified Salary
Japan Eligibility
Not specified Experience
Full-time Employment

About this role

Role overview

Research and build machine learning models, with an emphasis on deep learning, and apply the resulting algorithms to a platform and client projects. The role combines investigation of current research with hands-on model development and technical consulting, including work connected to AI drug discovery.

Responsibilities

- Review current research papers and developments in machine learning and artificial intelligence. - Develop models and algorithms using deep learning and machine learning methods. - Build deep learning models from the ground up and apply them to practical problems. - Advise on client projects and implement or report on technical work. - Contribute to projects involving AI drug discovery.

Requirements

- Substantial research and development experience with machine learning and deep learning. - Practical programming experience. - Experience with deep learning frameworks such as PyTorch or TensorFlow. - Ability to develop a range of deep learning models from scratch. - Strong motivation to learn about AI drug discovery and interest in research papers in the field.

Nice to have

- A PhD or equivalent experience in computer science, mathematics, chemistry, biology, physics, or a related area. - Previous experience with AI drug discovery.

Benefits and work setup

- Remote work is possible, with work based either from home or an office in Tokyo. - The team works internationally and includes researchers from varied scientific and technical disciplines. - Annual salary is listed as JPY 6,000,000–10,000,000. - The role includes a monthly remote-work allowance, reimbursement for commuting on office days, and periodic reimbursement for books and online courses. - Health checks, social insurance, paid leave, special leave, summer holidays, and year-end holidays are provided.

Skills detected in the listing

Machine Learning
Detected Nov 7, 2026
Last verified Nov 12, 2026

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