Senior Research Engineer

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Job Description

We are aiming to develop artificial intelligence that mass-produces inventions with offices in London and Tokyo. We are currently focused on the life sciences domain, developing and commercialising molecular-specific foundation models to realise new drug and enzyme discovery through AI.

Salary

• Annual salary: 10-15 million yen

Location

• 東京都新宿区内藤町1-6 (1-6 Naitomachi, Shinjuku, Tokyo, Japan)

Responsibilities

• Appropriate design of evaluation methods based on task-specific understanding of metric properties
• Hypothesis proposal, development implementation and performance validation of machine learning models for compound information
• Proposal and creation of features according to data and purpose.
• MLOps, implementation of distributed computing environments
• Training machine learning models, exploring and adding data to be used for inference
• Search for relevant papers, application and validation of concepts

Qualifications

• Empathy with mission, vision and values
• 6+ years' experience working as a software/machine learning engineer
• 5+ years' experience as a Machine Learning Engineer
• 4+ years' experience as a Deep Learning engineer
• Experience in developing GNN or generative models or Geometric Deep Learning
• At least 2 publications as first author in international conferences/ journals
• Experience in continuous delivery of machine learning models to the business
• Leadership experience in developing a team of 4 or more people
• Ability to formulate and specify mathematical algorithms
• High level of communication skills in English (e.g. TOEIC 850+ approx.)

Preferred Qualifications

• PhD in computer science, mathematics, physics or related field
• Experience in cheminformatics, bioinformatics or related fields
• Experience in distributed computing/high performance computing
• Practical experience as a data scientist
• Kaggle Master or Ground master

Portrait of a person

• Strong passion for artificial intelligence

About the Company

We are developing machine learning models for drug discovery and software for facilitating and automating research in the life-sciences industry.

Working hours

Remote work

• Monday, Wednesday, Thursday: Remote work
• Tuesday, Friday: Office work

Flextime system

• Core time 11:00 – 16:00
• Start time zone: 7:00 - 11:00
• Closing hours: 16:00- 22:00
• Break time: 60 min.
• Standard working hours per day: 8 hours

Salary increases

• Twice-yearly salary review

Various allowances

• Commuting allowance (with a cap) provided

Holidays and leave

• Weekends off and additional company holidays
• Annual paid leave, prenatal and postnatal leave, childcare leave, bereavement leave, etc.

Employee benefits

• A cosy working environment in the centre of Tokyo and surrounded by nature
• Free high-quality coffee and drinks
• An annual pass to Shinjuku Gyoen
• Office de Yasai
• Baby sitter discount tickets
• Health Check
• Flu vaccination
• Health insurance, pension, and employment benefits, among others