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AI Engineer 1More

9M JPY - ***M JPY

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Tokyo 1More

Full-time (permanent)

Online Interview: Yes

Remote Work from Overseas: Yes / Remote Work in Japan: No

Top-Selling Points

Rate of Foreigners

Less Than

Frequency of English Usage

Less Than

Related Skills

Experienced area / job

Big Data Deep Learning Machine Learning

Library/Framework

NumPy Pandas

Programming Language

Python R

Data analysis / Machine learning

Tensorflow

Management/System project Experience

Others

Language Requirements

Required

Preferred

Job Description

The Group R&amp;D Division provides technical support, development, and analysis to help businesses succeed.
Within this division is the AI R&amp;D Office, which provides support related to data analysis and AI. We are also constantly researching and developing the latest technologies, and are quick to introduce them into business to achieve results.

You will participate in a joint research project on senescent cells with the Institute of Medical Science of the University of Tokyo.
In the field of single cell analysis, which is a hot topic in bioinformatics (dry analysis), we are conducting cutting-edge research on senescent cells, which is one of the hottest areas of research today.
We are applying the latest generation AI foundation models and various machine learning techniques, and delving deeply into the nature of data and AI models to uncover the genetic mechanisms of senescent cells.


The AI R&amp;D office also conducts various business projects, and you can join other projects while collaborating on research or afterwards, depending on your performance, to develop your desired career.

◆Fintech projects
Understanding the essence of the financial services we offer, we improve profitability by successfully handling financial data that is difficult to predict, while making full use of data science techniques such as mathematical modeling and machine learning.

◆Adtech projects
In RTB (Real Time Bidding), one of the main mechanisms of Internet advertising, we mainly design and develop machine learning models and measure the effectiveness of DSP (Demand-Side Platform), which optimizes the cost effectiveness of advertisers.

◆Application projects
We will improve the KPI of the service by measuring the effectiveness of new functions and measures of the application that facilitates free WiFi connection, using causal inference techniques and setting up a system to make data-driven management decisions.

◆Other projects
With respect to crypto asset trading, fraud detection, etc., we will apply data analysis and machine learning techniques to provide support.

Research and development work
The project team members will spend a certain amount of time researching cutting-edge machine learning methods and new applications of machine learning while performing their project work.
In addition, members appointed on a quarterly basis will focus on research and development.

The appeal of the position is that it is a great opportunity to work in one of the most cutting-edge areas of biology.
The position will allow you to be involved in extremely challenging research that makes full use of aging cells, one of the most cutting-edge areas of biology, and cutting-edge AI technology, and contribute to the elucidation of mechanisms unknown to humankind.
You will constantly learn cutting-edge machine learning, deep learning, statistical methods, etc.
Acquire three important skills (problem solving, data science, and engineering) and greatly develop one or more of your strengths.
You will have many opportunities to interact with data scientists from different departments who are in charge of different projects through study sessions and other opportunities to improve your data science skills.
As a department under the direct control of the group CTO, the selection of technologies is left to the field, so you will be able to verify and introduce cutting-edge technologies on your own.
Depending on your performance and motivation, you can take on the challenge of freely conducting research and development on the team's key themes.

In addition, the following are some of the advantages of being involved in projects other than joint research on senescent cells
Opportunities to launch projects from scratch to solve various issues through data analysis and AI technologies for a wide range of GMO Internet Group's services
You will be able to work directly with data in a variety of areas, including the world's largest financial data and ad-tech data of several hundred terabytes in size, and learn techniques for analyzing big data (BigQuery, PySpark, etc.)
Analyze various types of data such as time-series data, user behavior data, articles, etc.
Because all of our services are in-house, you will be able to work with our business units to set issues, develop solutions, and implement improvement cycles based on data science.
Our team is diverse, consisting of people with academic backgrounds, such as PhDs and engineers.

Technology used
◆Analysis methods
Single cell RNA analysis, gene expression analysis
Machine learning:
Transformer systems (large-scale language models, single-cell generative AI models, etc.), graph neural networks (GNN), multilayer perceptrons (MLP), ensemble learning/gradient boosting (Gradient Boost Tree + LR, Random Forest, ExtraTree , Ada Boost, XGBoost, LightGBM), PCA, FP-Growth, Word2Growth ExtraTree , Ada Boost, XGBoost, LightGBM), PCA, FP-Growth, Word2Vec, Doc2Vec, collaborative filtering, Bayesian estimation, HMM models (hidden Markov models)
Statistical Analysis:
t-test, Chi-square test, F-test, binomial test, Kolmogorov-Smirnov test, Shapiro-Wilk test, sampling (MCMC, bootstrap method, etc.), analysis of variance, causal inference (difference in differences method, etc.)

◆Development techniques/environment
Programming/Frameworks
R, Python, PyData (numpy, scipy, pandas, etc.), Streamlit
PyTorch, TensorFlow, LangChain, Spark (PySpark)
Cloud/on-premise (middleware)
SHIROKANE
GPU workstation
Google Cloud (GCS, BigQuery, VertexAI, Dataflow, etc.)
AWS (S3, Athena, EMR/Serverless, StepFunction, SageMaker, Bedrock, etc.)
MySQL, MariaDB, Percona Server, PostgreSQL, Galera Cluster, Oracle, Hive, Hadoop/HDFS
ConoHa (GPU server)
Large-scale language model (LLM) related
OpenAI API, Llama3, LangChain, HuggingFace

Required Skills and Experiences

【Required】 Meet all of the following ・Experience in research that touches on machine learning and deep learning theory ・Deep knowledge of deep learning and generative AI theory in particular ・PhD in information science ・Knowledge of machine learning and deep learning in general ・Able to write in R or Python 【Preferred】・Experience using machine learning/deep learning in real-world products or research to deliver results 【Ideal Applicants】・Likes to consider all approaches to solving business problems and find the best way to do it, rather than just a method. ・Interested in anything, and able to challenge new technologies and new tasks with passion. ・Able to work as a team to achieve great results that cannot be done alone ・Critical thinking, not just relying on data and results

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Working Condition

10:00 - 19:00
(All with 1 hour break and 8 hours of actual working hours)
Overtime work may be required depending on the work situation.
Fixed Time System
None
Salary increase and decrease 4 times a year (January, April, July, and October)
Refresh Leave
Nursing Care Leave
Parental Leave
Summer Holiday
Sick Leave
Saturday/Sunday/National Holiday
Others
New Year Holiday
Annual Paid Leave
Bereavement Leave
Commuting Allowance
Full Social Insurance
Employee Shareholding System
Defined Contribution Pension
Recreation Assistance
Vacations and Vacations
2 days off per week (Saturdays and Sundays), national holidays, summer vacation (5 working days), year-end and New Year's holidays (6 days)
Paid vacations, paid time off, paid time-off system

Special leave
Refreshment leave
Marriage leave
Maternity leave
Childcare leave
Nursing care leave
Nursing care leave
Spousal maternity leave
Sick leave
Bereavement leave, etc.

Benefits】】】 Defined Contribution Pension Plan
 Defined contribution pension plan
Various social insurances (health insurance, welfare pension, defined benefit pension plan, unemployment insurance, workers' accident compensation insurance)
Employee Stock Ownership Plan
Welfare subsidy system (subsidies for sports clubs, English conversation, etc.)
Contracted recreational facilities
Transportation expenses (within tax exemption limits)
Celebration, condolence, and visitation allowance
Childcare/nursing care leave and shortened working hour system
Event subsidy system
System to receive a portion of salary in bitcoin
◆Fully equipped welfare facilities
　(24-hour free in-house cafe, massage room, nap space, day care center)

RECRUITMENT PROCESS

Step1] Entry
　 Step1】Entry
Step2】Application Screening
　 Step2] Application Screening
Step3】Interview with the person in charge of the department
　 Step4] Technical examination
Step4] Technical examination
　 Step4] Technical examination ▼ [Step5] Final interview with executive officer
Step5] Final interview with a board member
　　Step5] Final interview with a board member
Step6] Offer of employment

Please allow 3 to 4 weeks from the time of application to the time of job offer.
*In principle, we currently conduct online interviews using Zoom.
　Only for the final selection, there is a possibility that you may be asked to visit our office due to the situation of the spread of the new coronavirus infection.

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