G Talent Top
Jobs
Machine Learning Engineer / Hybrid Work / Major Internet Service

Machine Learning Engineer / Hybrid Work / Major Internet Service

Tokyo

Fulltime

Remote

Large Scale Company

Listed Company

Own Products/Services

Global Business

Many Foreign Employees

Industry: Major Internet-related Service Provider

IT Skills: Java, Pandas, Python, Numpy

Working hours: Fixed Time System

Salary: 6 Million yen〜10 Million yen

Job Description: The Group R&D Division is a department that provides technical support, development, and analysis for startups and cross-group projects that the company is focusing on in its business areas to support business success. Within this department is the AI R&D Office, which provides support related to data analysis and AI. They are also constantly researching and developing the latest technologies and are the first to introduce them into the business, leading to results. You will first participate in one of the following. After that, you can further develop your expertise or join other projects to develop your desired career depending on your performance. ◆Fintech (Fintech) Projects Understanding the nature of the financial services offered by GMO Internet Group, and using data science techniques such as mathematical modeling and machine learning to successfully handle difficult-to-predict financial data and improve profitability. ◆Adtech (Adtech) projects In RTB (Real Time Bidding), one of the main mechanisms of Internet advertising, we mainly design and develop machine learning models for DSP (Demand-Side Platform), which optimizes cost-effectiveness for advertisers, and measure its effectiveness. ◆App projects Measuring the effectiveness of new features and measures for apps that facilitate free WiFi access, using causal inference techniques to improve the KPI of the service by setting up a system for data-driven management decision making. ◆Other projects Support the application of data analysis and machine learning techniques with respect to crypto asset trading, fraud detection, etc. 【R&D work】・While working on the project, all members spend a certain amount of time researching cutting-edge machine learning methods and new machine learning applications. ・In addition, a member of the team is appointed on a quarterly basis to focus on research and development. 【Attractiveness of this position】 You will have the opportunity to launch projects from scratch to solve various issues through data analysis and AI technologies for the company group's diverse services. You will be able to directly handle a variety of data, 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.). You will be able to analyze various types of data such as time-series data, user behavior data, and articles. You will constantly learn about the business domain of the projects you are in charge of, as well as cutting-edge machine learning, deep learning, and statistical methods. You will acquire three important skills (business problem solving, data science, and engineering) and can 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 enhance your data science skills. You can develop your engineering skills as you often work together with members of the Next Generation System Laboratory, an elite group of engineers under the Group's Research and Development Division. As a department under the direct control of the group CTO, the selection of technologies is left to the field, allowing us to verify and introduce cutting-edge technologies on our own. Since all services are in-house, you will be able to work with the business unit to set issues and come up with solutions on your own, and carry out improvement cycles based on data science. Depending on the individual's performance and motivation, you will be able to take on the challenge of freely conducting research and development work on the team's key themes. The team is diverse, consisting of PhDs who have worked in academic fields, engineers, and others. 【Technology used】 ◆Analysis Techniques Machine learning: Transformer systems (large-scale language models, etc.), graph neural networks (GNN), multilayer perceptron (MLP), ensemble learning/gradient boosting (Gradient Boost Tree + LR, Random Forest, 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 Technology/Environment Programming/Frameworks Python, PyData (numpy, scipy, pandas, etc.), Streamlit PyTorch, TensorFlow, LangChain, Spark (PySpark) Cloud/on-premise (middleware) 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 ◆Development tools Atlassian (Jira, Confluence), Trello VS Code, PyCharm, Jupyter GitHub (Copilot) Tableau, Looker Studio, metabase ChatGPT, Gemini, Claude ◆Development Methodology Agile development (scrum-based)

Required Skills: 【Required】 Meet all of the following criteria ・Experience in using machine learning/deep learning in actual products or research to deliver results. ・Experience implementing machine learning models in production ・Able to perform proper testing in system development. ・Able to write Python and understand object-oriented programming. ・Knowledge of machine learning and deep learning in general 【Preferred】・Ph.D. degree. ・Basic knowledge of “Probability Theory and Statistics.” 【Ideal Applicants】・Likes to consider all approaches to solving business problems and finding the best way to do it, rather than just using a method. ・Interested in and passionate about anything and everything, and able to take on new technologies and new tasks ・Able to work as a team to achieve great results that cannot be done alone ・Critical thinking, not just relying on data and results

Required Language Skills