楽天グループ株式会社：1025555 Machine Learning Engineer – Frontier Research Department (FRD)

会社名

楽天グループ株式会社

会社概要

未来を信じ、より良い明日を創っていく。
イノベーションを通じて、人々と社会をエンパワーメントする。私たちは、そんな想いを大切に世界の人々に喜びと楽しさを届けます。
楽天は、E コマース、FinTech、デジタルコンテンツ、通信など、70 を超えるサービスを展開し、世界10 億以上のユーザーに利用されています。
これら様々なサービスを、楽天会員を中心としたメンバーシップを軸に有機的に結び付け、他にはない独自の「楽天エコシステム」を形成しています。ダイバーシティ推進は、楽天にとって最優先の企業戦略のひとつです。従業員の出身は70カ国・地域以上。世界中からユニークで多様な文化的背景や視点を持つ優秀な人材が集まり、イノベーションの原動力になっています。社内カフェテリアにはベジタリアン、ハラル対応のメニューを用意。礼拝所（Prayer room）もあります。
また、仕事と育児の両立支援や、障がい者雇用・活躍促進も積極的に推進。社内のLGBT（※1）当事者やアライ（※2）に対して、情報共有やサポート体制の強化も進めています。誰もが自分らしく力を最大限発揮して働ける。それが楽天のダイバーシティです。

70を超えるサービスを提供し、世界30カ国にサービス展開拠点を持ち、従業員の出身国・地域数は100を超え、オープンポジション制度を活用して多様なキャリアを描くことができる点も魅力です。
フレックスタイム制度、事情に応じたリモートワークの活用が可能です。本社には託児所やフィットネスジム、三食無料で利用可能なカフェテリアが併設されるなど、社員を支える環境が整備されています。

ポジション

1025555 Machine Learning Engineer - Frontier Research Department (FRD)

仕事内容

Job Description:

Business Overview

Rakuten Group, Inc. is a global leader in internet services, offering a dynamic ecosystem of over 70 services across e-commerce, FinTech, digital content, and communications. Founded in 1997, Rakuten’s mission is to empower people and society through innovation and entrepreneurship. With a vision of driving disruptive innovation globally, Rakuten integrates various services under a unified brand, supported by a unique ecosystem model that leverages data and AI. The company’s popular "Rakuten Points" program and “One ID” system enhance user engagement, providing seamless access to its diverse services. Headquartered in Japan, Rakuten has achieved 27 consecutive years of revenue growth and is recognized for fostering a diverse and inclusive corporate culture, with English as its official language since 2012. In recent years, Rakuten has focused on AI and sustainability initiatives, aiming to drive further technological advancements and achieve carbon neutrality.



Department Overview

The search and deep learning Models and Algorithms team is responsible for developing cutting-edge solutions for various NLP tasks using neural networks, machine learning algorithms, and optimization techniques. The team works on challenging problems such as semantic search, large language model (LLM) training, and more. The team also leverages state-of-the-art frameworks such as transformers to train and deploy efficient and accurate models. The ideal candidate for this team should have a strong background in deep learning, NLP, CV, Python programming, and data analysis.

Position:

Position Details

Our Rakuten team is responsible for developing state-of-the-art machine learning models and strategies to improve E-commerce conversion through search and recommendation algorithm improvements.

1. Build industry-leading search & recommendation system; develop highly scalable classifiers and tools leveraging machine learning; work on cutting-edge research models in NLP.

2. Understand product objectives and machine learning techniques; improve model and recommendation strategy.

3. Understand user behavior and apply ML algorithms to optimize E-commerce conversion and production experience.

4. Understand the diversity of Rakuten's business requirements, data, and assets; build cross-scenario technology backbones.

5. Work with Rakuten cross-functional teams to grow Rakuten in important regional markets.

求める経験・スキル

Mandatory Qualifications:

- One year or more experience in one or more of the following areas: machine learning, search, recommendation systems, data mining, or other related areas.

- Bachelor or higher degree in computer science or a related technical discipline.
- Solid experience with data structures or algorithms.
- Software development experience through hands-on coding in a general-purpose programming language.
- Familiarity with Triton or CUDA kernel programming is highly desirable.
- Strong communication and teamwork skills.
-Passion for technology and solving challenging problems.