Machine Learning Engineer, Search & Recommendation - Machine Learning & Deep Learning Engineering Department (MDE)

Rakuten Crimson House

Rakuten

楽天グループ株式会社のコーポレートサイトです。企業情報や投資家情報、プレスリリース、サステナビリティ情報、採用情報などを掲載しています。楽天グループは、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ことを目指しています。

View all jobs at Rakuten

Apply now Apply later

Job Description:

The Machine learning and Deep learning Engineering Department (MDE) is a group of engineers and scientists who specialize in natural language processing (NLP), search, and recommendation systems. We conduct state-of-the-art research and apply cutting-edge technologies, such as transformer model, dense retrieval, distributed GPU training, and large-scale machine learning, to a variety of Rakuten products and services. We are looking for passionate experts in machine learning research and engineering to join us in our journey to define the next-generation e-commerce experience.

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.

 

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.

Qualifications

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

2. Bachelor or higher degree in computer science or a related technical discipline.

3. Solid experience with data structures or algorithms.

4. Software development experience through hands-on coding in a general-purpose programming language.

5. Familiarity with Triton or CUDA kernel programming is highly desirable.

6. Strong communication and teamwork skills.

7. Passion for technology and solving challenging problems.

 

 

Rakuten is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At Rakuten, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

#engineer 
#technologyservicediv 

Apply now Apply later

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  11  2  0

Tags: Computer Science CUDA Data analysis Data Mining Deep Learning E-commerce Engineering GPU LLMs Machine Learning ML models NLP Python Research Transformers

Region: Asia/Pacific
Country: Japan

More jobs like this