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Rakuten Group, Inc. is a global leader in internet services and has a diverse ecosystem spanning across e-commerce, fintech, communications and more serving approximately 1.8 billion members worldwide. Founded in Tokyo in 1997, the Group operates in over 30 countries and regions with more than 30,000 employees. Based in Singapore's Central Business District, Rakuten Asia Pte. Ltd. serves as the regional headquarters for Asia, driving value through areas such as advertising product development, product strategy, and data management to support Rakuten Group's global ecosystem. Learn more at: https://global.rakuten.com/corp/ The "AI Lab" organization within Rakuten is focused on advancing artificial intelligence applications across the company. It plays a key role in developing innovative AI solutions, and fostering collaboration to integrate AI into various Rakuten services. Main Responsibilities Analyze assistant interactions and internal evaluations to identify improvement opportunities. Generate data-driven insights to guide product development and feature prioritization. Conduct research to improve agent architecture and user intent understanding to enhance response quality. Design and execute experiments, identifying the right metrics to evaluate impact. Collaborate with engineers and other Agent Science team members to implement and productionize improvements. Leverage diverse datasets across Rakuten’s ecosystem to improve assistant capabilities and deliver customer value. Clearly communicate findings and contribute to research and product decisions. Mandatory Qualifications: Over 3 years of experience in data science, machine learning, or a related quantitative field. Strong Python and ML skills for data processing, analysis, and prototyping. Proficiency in SQL and working with large-scale structured data. Solid foundation in statistics, experimental design, and predictive modeling. Possesses strong problem identification and formulation skills, with a track record of proactively identifying potential issues and developing effective solutions. Demonstrated ability to thoroughly research and evaluate potential solutions and identify the optimal approach for a given problem. Excellent written and verbal communication skills, with the ability to clearly articulate complex technical concepts to both technical and non-technical audiences. Rakuten is an equal opportunities employer and welcomes applications regardless of sex, marital status, ethnic origin, sexual orientation, religious belief, or age.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.
