Salary
≈ $53k – $114k per year (Estimated)
Location
Hybrid (Singapore)
Seniority
Senior · 3+ years exp
Employment
Full-Time
Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Sep 9, 2024. GoTo Group scores A on the Alion truth index.
Overview
Company
Impact
Profile match
GoTo (PT GoTo Gojek Tokopedia Tbk) is Indonesia's largest digital ecosystem, formed in 2021 through the historic merger of ride-hailing pioneer Gojek and e-commerce giant Tokopedia. Headquartered in Jakarta and listed on the Indonesia Stock Exchange (IDX: GOTO), GoTo integrates three primary digital business pillars across Southeast Asia.
Backed by Peak XV Partners, Silicon Valley Investclub, Warburg Pincus
As a Data Scientist specializing in deep learning at GoTo Financial, you will tackle complex challenges in computer vision, voice, and text processing. You will lead the development and deployment of advanced AI models that directly impact our key business products. Your responsibilities will include enhancing our systems with cutting-edge deep learning models and ensuring they are scalable in a production environment. This role offers the opportunity to drive innovation, solve critical business challenges, and shape the future of AI-driven financial solutions at GoTo Financial.
What you will do?
- Work with data like images, videos, audio, and text etc.
- Design, train, optimize, and deploy deep learning models with GPU.
- Develop comprehensive unit tests and documentation, and rigorously evaluate and benchmark model performance and quality.
- Communicate effectively between the business team and the engineering team to gather and implement project requirements.
- Own the end-to-end process, from defining the technical problem to deploying the solution in collaboration with engineers.
- Stay current with the latest advancements in deep learning and AI technologies.
What you will need?
- 3+ years of experience in deep learning, particularly with computer vision, voice, and text processing.
- Proficient in data preprocessing, model training, evaluation, and optimisation.
- Practical experience in applying deep learning to solve real business problems, with models successfully deployed and used in production environments.
- Proficient with deep learning frameworks such as PyTorch, and familiar with Python, C++, and inference engines like NCNN.
- Experience with cloud platforms like GCP or AWS, and working knowledge of Android/iOS is a plus.
- Strong communication skills to understand business needs and effectively convey analytical solutions.
- Ability to write clear and concise technical documentation.
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