- Experience
- 3+ yrs
- Salary
- —
- Openings
- 1
- Posted
- 4 days ago
- Work mode
- In office
- Resume
- Required to apply
Where you'll work
Job description
Role overview
GoTo Financial is looking for a senior data scientist with deep learning expertise to solve advanced problems across computer vision, voice, and text. In this role, you will develop and put into production AI models that support important business products, while also making sure the solutions are robust and scalable for real-world use.
You will have the chance to shape how AI is applied to financial products, work on technically demanding problems, and contribute to the growth of GoTo Financial’s AI capabilities.
What you will do
- Handle and learn from multiple data types, including images, video, audio, and text.
- Build, tune, train, and deploy deep learning models using GPU resources.
- Create unit tests and supporting documentation, then assess and benchmark model accuracy, quality, and overall performance.
- Work closely with both business stakeholders and engineering teams to clarify needs and turn them into workable solutions.
- Take responsibility for the full delivery lifecycle, from framing the technical problem to launching the solution with engineers.
- Keep up with the latest progress in deep learning and AI.
What the role requires
- At least 3 years of hands-on experience in deep learning, especially in computer vision, voice, and text processing.
- Strong ability in data preparation, model training, evaluation, and optimisation.
- Proven experience using deep learning to solve real business issues, with models that have been deployed and used in production.
- Working knowledge of deep learning frameworks such as PyTorch, along with Python, C++, and inference tools such as NCNN.
- Experience with cloud environments such as GCP or AWS; familiarity with Android or iOS is an added advantage.
- Good communication skills to understand business needs and explain analytical solutions clearly.
- Ability to produce clear, concise technical documentation.
Team and business context
The data science team at GoTo Financial builds advanced deep learning solutions that power important business use cases. The team develops computer vision systems for KYC, which is a leading KYC solution in Indonesia and is being expanded to external customers. It also works on deep learning applications for voice and text.
The broader GoTo group is Indonesia’s largest digital ecosystem, built to help more people participate in and benefit from the digital economy. Its services span mobility, delivery, payments, financial services, merchant technology solutions, e-commerce through Tokopedia, and banking through its partnership with Bank Jago.
Gojek, part of the GoTo ecosystem, is a leading on-demand platform in Southeast Asia with more than 2.5 million driver partners. It offers transportation, food delivery, logistics, and other services, with a mission to solve consumer problems and improve living standards by connecting people to trusted service providers.
GoTo Financial focuses on expanding financial inclusion through consumer and merchant products such as GoPay, GoPayLater, Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. Its ecosystem is designed to serve businesses of all sizes and support long-term growth with a mission to make things happen, make them happen together, and make them last.
Important notice
Job seekers should verify that any opportunity related to GoTo or its business units comes from an official company recruitment channel. The company states that it is not responsible for job offers or postings that do not originate from its official sources, and applicants are encouraged to do their own checks to avoid recruitment scams.