Get to Know the Team
The Integrity team acts as the guardians of all our users on Grab. Our mission is to be the most trusted platform in the world for protecting individuals and businesses in the domain of fraud risk digital identity and safety. The data science team leverages rich datasets to build AI solutions to solve these tough problems. Were a hands-on team involved in the entire modelling lifecycle: from data exploration and model development to production deployment and model refresh.
Get to Know the Role
We are looking for Senior Data Scientists specialising in Computer Vision and Multimodal LLMs post-training.
Youll focus on developing advanced models for precise OCR KYC verification and document/image information extraction. This work directly supports enhanced user onboarding verification workflows and several downstream applications. Youll use modern technologies including Multimodal LLMs to improve visual intelligence capabilities.
The Critical Tasks You Will Perform
You will:
- Build at Massive Scale: Design train and fine-tune state-of-the-art models including OCR and Vision LLMs to analyse and extract information from complex documents. Your work will be at the core of Grabs ability to scale KYC and onboarding operations.
- Architect and Own End-to-End Solutions: Architect design and own the document processing pipelines that solve critical business challenges like identity verification from initial concept to live production models.
- Productionize and Optimize: Deploy your models into our high-throughput production environment implement monitoring for production metrics and iterate to improve performance latency and efficiency.
- Drive Innovation: Research and prototype with the latest advancements in AI translating cutting-edge academic research into tangible product impact.
- Influence Through Clarity: Articulate technical concepts model trade-offs and experimental findings to stakeholders in product policy and operations.
Qualifications :
What Essential Skills You Will Need
You have:
- Educational Background: Degree in Computer Science Electrical/ Computer Engineering Mathematics/ Statistics or related technical disciplines.
- Experience: At least 3 years of experience in tech companies or academic institutions with a similar role.
- Programming Skills: Proficiency in Python Spark and SQL. Familiarity with version control systems such as git and git-flow and an understanding of the full software development life cycle.
- AI & Deep Learning: Experience with deep learning frameworks like TensorFlow or PyTorch.
Additional Information :
Life at Grab
We care about your well-being at Grab here are some of the global benefits we offer:
- We have your back with Term Life Insurance and comprehensive Medical Insurance.
- With GrabFlex create a benefits package that suits your needs and aspirations.
- Celebrate moments that matter in life with loved ones through Parental and Birthday leave and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
- We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through lifes challenges.
- Balancing personal commitments and lifes demands are made easier with our FlexWork arrangements such as differentiated hours
What We Stand For at Grab
We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer we consider all candidates fairly and equally regardless of nationality ethnicity religion age gender identity sexual orientation family commitments physical and mental impairments or disabilities and other attributes that make them unique.
Remote Work :
No
Employment Type :
Full-time
Get to Know the TeamThe Integrity team acts as the guardians of all our users on Grab. Our mission is to be the most trusted platform in the world for protecting individuals and businesses in the domain of fraud risk digital identity and safety. The data science team leverages rich datasets to build...
Get to Know the Team
The Integrity team acts as the guardians of all our users on Grab. Our mission is to be the most trusted platform in the world for protecting individuals and businesses in the domain of fraud risk digital identity and safety. The data science team leverages rich datasets to build AI solutions to solve these tough problems. Were a hands-on team involved in the entire modelling lifecycle: from data exploration and model development to production deployment and model refresh.
Get to Know the Role
We are looking for Senior Data Scientists specialising in Computer Vision and Multimodal LLMs post-training.
Youll focus on developing advanced models for precise OCR KYC verification and document/image information extraction. This work directly supports enhanced user onboarding verification workflows and several downstream applications. Youll use modern technologies including Multimodal LLMs to improve visual intelligence capabilities.
The Critical Tasks You Will Perform
You will:
- Build at Massive Scale: Design train and fine-tune state-of-the-art models including OCR and Vision LLMs to analyse and extract information from complex documents. Your work will be at the core of Grabs ability to scale KYC and onboarding operations.
- Architect and Own End-to-End Solutions: Architect design and own the document processing pipelines that solve critical business challenges like identity verification from initial concept to live production models.
- Productionize and Optimize: Deploy your models into our high-throughput production environment implement monitoring for production metrics and iterate to improve performance latency and efficiency.
- Drive Innovation: Research and prototype with the latest advancements in AI translating cutting-edge academic research into tangible product impact.
- Influence Through Clarity: Articulate technical concepts model trade-offs and experimental findings to stakeholders in product policy and operations.
Qualifications :
What Essential Skills You Will Need
You have:
- Educational Background: Degree in Computer Science Electrical/ Computer Engineering Mathematics/ Statistics or related technical disciplines.
- Experience: At least 3 years of experience in tech companies or academic institutions with a similar role.
- Programming Skills: Proficiency in Python Spark and SQL. Familiarity with version control systems such as git and git-flow and an understanding of the full software development life cycle.
- AI & Deep Learning: Experience with deep learning frameworks like TensorFlow or PyTorch.
Additional Information :
Life at Grab
We care about your well-being at Grab here are some of the global benefits we offer:
- We have your back with Term Life Insurance and comprehensive Medical Insurance.
- With GrabFlex create a benefits package that suits your needs and aspirations.
- Celebrate moments that matter in life with loved ones through Parental and Birthday leave and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
- We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through lifes challenges.
- Balancing personal commitments and lifes demands are made easier with our FlexWork arrangements such as differentiated hours
What We Stand For at Grab
We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer we consider all candidates fairly and equally regardless of nationality ethnicity religion age gender identity sexual orientation family commitments physical and mental impairments or disabilities and other attributes that make them unique.
Remote Work :
No
Employment Type :
Full-time
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