Get to Know the Team
The Trust Identity and Safety (TIS) team is the guardian 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 uses 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
As a Senior Data Scientist focused on Safety youll report into the Senior Data Science Manager and work onsite in Grab One North Singapore Office. Youll help build and deploy AI solutions designed to protect our users through both incident intervention and detection. Youll develop sophisticated models leveraging a wide variety of data sourcesincluding user behaviours audio and videoto accurately assess ride risk. Youll address these challenges by employing both traditional Machine Learning (ML) techniques and the reasoning capabilities of Large Language Models (LLMs) and Multimodal LLMs.
If you excel at solving massive-scale complex modelling challenges and are passionate about delivering solutions that directly ensure user safety we encourage you to apply.
The Critical Tasks You Will Perform
You will:
- Architect and Own End-to-End Solutions: You wont just be given problems; youll partner with product teams to frame them. Youll architect design and own the machine learning systems that solve critical business challenges from initial concept to live production models.
- Build at Massive Scale: Design train and fine-tune state-of-the-art models including Large Language Models (LLMs) and multi-modal models to analyse the situations during ride. Your work will be at the core of Grabs ability to operate safely.
- Productionize and Optimize: Take ownership of the full MLOps lifecycle. You will deploy your models into our high-throughput production environment implement robust monitoring and continuously iterate to improve performance latency and efficiency.
- Drive Innovation and Influence Strategy: Go beyond implementation. Youll research and prototype with the latest advancements in AI translating cutting-edge academic research into tangible product impact. Your insights will directly influence product and policy decisions across Grab.
- Influence Through Clarity: Bridge the gap between our complex ML systems and business strategy. Youll explain technical concepts model trade-offs and experimental findings to stakeholders in product policy and operations ensuring your work directly informs and influences their decisions.
Qualifications :
What Essential Skills You Will Need
You have:
- A Degree in Computer Science Electrical/Computer Engineering Mathematics/ Statistics or related technical disciplines.
- 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.
- Proficiency in traditional ML and Computer Vision (CV). Experience with audio video or LLM modelling and edge model deployment is a plus.
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 Trust Identity and Safety (TIS) team is the guardian 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 uses rich datase...
Get to Know the Team
The Trust Identity and Safety (TIS) team is the guardian 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 uses 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
As a Senior Data Scientist focused on Safety youll report into the Senior Data Science Manager and work onsite in Grab One North Singapore Office. Youll help build and deploy AI solutions designed to protect our users through both incident intervention and detection. Youll develop sophisticated models leveraging a wide variety of data sourcesincluding user behaviours audio and videoto accurately assess ride risk. Youll address these challenges by employing both traditional Machine Learning (ML) techniques and the reasoning capabilities of Large Language Models (LLMs) and Multimodal LLMs.
If you excel at solving massive-scale complex modelling challenges and are passionate about delivering solutions that directly ensure user safety we encourage you to apply.
The Critical Tasks You Will Perform
You will:
- Architect and Own End-to-End Solutions: You wont just be given problems; youll partner with product teams to frame them. Youll architect design and own the machine learning systems that solve critical business challenges from initial concept to live production models.
- Build at Massive Scale: Design train and fine-tune state-of-the-art models including Large Language Models (LLMs) and multi-modal models to analyse the situations during ride. Your work will be at the core of Grabs ability to operate safely.
- Productionize and Optimize: Take ownership of the full MLOps lifecycle. You will deploy your models into our high-throughput production environment implement robust monitoring and continuously iterate to improve performance latency and efficiency.
- Drive Innovation and Influence Strategy: Go beyond implementation. Youll research and prototype with the latest advancements in AI translating cutting-edge academic research into tangible product impact. Your insights will directly influence product and policy decisions across Grab.
- Influence Through Clarity: Bridge the gap between our complex ML systems and business strategy. Youll explain technical concepts model trade-offs and experimental findings to stakeholders in product policy and operations ensuring your work directly informs and influences their decisions.
Qualifications :
What Essential Skills You Will Need
You have:
- A Degree in Computer Science Electrical/Computer Engineering Mathematics/ Statistics or related technical disciplines.
- 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.
- Proficiency in traditional ML and Computer Vision (CV). Experience with audio video or LLM modelling and edge model deployment is a plus.
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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