Lead Data Scientist - Search & Personalisation
Petaling Jaya, Malaysia
Grab
Grab is Southeast Asia’s leading superapp. It provides everyday services like Deliveries, Mobility, Financial Services, and More.Company Description
Life at Grab
At Grab, every Grabber is guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles - the 4Hs: Heart, Hunger, Honour and Humility. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast Asia.
Job Description
Get to know the team
The SNP Data Science Search and Ranking team is a longstanding team responsible for Grab Food and Mart Search and Ranking experiences. We make an impact by developing the state-of-the-art Deep Learning models to create better user experiences. Our team is made up of enthusiastic Data Scientists with various backgrounds. If you are looking for an opportunity for Search and Ranking, you should join our team!
Get to know the job
- Develop creative and highly scalable machine learning algorithms to solve problems in Search, Ranking, Natural Language Processing, Large Language Model (LLM) domains that is critical to Grab’s business
- Drive product improvements and roll-out of new features with state-of-the-art algorithms
The Day-to-Day Activities
- Deep dive into the big datasets and prepare them for model building and training
- Design and build efficient and scalable deep learning and machine learning algorithms
- Evaluate the performance of the algorithms on image and/or text datasets
- Deployment of solutions to production platforms
- Contribute to team’s innovation and IP creation
- Keep up with the latest literature in Search, Ranking, Natural Language Processing, Large Language Model (LLM)
- Collaborate with other data scientists, software engineers, and business operation teams
Qualifications
The Must-Haves
- Ph.D. or Master graduate in Computer Science, Electrical/Computer Engineering, or related technical disciplines
- Solid background in deep learning for Search, Ranking, Natural Language Processing, Large Language Model (LLM)
- Familiar with mainstream deep learning programming frameworks (e.g. TensorFlow, PyTorch)
- Excellent software development capabilities, preferably in Python/Scala with good programming style and work habits; knowledge of GoLang would be an advantage
- Self-motivated and independent learner who is willing to share knowledge with the team
- Detail-oriented and effective time management, who thrives in a dynamic and fast-paced working environment
The Nice-to-Haves
- Experience in working with food, delivery, and e-commerce data and use cases
- Knowledge of model compression techniques
- Experience with one or more big data processing frameworks such as Spark
- Experience in parallel programming and multithreading
- Knowledge in code optimization techniques
Additional Information
Our Commitment
We recognize that with these individual attributes come different workplace challenges, and we will work with Grabbers to address them in our journey towards creating inclusion at Grab for all Grabbers.
About Grab
Grab is the leading superapp platform in Southeast Asia, providing everyday services that matter to consumers. Today, the Grab app has been downloaded onto millions of mobile devices, giving users access to over 9 million drivers, merchants, and agents. Grab offers a wide range of on-demand services in the region, including mobility, food, package and grocery delivery services, mobile payments, and financial services across 428 cities in eight countries
Join us today to drive Southeast Asia forward, together.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Computer Science Deep Learning E-commerce Engineering Golang LLMs Machine Learning NLP Python PyTorch Scala Spark TensorFlow
Perks/benefits: Team events
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