Job Description

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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.

Get to know the Team

The Data Science (GrabMaps) team at Grab focuses on building map-based intelligence such as Place-of-Interest (POI) search and recommendation, data curation, travel time estimation, traffic forecasting, routing, and positioning. Our work powers various Grab services like transport allocation, logistics, and pricing. We extensively use computer vision, natural language processing (NLP), and information retrieval along with conventional machine learning methods on a variety of signals including images, videos, text, sensor readings, and GPS probes to understand places and road networks. We also support the development of innovative, highly-scalable models through deep research in order to delight our customers with intelligent products. We foster a culture where we enjoy raising the bar constantly for ourselves and others, and that strongly supports the freedom to explore and innovate.

Get to know the Role

Understand business needs, identify areas for investigation, translate them to technical problems to be solved

The Day-to-Day Activities

Define hypotheses, develop and execute necessary tests, experiments, and data analyses to prove or disprove them

Design and build efficient and scalable deep learning and machine learning algorithms

Evaluate the performance of the algorithms on text and/or image datasets

Deployment of solutions to production platforms

Contribute to team\xe2\x80\x99s innovation and IP creation

Keep up with the latest literature in Search / Recommendation, Natural Language Processing and/or Computer Vision

Collaborate with other data scientists, software engineers, product managers and business operation teams

The Must-Haves

• Ph.D. or Master\xe2\x80\x99s in Computer Science, Electrical/Computer Engineering, Operations Research, or related technical disciplines
• Solid background in deep learning for Search / Recommendation, Natural Language Processing and/or Computer Vision
• Familiar with mainstream deep learning programming frameworks (e.g. TensorFlow, PyTorch)
• Excellent software development capabilities, preferably in Python/Spark with good programming style and work habits; knowledge of GoLang/Rust 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

3+ years of industry experience in working with logistics, mapping and e-commerce data and use cases

Expertise in information retrieval, natural language processing, or geo-spatial data mining. Experience with Large Language Models (LLMs) is a big plus.

Experience in production software engineering (test-driven development, code versioning with Git, code reviews, CI/CD). Knowledge of code optimization techniques

Familiarity with modern data pipeline and warehousing stacks, e.g. Hive, Airflow, PrestoDB, Redshift, Kafka stream processing etc.

Familiarity with NoSQL frameworks or search engine / indexing frameworks like ElasticSearch

Our Commitment

We are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best, regardless of nationality, ethnicity, religion, age, gender identity or sexual orientation and other attributes that make each Grabber unique.

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