Senior Data Scientist

About Grab and Our Workplace

Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.

Get to Know the Team

The Data Science (Geo Vision) team at Grab focuses on improving the maps and building map-based intelligence such as localization, routing, travel time estimation, traffic forecasting, that assist various Grab services like transportation, logistics, and pricing. We extensively use Computer Vision, NLP, Information Retrieval, and Text Mining along with conventional machine learning methods on a variety of signals including images, videos, text, sensor readings, GPS probes, etc to understand our locations and road networks. We also support the development of innovative, highly scalable, models through deep research and advanced analysis so that we make our products intelligent and delight our customers. 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

We are looking for a Senior Data Scientist to help automate the process of map creation using data science techniques. We believe a successful candidate has very good computer vision skills and learning expertise, but if you believe you have what it takes then we'd love to hear from you either way. This role is required because of the very impacting the maps. You will be on site and you will report to the Senior Data Science Manager based in Cluj.

The Critical Tasks You Will Perform

• You will understand business needs, identify areas for investigation, translate them to technical problems to be solved.
• You will design customized architectures to address the emerging demands of computer vision and machine learning algorithms, including exploring the application of transformer-based models and LLMs where relevant.
• You will collaborate across the company, working with software, engineering, and product teams.
• Youn will create and develop innovative solutions for existing problems.
• You will deploy solutions into production systems, and also ensure maintenance and required updates.

What Essential Skills You Will Need

• Bachelor's degree in Computer Science, Electrical Engineering, or related field.
• Minimum of 4 years of experience in computer vision and machine learning.
• Experience with image processing algorithms, including advanced computer vision techniques such as projective geometry, stereovision, and 3D reconstruction.
• Knowledge and practical experience in designing, training, evaluating, and optimizing Deep Learning networks.
• Experience with Python and some of the following libraries: OpenCV, PyTorch, Tensorflow.
• Understanding of machine learning methods for classification, regression, and clustering.
• Linear algebra and matrix transformations.
• Familiarity with modern model architectures like transformers and an understanding of their application in areas like Computer Vision, NLP, or LLMs.
• Possess proficiency in English, both in speaking and writing.

The Nice-to-haves:

• Hands-on experience applying or fine-tuning Large Language Models (LLMs) or Vision-Language Models (VLMs) to solve real-world problems.
• Proven track record in classic computer vision during previous work.
• Experience in designing ML systems in production.
• Knowledge of Azure Kubernetes Service and Azure Cloud Platform.
• Knowledge of optimization techniques for resource-constrained environments.

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 life's challenges.
• Balancing personal commitments and life's 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.