Senior Data ScientistRomania
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 (Geo Vision) team at Grab focuses on improving the maps and building map-based intelligence such as localization, routing, travel time estimation, and 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 modern computer vision skills and strong deep 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 fast pace of change in the SE-Asia environment impacting deeply the maps. In return, you will get an opportunity to grow in a very challenging environment requiring innovation and creativity.
The Day-to-Day Activities
Understand business needs, identify areas for investigation, and translate them to technical problems to be solved
Design and develop customized architectures to address the emerging demands of computer vision and machine learning algorithms.
Collaborate across the company, working with software, engineering, and product teams.
Ideate and develop innovative solutions for existing problems
Deploy solutions into production systems, and also ensure maintenance and required updates
Bachelor's degree in Computer Science, Electrical Engineering, or related field.
Minimum of 3 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.
Robust 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
A highly driven individual who consistently stays informed about the latest developments and advancements in computer vision and deep learning methodologies and architectures.
Possesses strong English communication skills, both in speaking and writing, and has the ability to effectively present data insights and results through compelling visualizations
Good knowledge of attention and transformer networks would be a strong plus
Proven track record in classic computer vision during previous work
Experience in designing, deploying, or maintaining ML systems in production
Knowledge of Azure Kubernetes Service and Azure Cloud Platform
Knowledge of optimization techniques for resource-constrained environments
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 sexual orientation, and other attributes that make each Grabber unique.
Grab is an equal opportunity employer. We owe our success to the talents of our globally-diverse team and the varying perspectives they add to our thriving community.
Grab does not accept unsolicited resumes sent by recruiting agencies. Please do not forward resumes to our job postings, Grab employees or other parts of the business. Grab will not be liable to pay any fees to agencies for candidates hired as a result of unrequested resumes.