Data Scientist

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 create economic empowerment for the people of Southeast Asia.

Job Description

Get to know the team

The Data Science (Geo Vision) team at Grab focuses on improving maps and building map-based, such as localization, routing, travel time estimation, and traffic forecasting. These efforts support various Grab services including transportation, logistics, and pricing. We utilize Computer Vision, NLP, Information Retrieval, Text Mining, and conventional machine learning techniques to process a variety of signals such as images, videos, text, sensor readings, and GPS probes to understand locations and road networks. Our deep research and advanced analysis contribute to the development of innovative, highly scalable models that make our products thoughtful and delightful for our customers. Our culture emphasizes continuous improvement, exploration, and innovation..

Get to know the role

We are looking for an intern data scientist to help automate the process of map creation using data science techniques. We believe a successful candidate has at least basic modern vision skills and deep learning knowledge, but if you believe you have what it takes then we'd love to hear from you either way. You will have the opportunity to grow in a workplace that demands innovation and creativity. The role is hybrid and you will report to the Senior Engineering Manager based in the Cluj Office.

The Critical Tasks You Will Perform

• You will involving object detection, positioning, instance segmentation, and tracking.
• You will deploy computer vision algorithms and machine learning models on embedded platforms.
• You will collaborate with cross-functional teams to define product requirements and specifications.
• You will conduct performance analysis and fine-tune models for optimal execution on embedded systems.
• You will stay current with the latest advancements in machine learning and computer vision technologies.

Qualifications

What Skills You Will Need

• Familiarity with Python and some of the following libraries: PyTorch, Tensorflow or Fast.ai; NumPy; OpenCV; scikit-learn;
• Understanding of machine learning methods for classification, regression, and clustering.
• Self-motivated learner who keeps himself updated with the current state of computer vision and deep learning techniques/architectures.
• Proficient in English

Learning Objectives

• A good understanding of Deep Learning, in particular with design, training, evaluation, and optimization of convolutional neural net (CNN) architectures in the context of at least one of the following: object detection, segmentation, scene classification, object tracking, OCR, etc.
• Familiarity with Azure cloud platform for deploying or maintaining ML systems

Additional Information

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 sexual orientation, and other attributes that make each Grabber unique.

Benefits at Grab:

• Insurance: Comprehensive Term Life Insurance and Medical Insurance.
• Customized Benefits: GrabFlex offers a tailored benefits package.
• Parental Leave: Maternity and Paternity Leave for new parents.
• Support Programs: Confidential Grabber Assistance Programme for life's challenges.
• Well-being Initiatives: Access to Wellbeing@Grab, including health programs, webinars, and events.
• Work-Life Balance: FlexWork arrangements to support personal and professional life.