Data Scientist - Internship

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 focuses on improving maps and building map-based localization, routing, travel time estimation, and traffic forecasting. These efforts support multiple Grab services. We use 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.

Get to know the role

We are looking for an intern data scientist to help automate the map creation using data science techniques. We believe you have at least basic modern vision skills and deep learning knowledge. You will work on site at the Cluj Office and report to the Head of Data Science based in Cluj-Napoca.

The Critical Tasks You Will Perform

• You will develop architectures to address the new demands of computer vision and machine learning algorithms applied in the map-making process.
• You will collaborate across DS teams
  
  

Qualifications

What Essential Skills You 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.
• Learner who keeps updated with the current state of computer vision and deep learning techniques/architectures.
• Proficient in English
  
  

Learning Goals

• An 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.
• 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 Programs: Access to Wellbeing@Grab, including health programs, webinars, and events.
• Work-Life Balance: FlexWork arrangements to support personal and professional life.