Data Science Geo Maps - Internship

1 Month ago • All levels

Job Summary

Job Description

The Data Science (Geo Vision) team at Grab is seeking an intern data scientist to automate map creation using data science techniques. The role involves developing architectures for computer vision and machine learning algorithms and collaborating with DS teams. The intern will be based on-site and will report to the Senior Engineering Manager in Cluj Napoca. Grab focuses on improving maps, building map-based localization, routing, travel time estimation, and traffic forecasting to support multiple Grab services.
Must have:
  • Familiarity with Python and related libraries
  • Understanding of machine learning methods
  • Up-to-date with computer vision and deep learning techniques
  • Proficient in English
Perks:
  • Term Life Insurance and comprehensive Medical Insurance
  • GrabFlex for customized benefits
  • Parental and Birthday leave, and volunteering leave
  • Grabber Assistance Programme
  • FlexWork arrangements

Job Details

Company Description

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.

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 process of map creation using data science techniques. We believe you have at least basic modern vision skills and deep learning knowledge. You will be on site and be reporting to the Senior Engineering Manager based in the Cluj Napoca Office.

The Critical Tasks You Will Perform

  • You will develop architectures to address the latest demands of computer vision and machine learning algorithms.
  • 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

 

 

Additional Information

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.

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