Develop creative and highly scalable machine learning algorithms to solve problems in Search, Natural Language Processing and/or Computer Vision domains that is critical to Grab’s business
Drive product improvements and roll-out of new features with state-of-the-art algorithms
The day-to-day activities:
Deep dive into the big datasets and prepare them for model building and training
Design and build efficient and scalable deep learning and machine learning algorithms
Evaluate the performance of the algorithms on image and/or text datasets
Deployment of solutions to production platforms
Contribute to team’s innovation and IP creation
Keep up with the latest literature in Search, Natural Language Processing and/or Computer Vision
Collaborate with other data scientists, software engineers, and business operation teams
The must haves:
Ph.D. graduate, or Master’s with 2 years of relevant experience, in Computer Science, Electrical/Computer Engineering, Operations Research, or related technical disciplines
Solid background in deep learning for Search, Natural Language Processing and/or Computer Vision
Familiar with mainstream deep learning programming frameworks (e.g. TensorFlow, PyTorch)
Excellent software development capabilities, preferably in Python/Scala/C++ with good programming style and work habits; knowledge of GoLang would be an advantage
Self-motivated and independent learner who is willing to share knowledge with the team
Detail-oriented and effective time management, who thrives in a dynamic and fast-paced working environment
