Senior Data Scientist - Computer Vision and Deep Learning

Join Our Team as a Senior Data Scientist

About the Role

We are seeking a highly skilled Senior Data Scientist to join our Data Science (Geo Vision) team at Grab. This team is dedicated to enhancing maps and developing map-based intelligence, such as localization, routing, travel time estimation, and traffic forecasting. These efforts are crucial for supporting various Grab services, including transportation, logistics, and pricing.

Key Responsibilities

• Complex Problem Solving: Tackle challenging problems involving object detection, positioning, instance segmentation, and tracking.
• Algorithm Deployment: Implement computer vision algorithms and machine learning models on embedded platforms.
• Cross-Functional Collaboration: Work with cross-functional teams to define product requirements and specifications.
• Performance Analysis: Conduct performance analysis and fine-tune models for optimal execution on embedded systems.
• Stay Updated: Keep abreast of the latest advancements in machine learning and computer vision technologies.

Qualifications

• Educational Background: Bachelor's degree in Computer Science, Electrical Engineering, or a related field.
• Computer Vision Expertise: Advanced skills in image processing algorithms, projective geometry, camera localization, motion estimation, and 3D reconstruction.
• Deep Learning Proficiency: Experience in designing, training, evaluating, and optimizing Deep Learning networks.
• Programming Skills: Proficiency in Python and familiarity with libraries such as OpenCV, PyTorch, and TensorFlow.
• Machine Learning Knowledge: Understanding of classification, regression, and clustering methods.
• Mathematical Expertise: Knowledge of projective geometry, linear algebra, and numerical optimization.
• Continuous Learning: A strong drive to stay updated with the latest developments in computer vision and deep learning methodologies.
• Communication Skills: Strong English communication skills, both verbal and written, with the ability to present data insights through compelling visualizations.

Nice-to-Haves

• Sensor Integration: Experience with camera localization and motion estimation using sensors like GPS, IMU, video, and magnetometer.
• System-Level Software: Proficiency in hardware-software interactions and resource utilization.
• Optimization Techniques: Knowledge of optimization techniques for resource-constrained environments.

Our Commitment

At Grab, we are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best. We consider all candidates fairly, regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, or any other attributes that make each Grabber unique.

Benefits

• 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.

Join us in our mission to drive Southeast Asia forward by creating economic empowerment for everyone. Apply today to be part of a team that values innovation, creativity, and continuous improvement.