GrabaSoft Inc
Lead Data Scientist
Job Description
Company Description
Life at Grab
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 work to 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 the maps and building map-based such as localization, routing, travel time estimation, traffic forecasting, that assist various Grab services like transportation, logistics, and pricing. We extensively use Computer Vision, LLMs, and GenAI along with conventional machine learning methods on a variety of signals including images, videos, text, sensor readings, GPS probes, etc to understand our locations and road networks. We also support the development of innovative, highly scalable, models through deep research and advanced analysis so that we make our products thoughtful and delight our customers. We foster a culture where we enjoy raising the bar constantly for ourselves and others, and that strongly supports the freedom to explore and improve.
Get to know the role
We are looking for a lead data scientist to help automate the process of map creation using data science techniques. We believe you have very good modern vision skills and strong deep learning expertise. If you think you have what it takes, we’d love to hear from you. This role is required due to the rapid changes in the SE-Asia environment improving maps. In return, you will have the opportunity to grow in a demanding setting that requires you to be creative. This role will be onsite and you will report to the Senior Engineering Manager based in the Cluj Office.
The Critical Tasks You Will Perform
You will:
- Understand business needs, identify investigation areas, and translate them into technical problems to be solved.
- Design and develop customized architectures for computer vision and machine learning algorithms.
- Collaborate with software, engineering, and product teams across the company.
- Ideate and develop innovative solutions for existing problems using LLMs and GenAI.
- Deploy solutions into production systems and ensure their maintenance and required updates.
Qualifications
What Skills You Will Need
To perform these tasks, you will need:
- Deep Learning Expertise: Practical experience in designing, training, evaluating, and optimizing deep learning networks.
- Programming: Proficiency in Python and familiarity with libraries like OpenCV, PyTorch, and TensorFlow.
- Machine Learning Methods: Knowledge of machine learning methods for classification, regression, and clustering.
- Computer Vision: At least 5 years of experience with computer vision techniques, including projective geometry, camera localization, motion estimation, and 3D reconstruction.
- Collaboration: Ability to work with multiple teams across the company.
- Communication Skills: Proficiency in English for presenting data insights and results through visualizations.
- Innovation: A drive to stay informed about the latest in computer vision and deep learning methodologies and architectures.
Nice-to-Haves
- Experience with image processing algorithms and numerical optimization.
- Knowledge of camera localization and motion estimation with sensors like GPS, IMU, video, and magnetometer.
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.
