Your space-enabled career begins here

Company Description

About Grab and our workplace

Grab is Southeast Asia's leading superapp. We are dedicated to improving the lives of millions of users across the region by providing them everyday services such as deliveries, mobility, financial services, enterprise services and others. More than that, we provide the opportunity for them to have a better life. And that aspiration starts inside Grab because we believe in a seamless blend of work and home life, making every aspect of life better for all.

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—we work to create economic empowerment for the people of Southeast Asia. With our unwavering commitment to our values, we believe that we're more than a service provider; we're agents of positive change.

Job Description

Get to know the team

Our Data Science team develops creative and highly scalable machine learning algorithms to solve problems in Natural Language Processing and/or Computer Vision that are critical to Grab's business. If you love to solve problems in these domains then you're a perfect fit!

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 text and/or image datasets
• Deployment of solutions to production platforms
• Contribute to team's innovation and IP creation
• Keep up with the latest literature in LLM, GenAI, NLP, and Computer Vision
• Collaborate with other data scientists, software engineers, and business operation teams

Qualifications

The Must-Haves

• Bachelor's in in Computer Science, Electrical/Computer Engineering, or related technical disciplines
• Solid background in either LLM, GenAI, NLP, Computer Vision or Search domains
• Familiar with mainstream deep learning programming frameworks (e.g. TensorFlow, PyTorch)
• Good software development capabilities, proficient in Python with good programming style
• 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

Nice-to-Haves

• Experience in working with food, delivery, and e-commerce data and use cases
• Experience with one or more big data processing frameworks such as Spark
• Knowledge of model compression techniques
• Experience in parallel programming and multithreading
• Knowledge in code optimization techniques

Additional Information

Benefits at Grab:

We care deeply about your well-being and are committed to supporting you every step of the way. Here are some of the global benefits we offer:

• Protect and provide for your loved ones with peace of mind, knowing we have your back with Term Life Insurance and comprehensive Medical Insurance.
• Craft a benefits package that suits your unique needs and aspirations with GrabFlex, because we believe in empowering you to thrive.
• Embrace the magic of new life and create lasting memories with your family through Maternity and Paternity Leave.
• Life can be overwhelming, but you're never alone. Our confidential Grabber Assistance Programme is here to guide and uplift you and your loved ones through life's challenges.
• Your well-being is our priority. Benefit from our holistic well-being initiatives through Wellbeing@Grab, including health programmes, informative webinars, and vibrant carnivals.
• Achieve a harmonious work-life balance with our FlexWork arrangements, allowing you to adapt and thrive in your personal and professional life.

We've got many different benefits hyper localised in each country. Speak to your recruiter during your interview to find out more.

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. If you require accommodations to fully participate in the recruitment process, you are encouraged to include your request(s) when applying.

We deliver the greatest impact and ideas when we bring together diverse perspectives. It is what enables us to spread opportunities to Grabbers and our partners. It's not a box-ticking exercise; it's who we are.