Senior Data Scientist (LLM Post-Training)

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.

Get to know the role

We're looking for Data Scientists specialising in post-training of large language models (LLMs) to join our team, working onsite in Bangalore. You'll be part of an enthusiastic and collaborative team, working as an individual contributor, reporting to the Head of Data Science, Integrity & COREX who is based at our One North Singapore office.

 

Your work will involve advancing fields such as reasoning, multi-modality, multi-lingual systems, and AI agents. You'll contribute to solutions that improve risk and safety measures, enhance customer support, personalise user experiences, and boost internal productivity. You'll work on end-to-end system deployments while collaborating with businesses and product teams to create solutions with measurable commercial impact.

Responsibilities:

• Implement post-training and optimisation tasks for large language models, including fine-tuning, distillation, performance evaluation, and low-resource training.
• Handle domain-specific data processes such as data collection, cleaning, labelling, augmentation, and synthetic data generation for model improvement.
• Develop systems that integrate reasoning, multi-modal processing, multi-lingual modelling, and AI agent behaviour for real-world applications.
• Deploy LLM-based applications in different scenarios, including risk control, customer support, personalization, and internal productivity use cases.
• Prepare technical documentation, patents, prototypes, and demonstrations to showcase project outcomes and advancements.
• Engage with business and product teams to ensure agreement on strategic goals and contribute to planning efforts.

Essential Requirements:

• 3 to 8 years of relevant experience with a Master's degree in computer science, artificial intelligence, or a related field.
• Solid theoretical foundation in machine learning and deep learning, with in-depth understanding of large models and related technical domains.
• Proficient in advanced machine learning and deep learning principles, large-language-model post-training techniques such as SFT (Supervised Fine-Tuning) and DPO (Direct Preference Optimisation), and familiar with latest technologies.
• Experience managing large-scale training data, including processes for cleaning, labelling, augmentation, and generation of domain-specific datasets.
• Experience in end-to-end deployment of applications guided by large models, covering development, testing, and launch phases.
• Proficiency in Python programming along with competency in widely-used deep learning frameworks (e.g. TensorFlow, PyTorch).
• Proficient in spoken and written English to explain technical achievements and collaborate with global teams.

Desirable Requirements:

• Experience in participation and contribution to open-source communities.
• Publication experience at top conferences.
• Experience in end-to-end LLM application deployment, familiarised with all integration and optimisation challenges.
• Good technical thought process and understanding of business.

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 provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.