Lead Data Scientist (LLM post training)

Company Description

About Grab and Our Workplace

Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.

Job Description

Get to Know the Team

Our data science team works on developing cutting-edge algorithms for data mining, machine learning, and language applications. Each team member helps enhance user experiences and optimise platform efficiency to solve complex business challenges.

Get to Know the Role

We're looking for Data Scientists specialising in post-training of large language models (LLMs) to join our team. You'll be part of an enthusiastic and collaborative team, reporting to the Head of Data Science, Integrity & COREX 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 deliver innovative solutions with measurable commercial impact.

The Critical Tasks You Will Perform

You will:

• Implement post-training and optimization 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.
• Design and 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 alignment with strategic objectives and contribute to planning efforts.

Qualifications

What Essential Skills You Will Need

• You've at least 4 years of relevant experience with a Master's degree in computer science, artificial intelligence, or a related field.
• You're 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 Optimization).
• You're in managing large-scale training data, including processes for cleaning, labelling, augmentation, and generation of domain-specific datasets.
• You're experienced in end-to-end deployment of applications driven by large models, covering development, testing, and launch phases.
• You've knowledge of reasoning, multi-modality, and multi-lingual modelling principles to create AI solutions.
• You've expertise with Python programming along with competency in widely-used deep learning frameworks (e.g. TensorFlow, PyTorch).
• You're proficient in spoken and written English to articulate technical achievements and collaborate with global teams.

Additional Information

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 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.