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Singapore

Lead Data Scientist (LLM post training)

Grab
Singapore
Full time
1 day ago

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:

Qualifications

What Essential Skills You Will Need

Additional Information

Life at Grab

We care about your well-being at Grab, here are some of the global benefits we offer:

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.

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