Lead Data Scientist (LLM post training)
Lead Data Scientist (LLM post training)
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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
Were looking for Data Scientists specialising in post-training of large language models (LLMs) to join our team. Youll 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. Youll contribute to solutions that improve risk and safety measures enhance customer support personalise user experiences and boost internal productivity. Youll 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
- Youve at least 4 years of relevant experience with a Masters degree in computer science artificial intelligence or a related field.
- Youre 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).
- Youre in managing large-scale training data including processes for cleaning labelling augmentation and generation of domain-specific datasets.
- Youre experienced in end-to-end deployment of applications driven by large models covering development testing and launch phases.
- Youve knowledge of reasoning multi-modality and multi-lingual modelling principles to create AI solutions.
- Youve expertise with Python programming along with competency in widely-used deep learning frameworks (e.g. TensorFlow PyTorch).
- Youre 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 lifes challenges.
- Balancing personal commitments and lifes 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.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
