Senior Data Scientist (LLM Post-Training)
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Get to know the role
Were looking for Data Scientists specialising in post-training of large language models (LLMs) to join our team working onsite in Bangalore. Youll 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. 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 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.
Qualifications :
Essential Requirements:
- 3 to 8 years of relevant experience with a Masters 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.
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 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.
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Laboratory Experience
- Mammalian Cell Culture
- Biochemistry
- Assays
- Protein Purification
- Research Experience
- Next Generation Sequencing
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Flow Cytometry
About Company
About Grab and Our WorkplaceGrab 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, w ... View more
