Lead Data Scientist (LLM post training) /
Lead Data Scientist (LLM post training) /
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Job Description
Grab
Get to know the team
The data science team develops data mining machine learning and various algorithms to optimize user experience and the efficiency of the platform.
Get to know the role
We are currently seeking several Senior Data Scientists in the field of large language model post-training to join our team.
The roles involve research and development in key areas such as reasoning multi-modality multi-lingual and agents. Application areas include risk & safety customer support personalization and internal productivities.
The team will track the latest technological advancements design innovative solutions carry out end-to-end system deployment and generate value for the businesses.
Responsibilities:
- LLM post-training and optimization including fine-tuning low-resource training distillation and performance evaluation.
- Domain-specific data collection generation cleaning labeling and augmentation.
- Develop technology and systems to post-train reasoning models multimodal models multi-lingual models and agents.
- Application deployment in user-facing product experience and internal productivity scenarios such as risk control customer support personalization and others.
- Present and demonstrate technical achievements through documents patents prototypes and product launches.
- Actively participating in business and product planning.
Qualifications :
- SFTDPO
- Python
Requirements:
- Masters degree or higher 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.
- Experience in large model post-training and fine-tuning proficient in applying techniques such as SFT and DPO.
- Experience in cleaning labeling and generating large amounts of training data.
- Experience in developing deploying and launching applications based on large models.
- Proficiency in Python and mainstream deep learning frameworks.
- Excellent written and verbal communication skills and good English communication skills.
Really nice to haves:
- Experience in participation and contribution to open-source communities;
- Publication experience at top conferences.
- Experience in end-to-end LLM application deployment.
- Good technical strategic sense and strong business acumen.
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
Employment Type
Full-time
