Lead Data Scientist (LLM post training) / 资深算法科学家 （大模型后训练方向）

Company Description

About Grab and our workplace

Grab is Southeast Asia's leading superapp. We are dedicated to improving the lives of millions of users across the region by providing them everyday services such as deliveries, mobility, financial services, enterprise services and others. More than that, we provide the opportunity for them to have a better life. And that aspiration starts inside Grab because we believe in a seamless blend of work and home life, making every aspect of life better for all.

Guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles—the 4Hs: Heart, Hunger, Honour and Humility—we work to create economic empowerment for the people of Southeast Asia. With our unwavering commitment to our values, we believe that we're more than a service provider; we're agents of positive change.

Job Description

Grab的数据科学团队负责研发数据挖掘、机器学习、深度学习、运筹优化算法、模型和平台，优化每一个用户的体验和平台的运营效率。

现诚招资多名大语言模型后训练方向的高级算法科学家，在推理、多模态、多语言、智能体等重点领域内进行模型研发和应用开发工作。应用落地场景包括风控、客服、个性化、内部流程自动化等。

团队在跟踪最新的技术进展的基础上会设计创新的解决方案，完成端到端的技术实现和系统迭代、为产品和业务创造价值。

岗位职责：

• 大模型的后训练与优化，包括微调、低资源训练、蒸馏、性能评估等；
• 领域数据的收集、清洗、标注及增强；
• 探索后训练在推理模型、多模态、多语言、智能体等领域的技术研发；
• 在面向用户业务场景和内部流程效率提升场景下的应用落地，包括风控、客服、个性化、等场景；
• 以文档、专利、原型、产品上线等多种方式呈现和展示技术成果；
• 积极参与业务和产品规划。

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

任职要求：

• 在计算机、人工智能相关领域取得硕士以上学历；
• 具备扎实的机器学习、深度学习理论基础，对大模型以及相关技术领域有深入理解；
• 具备大模型后训练、微调的实际经验，熟练掌握并灵活应用SFT、DPO等技术；
• 具备清洗、标注、生成处理大量训练数据的经验；
• 具备基于大模型的应用开发部署上线的经验；
• 熟练掌握Python语言，熟练使用主流深度学习框架；
• 优秀的书面和口头沟通能力，并具备良好的英语沟通能力；
• 对技术产品化和商业化有浓厚的兴趣。

加分项（任一项）：

• 开源社区参与和贡献经验；
• 顶级会议上论文发表经历；
• 端到端应用落地经验；
• 良好的技术大局观和业务理解能力

Requirements:

• Master's 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 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 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.