Principal ML Engineer – Post-Training Foundation Models

Grab; Singapore; On-site; SGD 120,000 - 150,000; Full time

Job summary

A leading superapp company in Singapore is looking for a Principal Machine Learning Engineer to lead AI initiatives. This role involves strategic technical leadership, developing scalable training pipelines for large models, and ensuring high quality data processing. The ideal candidate will have extensive experience in Machine Learning and NLP, particularly in post-training processes, and will work closely with cross-functional teams to deliver innovative AI solutions. Join a dynamic environment focused on driving technology for Southeast Asia.

Benefits

Medical Insurance

Term Life Insurance

Parental Leave

Flexible Work Arrangements

Qualifications

• 8+ years in Machine Learning, with 3 years in NLP, LLMs, or Generative AI.
• 2+ years in technical leadership or mentorship roles.
• Hands-on experience training Large Language Models.

Responsibilities

• Lead the roadmap for post-training strategies like SFT and RLHF.
• Design and implement scalable training pipelines.
• Oversee data curation and quality assurance.

Skills

Machine Learning

Natural Language Processing (NLP)

Technical Leadership

Data Engineering

Distributed Systems

Python

Deep Learning Frameworks

Tools

PyTorch

Ray

Kubernetes

DeepSpeed

Job description

A leading superapp company in Singapore is looking for a Principal Machine Learning Engineer to lead AI initiatives. This role involves strategic technical leadership, developing scalable training pipelines for large models, and ensuring high quality data processing. The ideal candidate will have extensive experience in Machine Learning and NLP, particularly in post-training processes, and will work closely with cross-functional teams to deliver innovative AI solutions. Join a dynamic environment focused on driving technology for Southeast Asia.