Lead Foundation World Models Engineer (Onsite Singapore)

Grab; Singapore; On-site; SGD 120,000 - 160,000; Full time

Benefits offered by this job

Term Life Insurance

Comprehensive Medical Insurance

GrabFlex benefits package

Parental and Birthday leave

Volunteering leave

Flexible work arrangements

Job summary

A leading technology company in Singapore is seeking a visionary Lead Machine Learning Engineer to spearhead the Foundation World Models team. This role involves leading the design and development of large-scale models, optimizing training pipelines, and mentoring team members. The ideal candidate has over 6 years of experience in machine learning, including 2 years in leadership roles, with deep expertise in self-supervised learning and proficiency in Python. The company values inclusivity and offers a range of global benefits.

Qualifications

• At least 6 years of industry experience in ML engineering.
• Minimum of 2 years in technical leadership on large-scale generative AI.
• Expertise in self-supervised learning and foundation models.
• Proficient in Python and deep learning frameworks.

Responsibilities

• Lead end-to-end development of foundational world models.
• Optimize training pipelines for multi-modal data sets.
• Translate academic papers into production-ready code.
• Collaborate with cross-functional teams.

Skills

Python

Deep Learning Frameworks (PyTorch or JAX)

Self-supervised learning architectures

Large Language Models (LLMs)

Distributed Systems

Data Processing at Scale

Education

Degree in computer science, artificial intelligence, machine learning, or related field

Tools

Multi-node GPU clusters

Job description

A leading technology company in Singapore is seeking a visionary Lead Machine Learning Engineer to spearhead the Foundation World Models team. This role involves leading the design and development of large-scale models, optimizing training pipelines, and mentoring team members. The ideal candidate has over 6 years of experience in machine learning, including 2 years in leadership roles, with deep expertise in self-supervised learning and proficiency in Python. The company values inclusivity and offers a range of global benefits.