Principal ML Engineer – Scale, Safety & Impact

Meta Careers; Singapore; On-site; SGD 300,000 - 420,000; Full time

Job summary

Meta is seeking principal engineers to join teams building cutting-edge ML products that scale to billions of users. You will design and deploy ML systems spanning model development, training infrastructure, and optimization, with a focus on safety, accuracy, and user experience across Meta's platforms.

We value deep technical leadership, multi-year roadmaps, and collaboration across functions. You will mentor teams, drive architectural decisions, and ship ML-powered features at global scale,

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Experience leading projects with industry-wide impact.
• Experience communicating and working across functions to drive solutions.
• Experience in mentoring/influencing technical direction across organizations through design reviews, proposals, or architectural decisions.
• Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term mission.

Skills

Project leadership

Cross-functional collaboration

Mentoring/tech direction

Roadmap planning

Cross-industry engineering

12+ years programming (Python/C++/Java

ML/artificial intelligence

ML models at scale (ads/e-commerce

Learning to Rank / GBM / RF / DL

Data structures & graphs

Shipping products at scale

Recommender systems / ranking

Responsible AI practices

PyTorch / TensorFlow

MLOps / monitoring / production ML

Large-scale training pipelines

ML-powered product shipping

Ongoing AI skill development

AI tooling integration for workflows

Publications or ML contributions

Education

Bachelor's degree in CS/CE or equivalent

Job description

Meta is seeking principal engineers to join teams building cutting-edge ML products that scale to billions of users. You will design and deploy ML systems spanning model development, training infrastructure, and optimization, with a focus on safety, accuracy, and user experience across Meta's platforms.

We value deep technical leadership, multi-year roadmaps, and collaboration across functions. You will mentor teams, drive architectural decisions, and ship ML-powered features at global scale,