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Software Engineer, Machine Learning - Job Opportunity at Meta

Singapore, Singapore
Full-time
Senior
Posted: February 12, 2025
On-site
SGD 180,000 - 280,000 per year + equity compensation, competitive with Singapore's top-tier tech companies

Benefits

Comprehensive benefits package aligned with Meta's industry-leading standards
Career development and learning opportunities at scale
Access to cutting-edge ML infrastructure and resources
Opportunity to impact billions of users through ML innovations
Collaborative environment with world-class ML researchers and engineers

Key Responsibilities

Lead ML excellence initiatives and provide technical direction for teams
Develop and optimize large-scale recommendation systems
Drive architectural decisions for AI-powered content delivery systems
Guide cross-functional partnerships and consensus building
Design and implement scalable ML solutions for News Feed and Video/Reels platforms

Requirements

Education

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Experience

5+ years

Required Skills

Machine learning model development at scale Recommendation systems Pattern recognition Data mining Artificial intelligence Technical leadership Cross-functional partnership management Software architecture Debugging at scale
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Sauge AI Market Intelligence

Industry Trends

The shift towards AI-recommended content represents a fundamental transformation in social media content discovery, with Meta leading this evolution through sophisticated ML implementations. Video content, particularly short-form videos like Reels, is becoming the dominant format across social platforms, driving demand for ML engineers who can optimize video recommendation systems. The integration of AI/ML in social media platforms is moving beyond basic recommendation systems to more complex, multi-modal understanding systems that can process video, text, and user behavior simultaneously.

Role Significance

Leading small to medium-sized teams (5-8 engineers) with potential collaboration across multiple ML teams
Senior technical position with significant influence on Meta's core content discovery systems and recommendation architecture

Key Projects

News Feed recommendation system optimization Video/Reels content understanding and recommendation Large-scale ML infrastructure development Cross-platform content discovery systems

Success Factors

Deep expertise in scalable ML systems and recommendation algorithms Strong technical leadership and team guidance capabilities Ability to balance theoretical ML knowledge with practical implementation Experience with large-scale distributed systems Cross-functional collaboration and communication skills

Market Demand

Extremely high demand, particularly in APAC region where ML talent pool is highly competitive and companies are rapidly expanding their AI capabilities

Important Skills

Critical Skills

Large-scale ML system design and implementation Recommendation systems expertise Distributed systems understanding Technical leadership and mentoring

Beneficial Skills

AR/VR technology familiarity Multi-modal ML models Privacy-preserving ML techniques Cross-platform optimization

Unique Aspects

Opportunity to work on ML systems that affect billions of users globally
Access to one of the world's largest and most diverse datasets
Integration of ML with emerging technologies like AR/VR
Significant influence on the future of social media content discovery

Career Growth

2-4 years typical progression timeline to next level, depending on impact and organizational needs

Potential Next Roles

Principal Machine Learning Engineer Technical Lead Manager ML Architecture Lead Director of Machine Learning

Company Overview

Meta

Meta is leading the evolution of social connectivity and digital communication, with a strong focus on AI/ML technologies and immersive experiences

One of the world's largest and most influential technology companies, with significant investment in AI research and development
Singapore serves as a key APAC hub for Meta, with strategic importance for regional ML development and deployment
Fast-paced, innovation-driven environment with emphasis on impact at scale and technical excellence
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