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Software Engineering, Machine Learning - Job Opportunity at Meta

Singapore, SG
Full-time
Senior
Posted: July 3, 2025
On-site
Based on Meta's compensation structure and Singapore's tech market, this senior ML engineering role likely offers a total compensation package ranging from SGD 180,000 to SGD 280,000 annually (approximately USD 135,000 to USD 210,000), including base salary, bonuses, and equity compensation. Singapore's competitive tech market and Meta's reputation for premium compensation suggest the higher end of this range is probable.

Benefits

Opportunity to work on products that connect billions of people globally, providing unparalleled scale and impact in your professional portfolio
Access to cutting-edge technology and resources in augmented and virtual reality, positioning you at the forefront of next-generation social technology
Collaboration with world-class industry professionals and cross-functional teams, accelerating professional development and networking opportunities
Exposure to complex technical problems across multiple platforms including mobile and web applications, enhancing versatility and technical expertise
Leadership opportunities in setting technical direction and driving consensus across teams, building executive-level skills
Equal employment opportunity environment with strong commitment to diversity and inclusion, ensuring fair career advancement
Reasonable accommodations support for qualified individuals with disabilities, demonstrating comprehensive workplace inclusion

Key Responsibilities

Drive innovation in application experiences through strategic collaboration with product, design, operations, and infrastructure teams, directly impacting user engagement metrics for billions of users
Architect and implement next-generation user interfaces using cutting-edge programming techniques, establishing new industry standards for social technology interaction
Design and develop scalable software components that serve as foundational infrastructure for back-end platforms, ensuring system reliability at Meta's massive scale
Lead comprehensive code optimization initiatives that enhance quality, efficiency, and performance across multiple product lines, directly contributing to operational cost reduction
Provide technical leadership and strategic guidance to engineering peers while spearheading complex technical and product initiatives that shape company direction
Design and implement efficient, scalable system architectures that power complex applications serving global user bases, establishing technical foundations for future growth
Identify, analyze, and resolve critical performance and scalability challenges, ensuring optimal user experience across diverse global markets and network conditions
Master and implement diverse coding languages and technologies, maintaining technical versatility to adapt to rapidly evolving technological landscapes
Establish comprehensive ownership of critical components, features, or systems with demonstrated end-to-end technical understanding, becoming a key decision-maker in system evolution

Requirements

Education

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

Experience

6+ years of experience in software engineering or a relevant field. 3+ years of experience if you have a PhD

Required Skills

2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field Experience with scripting languages such as Python, Javascript or Hack Experience with developing machine learning models at scale from inception to business impact Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships Experience building and shipping high quality work and achieving high reliability Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
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Sauge AI Market Intelligence

Industry Trends

The machine learning engineering field is experiencing unprecedented growth with companies investing heavily in AI-driven personalization and recommendation systems, particularly in social media platforms where user engagement directly correlates with revenue generation. Meta's focus on ML engineering reflects the industry's shift toward algorithmic content curation and predictive user experiences. The metaverse and immersive technology sector is rapidly expanding, with major tech companies pivoting toward augmented and virtual reality experiences. This represents a fundamental shift in how software engineering roles are evolving, requiring engineers to think beyond traditional 2D interfaces and consider spatial computing paradigms. Singapore's position as a major tech hub in Southeast Asia is attracting significant investment from global technology companies, creating a competitive talent market for senior engineering roles. The region's strategic importance for serving Asian markets makes it a critical location for companies like Meta to establish strong engineering presence. Cross-functional collaboration in engineering roles is becoming increasingly important as products become more complex and require seamless integration between technical and business teams. The emphasis on working with product, design, and operations teams reflects the industry's move toward more holistic product development approaches.

Role Significance

The role likely involves working within a team of 8-12 engineers, with direct collaboration responsibilities across multiple cross-functional teams including product managers, designers, and infrastructure engineers. The emphasis on consensus-building and technical direction suggests influence over 15-25 professionals across various functions.
This is a senior-level individual contributor role with significant leadership responsibilities and technical influence. The position requires someone who can operate independently while providing guidance to other engineers, indicating a senior IC level (typically L5-L6 in Meta's engineering hierarchy) with potential for staff-level impact.

Key Projects

Development and optimization of machine learning recommendation systems that serve billions of users across Meta's platform ecosystem Architecture and implementation of next-generation user interface technologies for immersive AR/VR experiences Large-scale system performance optimization projects that impact global user experience metrics Cross-platform feature development that requires coordination between mobile, web, and emerging technology platforms Infrastructure scaling initiatives to support Meta's expanding user base in Asia-Pacific markets

Success Factors

Deep technical expertise in machine learning combined with proven ability to scale models from research concepts to production systems serving billions of users, requiring both theoretical knowledge and practical implementation skills Strong leadership and communication capabilities to drive consensus across diverse cross-functional teams, as the role requires influencing without direct authority and building alignment between technical and business stakeholders Adaptability and continuous learning mindset to work across multiple programming languages and emerging technologies, particularly as Meta transitions toward metaverse and immersive technology platforms Systems thinking and architectural vision to design scalable solutions that can handle Meta's massive scale while maintaining performance and reliability standards Cultural adaptability and regional market understanding to effectively contribute to Meta's Asia-Pacific strategy and user experience optimization for diverse global markets

Market Demand

Exceptionally high demand driven by the convergence of machine learning expertise requirements, Meta's continued expansion in Asia-Pacific markets, and the general scarcity of senior engineers with both ML and large-scale system experience. The combination of technical depth and leadership experience creates a highly competitive candidate profile.

Important Skills

Critical Skills

Machine learning model development and scaling expertise is absolutely essential as Meta's competitive advantage increasingly depends on algorithmic content curation, recommendation systems, and personalization technologies that directly drive user engagement and advertising revenue Large-scale system architecture and performance optimization skills are critical due to Meta's massive global user base and the complex technical challenges of serving billions of users across diverse network conditions and device capabilities Cross-functional collaboration and technical leadership abilities are vital because modern product development at Meta requires seamless coordination between engineering, product, design, and business teams, with engineers often serving as technical advisors in strategic decisions Programming language versatility particularly in Python, C++, and JavaScript is essential due to Meta's diverse technology stack and the need to work across different platforms, from mobile applications to backend infrastructure to emerging AR/VR systems

Beneficial Skills

Experience with PyTorch and TensorFlow frameworks provides significant advantage as Meta heavily utilizes these tools for machine learning development and having deep expertise accelerates contribution to ML-focused projects Advanced degree in Computer Science or related field, while not required, provides valuable theoretical foundation for tackling complex algorithmic challenges and contributes to technical credibility in research-oriented discussions Understanding of immersive technology concepts including AR/VR development, spatial computing, and 3D graphics programming aligns with Meta's strategic metaverse initiatives and positions candidates for high-impact project assignments Regional market knowledge and cultural understanding of Asian markets enhances effectiveness in the Singapore role, particularly for product localization decisions and understanding diverse user behavior patterns across different cultural contexts

Unique Aspects

This role uniquely combines traditional software engineering excellence with cutting-edge machine learning applications at unprecedented scale, offering exposure to both established social media platforms and emerging metaverse technologies
The position provides rare opportunity to work on products that directly impact billions of users daily, creating immediate feedback loops between engineering decisions and real-world user behavior across diverse global markets
Meta's significant investment in Singapore operations creates unique access to both Western and Asian market perspectives, allowing engineers to develop global product sensibilities while being based in a strategic Asian technology hub
The role sits at the intersection of multiple high-growth technology areas including machine learning, immersive computing, and large-scale distributed systems, providing exceptionally broad technical exposure and career optionality
Working at Meta during its metaverse transformation period offers front-row experience in one of the technology industry's most significant strategic pivots, with potential for substantial professional impact and recognition

Career Growth

Career progression to staff-level individual contributor roles typically occurs within 2-3 years with strong performance, while transition to management or principal engineering roles generally requires 3-5 years of demonstrated leadership impact and technical excellence in current role.

Potential Next Roles

Staff Software Engineer specializing in ML infrastructure and platform development, focusing on building foundational systems that enable other engineers to develop ML applications more efficiently Engineering Manager for ML teams, transitioning from individual contributor to people management while maintaining technical oversight of machine learning initiatives Principal Engineer or Technical Lead for emerging technology initiatives, particularly in AR/VR and metaverse development, leveraging both ML expertise and system architecture skills Product-focused technical roles such as Technical Product Manager for ML-driven features, combining technical depth with product strategy and market analysis Specialized roles in ML research and development, potentially transitioning to Meta's AI research divisions or similar research-focused positions at other major tech companies

Company Overview

Meta

Meta stands as one of the world's largest technology companies, operating multiple platforms including Facebook, Instagram, WhatsApp, and Messenger that collectively serve over 3 billion users globally. The company is currently undergoing a significant strategic transformation, pivoting from traditional social media toward building the metaverse and immersive technology experiences, requiring substantial investment in new engineering capabilities and talent acquisition.

Meta maintains a dominant position in the global social media and digital advertising markets, consistently ranking among the top technology companies by market capitalization and revenue. Despite recent challenges related to privacy regulations and market competition, the company continues to generate substantial revenue and invest heavily in research and development, particularly in AI and immersive technologies.
Singapore serves as Meta's key Asia-Pacific hub, housing critical engineering, business, and strategic operations that support the company's expansion across Southeast Asian and broader Asian markets. The Singapore office plays a crucial role in product localization, regional market development, and serving as a bridge between Meta's global strategy and local market needs.
Meta is known for its fast-paced, innovation-driven culture that emphasizes rapid experimentation, data-driven decision making, and significant individual autonomy. The company promotes a culture of 'move fast and break things' (evolved to 'move fast with stable infrastructure'), encouraging engineers to take ownership of their projects and make impactful decisions while maintaining high standards for execution and reliability.
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