Machine Learning Engineer (Technical Leadership)
Meta· Machine Learning
Hybrid (Singapore)Full-timePosted 3w ago
About the role
Principal ML engineering role focused on building and deploying scalable ML systems to detect and enforce content, with applications across Meta products including fraud detection, CTR prediction, search ranking, content enforcement, and spam detection.
Responsibilities
- Drive the team's ML strategy & technical direction to pursue opportunities that advance machine learning capabilities across the organization
- Design and develop end-to-end machine learning systems, from data pipelines to model training, evaluation, and deployment
- Lead experimentation and A/B testing frameworks to measure and optimize model performance
- Build highly scalable classifiers and ML tools leveraging deep learning, data regression, and rules-based models
- Adapt and optimize machine learning methods for modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU)
- Partner with research teams to translate cutting-edge ML research into production systems
- Mentor and influence ML engineers across organizations, raising the bar for ML best practices
- Identify new ML opportunities for the larger organization and influence staffing/prioritization of these initiatives
- Effectively communicate complex ML systems and architectural decisions to technical and non-technical stakeholders
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
- Experience in driving large cross-functional/industry-wide engineering efforts
- 12+ years of experience in programming languages (Python, C++, or Java) with technical background
- 8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or deep learning based methods
Skills
Required:ML strategy and technical leadershipEnd-to-end ML system designExperimentation and A/B testingDistributed computing / parallel environments
Last updated Oct 23, 2026. Interested? Apply on the company site.
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