Senior AI/ML Engineer — Scalable GenAI & Ranking Systems

Meta; Redmond; On-site; AUD 224,000 - 316,000; Full time

Job summary

Meta is seeking an AI/ML Engineer to design, build, and deploy machine learning systems at scale across the product ecosystem. You will advance models for ranking, recommendation, and generative AI, from research to production with reliability and performance.

Responsibilities include end-to-end design, profiling pipelines, online experiments, and collaborating with product managers and researchers to translate requirements into measurable improvements.

Qualifications

• 6+ years designing and deploying ML models in production.
• 6+ years with PyTorch or TensorFlow and Python.
• Experience with large-scale distributed training and ML serving infrastructure.
• Experience running online experiments (A/B) to measure product impact.
• Ability to communicate technical decisions to both technical and non-technical stakeholders.

Responsibilities

• Design and deploy large-scale ML models and AI pipelines across product surfaces.
• Own end-to-end technical design of AI/ML systems and evaluate modeling approaches.
• Profile ML training and serving pipelines to reduce latency and optimize compute.
• Establish evaluation frameworks, metrics, online experiments, and monitoring for production models.
• Collaborate with product managers, data scientists, and researchers to translate requirements into ML problems.
• Contribute to AI tooling and infrastructure, improving developer workflows and adoption of best practices.
• Apply privacy-by-design principles and data governance throughout the lifecycle.
• Mentor engineers on ML system design and engineering craft; contribute to recruiting.
• Use AI-augmented development workflows to expand scope beyond core modeling work.
• Drive staged rollouts using feature flags and A/B testing; monitor for regressions.

Skills

ML deployment

Python

A/B testing

Cross-functional collaboration

Mentoring

Tools

PyTorch

TensorFlow

ML serving

Job description

Meta is seeking an AI/ML Engineer to design, build, and deploy machine learning systems at scale across the product ecosystem. You will advance models for ranking, recommendation, and generative AI, from research to production with reliability and performance.

Responsibilities include end-to-end design, profiling pipelines, online experiments, and collaborating with product managers and researchers to translate requirements into measurable improvements.