Staff Machine Learning Engineer, Embeddings

???? Description

• Architect and lead large-scale ML techniques.
• Define and execute ML strategy to boost personalization and recommendations.
• Lead research on scalable ML systems and real-time adaptation.
• Partner with ML infra to build distributed training across GPUs and cloud.
• Establish and optimize real-time serving for embeddings with low latency.
• Collaborate with Feed Ranking, Ads, Content Understanding, Core ML to integrate models.

???? Requirements

• 8+ years in ML engineering focusing on large-scale systems and personalization.
• Expertise in modern deep learning architectures, including sequence models and foundational models.
• Design, implement, and optimize scalable ML architectures: distributed training and real-time inference.
• Strong software engineering in Python and C++, with ML infrastructure and cloud pipelines.
• Experience with A/B testing, model evaluation frameworks, and real-time feedback loops.
• Excellent communication skills to present ML concepts to stakeholders.

???? Benefits

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits

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