Distinguished Engineer, Machine Learning Systems – Economy

About This Role

Key ResponsibilitiesAI-extracted

• 1
  Set the technical direction for ML systems powering core economy experiences: personalization, ranking, generative modeling, and more
• 2
  Build and evolve infrastructure for training, serving, and evaluating both traditional ML models and Generative AI models
• 3
  Partner with GenAI teams to explore multi-modal embeddings, avatar generation, and retrieval-augmented generation (RAG) in economic surfaces
• 4
  Lead efforts to optimize ML system performance: low-latency serving, efficient GPU training, and cost-aware inference strategies
• 5
  Guide the development of robust ML pipelines, online feature stores, and experimentation platforms that support both predictive and generative use cases

RequirementsAI-extracted

• 10+ years of experience in software engineering or ML infrastructure, with a strong focus on large-scale ML systems
• Deep expertise in building recommendation systems, ranking infrastructure, or real-time personalization engines
• Hands-on experience with Generative AI, such as transformer-based models, LLMs, embeddings, or RAG pipelines
• Proven experience with distributed training, model deployment, and GPU-accelerated workflows
• Strong understanding of ML system architecture: data pipelines, feature stores, inference optimization, experimentation tooling

Perks & BenefitsAI-extracted