Staff Machine Learning Engineer

We're looking for a Staff ML Engineer to lead the development of our AI-powered recommendation and personalization systems. You'll work at the intersection of research and production, implementing cutting-edge ML models that directly impact millions of users. Our ML infrastructure is built on Python, PyTorch, and Kubernetes, with data pipelines processing petabytes of user interaction data.

In this role, you'll collaborate with research scientists, data engineers, and product teams to design and deploy scalable ML systems. You'll also establish best practices for ML engineering across our organization and mentor other engineers in building production-ready ML solutions.

• 7+ years of experience in machine learning engineering with production ML systems
• Deep expertise in Python, PyTorch/TensorFlow, and MLOps tools (MLflow, Kubeflow)
• Experience with large-scale data processing frameworks (Spark, Kafka)
• Strong understanding of recommendation systems, NLP, or computer vision
• Proficiency with cloud ML platforms (AWS SageMaker, GCP Vertex AI)
• Experience with A/B testing and experimentation frameworks
• Track record of leading technical projects and mentoring engineers