Staff ML Engineer

📋 Description

• Deliver end-to-end ML use cases (recommendation, safety).
• Ensure production readiness, scalability, and long-term maintainability.
• Balance speed of delivery with robustness and reliability.
• Define and improve the ML lifecycle (training, deployment, monitoring).
• Establish KPIs and monitoring standards for model performance.
• Align ML initiatives with product and safety objectives.

🎯 Requirements

• 8-10 years of ML/Data experience with large-scale datasets.
• Expertise in modern ML frameworks (TensorFlow, PyTorch, or JAX).
• Proficiency in Python (data ecosystem).
• Deep knowledge of neural networks and LLMs.
• End-to-end ML systems experience (data, training, deployment, monitoring).
• Production ML systems experience with impact orientation.

🎁 Benefits

• Competitive salary and company equity.
• Flexible remote policy; 2 days in-office monthly with team events.
• Coverage for external events and meetups.
• Comprehensive health insurance for you and your family.
• Family-friendly policies and parental leave.