Staff Machine Learning Engineer

📋 Description

• Design and implement scalable ML/LLM pipelines across use cases.
• Build production-grade ML/LLM infrastructure.
• Develop modular components and CI/CD for rapid experimentation.
• Establish standards for scalability, reliability, security, testing, compliance.
• Implement observability, drift detection, logging, and rollback strategies.
• Deploy ML solutions using cloud platforms and cloud data services.

🎯 Requirements

• 8+ years of professional ML engineering experience.
• At least 2 years working with large language models and LLM apps.
• Strong skills in scalable ML pipelines for traditional ML and LLM workloads.
• Experience automating, deploying, monitoring, and maintaining ML workflows in production.
• Hands-on with cloud platforms, including deployment, resource management, and APIs for data.
• Strong production ML engineering practices: reliability, observability, testing, CI/CD, and

🎁 Benefits

• Annual cash compensation of $210,000–$250,000.
• Stock options as part of total compensation.
• Comprehensive employee benefits and perks.
• Opportunity to work on advanced AI/ML challenges with real-world impact.
• Exposure to complex LLM/ML systems in an AI-native environment.
• Strong leadership, mentorship, and professional growth opportunities.