Senior Machine Learning Engineer

📋 Description

• Design and ship production ML systems across Chakra, integrity, and evaluation.
• Own the full ML lifecycle from framing to deployment and iteration.
• Build evaluation and benchmarking pipelines to measure model quality.
• Define architecture and production bar for signal categories from scratch.
• Mentor junior ML engineers and raise the team's technical quality.
• Establish ML best practices: monitoring, feedback loops, and quality standards.

🎯 Requirements

• 4+ years building and shipping ML systems in production at scale.
• Systems thinking: accuracy, data pipelines, serving infra, and outcomes.
• Evaluation methodology matters as much as model performance.
• Proficient in Python with data pipelines and production deployments.
• Experience with multimodal systems: vision, NLP, audio, or signals.
• LLM experience: fine-tuning, RLHF, or multi-turn systems.