Senior Machine Learning Engineer

📋 Description Build, evaluate, and productionize ML models across the lifecycle (classical ML to fine-tuned small Design and operate GenAI/LLM integrations, including prompt design and cost/latency tradeoffs. Develop edge and cloud deployment strategies for models based on latency and privacy needs. Work on multimodal perception (speech, NLP, CV) and production ML services in collaboration with Improve data pipelines and ETL to feed ML models and improve learner outcomes. 🎯 Requirements 5+ years building and shipping ML systems to production. Languages: Rust or Go preferred; Python (or Julia) for data science. ML frameworks: PyTorch, JAX, TensorFlow (framework-agnostic sufficient). Tools: Git, code review, cross-team collaboration. Hands-on with AI coding tools and integrating hosted LLMs into production. Experience building from scratch and fine-tuning models; strong communication of tradeoffs. 🎁 Benefits Remote work with global impact. Greenfield architecture with modern ML stack. Exposure to edge deployment and multi-provider LLM routing.