Technical Lead, Machine Learning

📋 Description Design, build, and scale production ML systems for AI applications. Own infra to train, deploy, monitor, and optimize LLMs in production. Develop and maintain training pipelines, eval frameworks, and data workflows. Fine-tune foundation models using LoRA, QLoRA, SFT, and DPO. Optimize inference performance, latency, reliability, and GPU utilization. Build high-quality datasets and robust evaluation processes. 🎯 Requirements Proven experience building and deploying production ML systems used by real users. Strong Python skills with PyTorch or JAX. Practical experience with LLMs, including fine-tuning, evaluation, and inference. Deep understanding of ML infrastructure, distributed training, and GPU computing. Experience designing ML pipelines, deployment workflows, and monitoring. Experience leading or guiding ML teams is highly desirable. 🎁 Benefits Founding engineering role with ownership over technical direction. Opportunity to build AI infrastructure and systems from earliest stages. Competitive compensation with cash and equity. Remote-first working environment with flexibility across eligible locations. Work with a small, highly talented engineering team on AI problems. High impact and visibility shaping engineering culture.