Technical Lead, Machine Learning

📋 Description Design and scale production ML systems for AI apps. Own infra for training, deploying, monitoring, and optimizing LLMs. Develop pipelines, eval frameworks, and data workflows to improve models. Fine-tune foundation models using LoRA, QLoRA, SFT, and DPO. Optimize inference latency, reliability, and GPU resource use. Collaborate with backend and product teams to ship AI features. 🎯 Requirements Proven experience building and deploying production ML systems used by real users. Strong Python with PyTorch or JAX experience. Practical experience with LLMs: fine-tuning, evaluation, and inference optimization. Deep understanding of ML infrastructure, distributed training, and GPU computing. Strong software engineering mindset with scalability, reliability, maintainability, and quality code. Experience designing ML pipelines, deployment workflows, monitoring, and production AI services. 🎁 Benefits Founding engineering role with ownership over technical direction and product architecture. Build AI infra and systems from early stages. Competitive compensation including cash and equity opportunities. Remote-first environment with flexibility across eligible locations. Work with a small, highly talented team solving challenging AI problems. Strong impact and visibility, shaping engineering culture and standards.