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.