Technical Lead, Machine Learning

📋 Description

• Design, build, and scale production ML systems for AI apps.
• Own infra to train, deploy, monitor, and optimize LLMs.
• Develop training pipelines, evaluation frameworks, and data workflows.
• Fine-tune foundation models using LoRA, QLoRA, SFT, DPO.
• Optimize inference performance, latency, and GPU utilization.
• Build robust datasets and evaluation processes for AI systems.

🎯 Requirements

• Proven experience building and deploying production ML systems.
• Strong Python with PyTorch or JAX hands-on.
• Practical LLMs experience: fine-tuning, evaluation, inference.
• Deep understanding of ML infra, distributed training, GPUs.
• Ownership mindset; scalable, reliable, maintainable code.
• Experience designing ML pipelines, deployments, and monitoring.

🎁 Benefits

• Founding engineering role with ownership of tech direction.
• Build AI infrastructure from early stages.
• Competitive compensation with cash and equity.
• Remote-first environment with flexible locations.
• Work with a small, talented team solving AI problems.
• High impact, shaping engineering culture and standards.