Latest ML Engineering jobs at Level AI

Leads backend and ML infrastructure architecture across distributed processing, GPU fleets, model serving, and reliability. The role requires 10+ years of large-scale systems experience, strong architectural ownership, and a Computer Science degree or equivalent track record.

Build and deploy LLM-powered agents and production AI/NLP pipelines, focusing on RAG, agentic systems, model optimization, and scalable deployment. The role requires 3+ years of machine learning or applied AI experience, strong Python skills, and experience with modern ML frameworks and infrastructure.

Build and deploy scalable NLP and LLM solutions for voice agents, classification, information retrieval, and agentic applications. The role requires 3+ years of machine learning and NLP experience, strong Python/PyTorch skills, and experience with production model deployment.

Build, deploy, and maintain scalable speech recognition pipelines, while experimenting with model architectures and modern ASR techniques. Requires 2+ years of experience, strong machine-learning fundamentals, Python and PyTorch expertise, and a bachelor's degree.