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Staff Machine Learning Engineer

Austin, TX💼 Full-time🗓 2026-07-10 → 2026-09-25

Core

Lead the development, optimization, and deployment of Large Language Models (LLMs) and Mixture of Experts (MoEs) for an end-to-end private AI platform.

Role type

Staff Machine Learning Engineer (LLM/MoE specialist)

Builds

Specialized AI models optimized for on-device inference, quantization, RAG, and agentic frameworks

Domain

Artificial Intelligence / Large Language Models

Deliverable

production ML models

Required skills

Large Language Models (LLMs), Mixture of Experts (MoEs), Python, TensorFlow, PyTorch, model optimization, quantization, RAG, agentic frameworks, team leadership

Preferred skills

Cloud computing (AWS, Azure, GCP), Big Data technologies (Hadoop, Spark), containerization (Docker, Kubernetes), academic publications

Responsibilities

Lead development and optimization of LLMs and MoEs; Integrate ML models into the platform; Conduct cutting-edge research to improve model performance and efficiency; Mentor junior engineers

Seniority

Staff, hands-on IC with strategic leadership

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