Staff AI/ML Engineer, Deep Agentic Reasoning Engineer (Lorenz Labs)
Core
Design and build multimodal reasoning models (time-series, audio, video, sensor data) for Edge AI applications and agentic systems.
Role type
Staff AI/ML Engineer (Deep Agentic Reasoning)
Builds
Multimodal reasoning models and agentic frameworks for edge AI
Domain
Semiconductor, Edge AI, AI Research
Deliverable
production ML models
Required skills
Transformer model training and evaluation, Supervised fine-tuning, Reinforcement Learning (RL), Transformer architecture modification, Chain-of-Thought (CoT), Multi-agent orchestration, Knowledge distillation
Preferred skills
JEPA training, World models, Diffusion-based generation, Dynamic multi-agent harnesses
Technologies
Python, PyTorch, TensorFlow, LangGraph
Responsibilities
Develop and evaluate deep learning models for multimodal classification and reasoning tasks; Engage in the full research lifecycle including data collection, annotation, preprocessing, model training, and evaluation; Prototype models and implement core reasoning improvements; Apply distillation techniques to transfer capabilities to smaller models; Document experiments and results through reports and publications
Seniority
Staff, hands-on IC with research leadership