AI汽车座舱算法研发工程师 - 火山引擎
Core
Develop and optimize AI in-vehicle cockpit agents, focusing on post-training, data construction, and edge deployment for multi-modal large models.
Role type
Senior IC machine-learning engineer (automotive in-vehicle AI)
Builds
AI in-vehicle cockpit agents and context management systems for automotive infotainment
Domain
Automotive technology + Large Language Models (LLM) / Vision-Language Models (VLM)
Deliverable
production ML models
Required skills
Transformer architecture, Attention mechanisms, KV Cache, LLM/VLM training and inference, PyTorch, multi-modal model understanding, experimental design, data analysis, model quantization, inference acceleration
Preferred skills
Reinforcement learning, multi-turn task optimization, cross-lingual data handling, edge device deployment
Technologies
PyTorch, Transformer, LLM, VLM, SFT, Reinforcement Learning
Responsibilities
Post-train and iterate AI cockpit agent models (SFT, RL, trajectory data), build data and evaluation loops for model performance, optimize interaction strategies (rejection, interruption), design context system algorithms for memory and state management, deploy and accelerate LLM/VLM on edge devices
Seniority
Senior, hands-on IC
