Lovart AI · 1 week ago
Agent Algorithm Engineer
San Francisco Bay Area
Full-time
Onsite
Mid Level
$250K/yr - $400K/yrLovart AI is focused on advancing Artificial Intelligence technologies, and they are seeking a Senior Agent Algorithm Engineer to conduct in-depth research on Large Language Models and develop end-to-end Agent systems. The role involves optimizing model adaptability in creative scenarios and enhancing user experience through personalized output capabilities.
Artificial Intelligence (AI)Machine LearningSaaS
Hiring Manager
Arina Z.
Responsibilities
Conduct in-depth research on the reasoning and generation capabilities of Large Language Models (LLMs), explore LLM reasoning techniques (such as Chain-of-Thought and multi-step reasoning), and optimize the processes and outcomes of complex creative tasks
Build end-to-end Agent systems covering user intent recognition, knowledge retrieval, content generation and style preference alignment, to enhance user experience and personalized output capabilities
Optimize the adaptability of models in creative scenarios through technologies such as Instruction Tuning and preference alignment (RLHF/DPO)
Conduct in-depth research on the reasoning and generation capabilities of Large Language Models (LLMs), explore LLM reasoning techniques (such as Chain-of-Thought and multi-step reasoning), and optimize the processes and outcomes of complex creative tasks
Build end-to-end Agent systems covering user intent recognition, knowledge retrieval, content generation and style preference alignment, to enhance user experience and personalized output capabilities
Optimize the adaptability of models in creative scenarios through technologies such as Instruction Tuning and preference alignment (RLHF/DPO)
Qualification
Required
Master's degree or above in relevant fields including Computer Science, Artificial Intelligence, Natural Language Processing, Computer Vision, etc
Proficient in deep learning frameworks (e.g., PyTorch, TensorFlow), with experience in training and optimizing Large Language Models (LLMs, e.g., GPT, LLaMA)
Familiar with content generation technologies (e.g., text generation, Text2Image, Text2Video), and proficient in Retrieval-Augmented Generation (RAG), Agent architecture design and Prompt Engineering
Preferred
Candidates who have published papers related to content generation or multimodality in top-tier conferences (e.g., ACL, EMNLP, CVPR, NeurIPS) are preferred
Candidates with contributions to open-source projects (e.g., Stable Diffusion, DALL-E, LangChain) or independent Agent development experience are preferred
Candidates familiar with multimodal models (e.g., GPT-4V, Flamingo) or Reinforcement Learning (RL) are preferred
Company
Lovart AI
Design your masterpieces with Lovart today.
Founded in 2025
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase