Senior RL Research Engineer: LLM-Driven Autonomous Agents

Xpengmotors; Santa Clara (CA); On-site; USD 244,140 - 413,160; Full time

Benefits offered by this job

Competitive compensation package

Snacks and lunches

Fun activities

Job summary

Xpengmotors is seeking exceptional Research Engineers / Scientists in Santa Clara to design learning systems for AI-driven vehicles. You will work at the intersection of reinforcement learning, large language models, and real-world autonomous systems.

This role involves developing algorithms that continuously improve through feedback and integrating real-world data into ML training systems. Candidates should have an MS or PhD in Computer Science or related fields and possess strong programming skills in Python.

Qualifications

• Strong background in reinforcement learning or machine learning.
• Experience implementing RL algorithms such as PPO, Actor-Critic, or policy gradient methods.
• Experience building ML training systems or infrastructure.

Responsibilities

• Develop reinforcement learning methods for LLM-driven agents.
• Optimize policies for long-horizon reasoning and planning.
• Create agent training pipelines on agent infrastructure.

Skills

Reinforcement learning

Machine learning

Python

ML training systems

Education

MS or PhD in Computer Science, AI, Machine Learning, Robotics

Tools

PyTorch

JAX

Job description

Xpengmotors is seeking exceptional Research Engineers / Scientists in Santa Clara to design learning systems for AI-driven vehicles. You will work at the intersection of reinforcement learning, large language models, and real-world autonomous systems.

This role involves developing algorithms that continuously improve through feedback and integrating real-world data into ML training systems. Candidates should have an MS or PhD in Computer Science or related fields and possess strong programming skills in Python.