Staff AI Engineer: Post-Training & RL

SpaceXSI; Palo Alto (CA); On-site; USD 180,000 - 600,000; Full time

Benefits offered by this job

Equity

Medical

Vision

Dental

401(k)

Disability insurance

Life insurance

Other perks

Job summary

SpaceXSI is seeking a Member of Technical Staff specializing in post-training and reinforcement learning. The role focuses on advanced challenges such as reward modeling, preference optimization (RLHF/DPO), and RL to enhance reasoning, truthfulness, and real-world capabilities.

You will gain clarity on your first project before an offer, and you will join a meritocratic team pushing the boundaries of AI alignment.

Qualifications

• You believe truth-seeking AI is the most important and challenging problem.
• You are obsessed about building incredibly useful models through post-training and RL techniques.
• You are a power user of AI models and eager to push the boundaries of reinforcement learning and alignment methods.
• If you previously worked on post-training, RLHF, or trained models used by millions of people it’s a big plus, but relevant experience is not required.
• You take pride in your work and thrive in meritocratic environments.

Responsibilities

• Work on post-training and reinforcement learning challenges, including reward modeling and preference optimization (RLHF/DPO).
• Apply RL to improve reasoning, truthfulness, and real-world capabilities.

Skills

Post-training RL

RLHF

Model alignment

Truth-seeking AI

Meritocratic culture

Job description

SpaceXSI is seeking a Member of Technical Staff specializing in post-training and reinforcement learning. The role focuses on advanced challenges such as reward modeling, preference optimization (RLHF/DPO), and RL to enhance reasoning, truthfulness, and real-world capabilities.

You will gain clarity on your first project before an offer, and you will join a meritocratic team pushing the boundaries of AI alignment.