Founding Reinforcement Learning Engineer

Job overview

The Founding Reinforcement Learning Engineer is an onsite, full-time role in San Francisco, CA, paying $125,000–$190,000 per year. The role works directly with the client’s founders to build core reinforcement-learning systems and shape the company’s technical direction.

What you'll do

• Design reinforcement-learning environments, reward functions, and training pipelines
• train and fine-tune models
• build evaluation frameworks
• run experiments
• scale training on GPU clusters
• turn research into production systems
• and help establish engineering culture and hire future engineers.

What we're looking for

Skills & competencies

reinforcement learning engineer

san francisco ca

fruition executive search

$125k–$190k

full-time

python

pytorch

jax

rlhf

ppo

gpu clusters

model evaluation

ai engineering

Work arrangement

• Weekend coverage required

Why this role

The posting seeks two or more years of hands-on reinforcement learning or machine-learning engineering experience, strong Python and PyTorch or JAX skills, and experience with distributed training and GPU infrastructure.

About the employer

Fruition Executive Search is hiring for this role. Industry: Employment Placement Agencies. Sector: 56.