Production RL Engineer: Train & Deploy Web-Data Models

Firecrawl; San Francisco (CA); Hybrid; USD 180,000 - 270,000; Full time

Benefits offered by this job

Up to 0.15% equity

Generous PTO

Parental leave

Wellness stipend

Learning & Development budget

Job summary

A leading data extraction company is seeking a Research Engineer focused on reinforcement learning in San Francisco or Remote. In this full-time role, you will build training infrastructures, fine-tune models, and bridge classical RL and modern agent systems. Ideal candidates have 3+ years in applied RL or ML engineering and are comfortable communicating across teams. Competitive salary of $180,000–$270,000 with great benefits including equity, generous PTO, and wellness stipends.

Qualifications

• 3+ years of experience in applied reinforcement learning, ML engineering, or model training with production systems.
• Experience operating GPU clusters, managing training runs, and debugging convergence issues.

Responsibilities

• Build training infrastructure and reward pipelines from scratch.
• Fine-tune models to achieve state-of-the-art results.
• Run fast experiments and iterate quickly.
• Communicate RL concepts clearly to non-RL stakeholders.
• Collaborate with the research team.

Skills

Reinforcement learning

Machine learning engineering

Model training

Data pipelines

Experiment design

Job description

A leading data extraction company is seeking a Research Engineer focused on reinforcement learning in San Francisco or Remote. In this full-time role, you will build training infrastructures, fine-tune models, and bridge classical RL and modern agent systems. Ideal candidates have 3+ years in applied RL or ML engineering and are comfortable communicating across teams. Competitive salary of $180,000–$270,000 with great benefits including equity, generous PTO, and wellness stipends.