Agent ML Research Engineer – Post-Training RL, Equity

Scale AI; United States; Hybrid; USD 180,600 - 315,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Retirement benefits

Learning and development stipend

Generous PTO

Commuter stipend

Job summary

A leading AI technology company is seeking a Machine Learning Research Engineer to develop state-of-the-art models and algorithms for enterprise clients. The role involves training ML models, researching cutting-edge algorithms, and building high-performing agents using proprietary methods. Candidates should have experience with LLMs, relevant publications, and a degree in Computer Science. Competitive compensation and benefits offered.

Qualifications

• 1–3 years of building with LLMs in a production environment.
• Experience with related algorithms such as PPO/GRPO.
• Publications in top conferences within last two years.

Responsibilities

• Train state‑of‑the‑art models for enterprise customers.
• Research algorithms to integrate into training stack.
• Build agents to automatically hill‑climb datasets.

Skills

Building with LLMs

Experience with post-training methods like RLHF/RLVR

Research in cutting-edge algorithms

Education

Ph.D. or Master’s in Computer Science

Job description

A leading AI technology company is seeking a Machine Learning Research Engineer to develop state-of-the-art models and algorithms for enterprise clients. The role involves training ML models, researching cutting-edge algorithms, and building high-performing agents using proprietary methods. Candidates should have experience with LLMs, relevant publications, and a degree in Computer Science. Competitive compensation and benefits offered.