Research Engineer - Post-Training & Data Environments

Mercor; San Francisco (CA); On-site; Full time

Benefits offered by this job

Generous equity grant

$10K housing bonus

$1.5K monthly food stipend

Free Equinox membership

Health insurance

Job summary

A leading AI development company in San Francisco seeks a Research Engineer to work at the intersection of engineering and applied AI research. In this role, you will enhance model performance through post-training and RLVR pipelines, design experiments, and build scalable systems. The ideal candidate has a strong applied research background, coding proficiency, and is excited to thrive in a high-intensity environment. Benefits include equity grants, housing bonuses, and generous stipends.

Qualifications

• Strong applied research background in post-training and/or model evaluation.
• Experience with machine learning models and strong coding skills.
• Understanding of data structures, algorithms, and backend systems.

Responsibilities

• Work on post-training and RLVR pipelines to enhance model performance.
• Design reward-shaping experiments for LLM improvements.
• Quantify data usability and performance uplift on benchmarks.
• Build data generation and augmentation pipelines.
• Create scoring frameworks that guide training decisions.
• Operate in an experimental research environment.

Skills

Applied research background

Coding proficiency

Data structures and algorithms

Machine learning models experience

APIs familiarity

SQL/NoSQL databases knowledge

Cloud platforms awareness

Model behavior reasoning

Job description

A leading AI development company in San Francisco seeks a Research Engineer to work at the intersection of engineering and applied AI research. In this role, you will enhance model performance through post-training and RLVR pipelines, design experiments, and build scalable systems. The ideal candidate has a strong applied research background, coding proficiency, and is excited to thrive in a high-intensity environment. Benefits include equity grants, housing bonuses, and generous stipends.