Frontier AI Research Engineer: RL & Prototyping

Braintrust; Indonesia; Remote; IDR 390,600,000 - 725,400,000; Part time

Job summary

Braintrust is advancing frontier AI through rigorous research and engineering, focusing on synthetic and agentic data, reinforcement learning, and model evaluation. You will design experiments, build prototypes and scale validated findings into robust AI systems.

You will collaborate with Research, Engineering, Product and Operations, mentor engineers, and share results through reports, publications and open-source work.

Qualifications

• 7+ years of professional experience in ML research or frontier AI.
• PhD or master's in AI/ML/CS or equivalent research track.
• Strong ML foundations and experiment design.
• Research experience in synthetic/agentic data, RL, post-training, AI evaluation or tooling.
• Strong Python and ML tooling experience.
• Rigorous data quality and reproducible research methods.
• Excellent written and verbal communication and cross-functional collaboration.
• Mentoring engineers or researchers and providing technical leadership.

Responsibilities

• Investigate frontier-model capabilities, limitations and training methods, formulate research questions and explore new approaches.
• Build datasets, experiments, prototypes, tooling and evaluation frameworks. Train, test and evaluate models using modern ML tools.
• Analyze results with scientific rigor, data quality, reproducibility and evidence-based interpretation. Iterate from hypotheses to validated insights.
• Collaborate across Research, Engineering, Product and Operations to translate findings into practical systems.
• Communicate findings through technical reports, publications, open-source work and research forums; contribute through peer review and mentorship.

Skills

Python programming

ML frameworks

Research leadership

Experiment design

Cross-functional collaboration

Education

PhD or Master’s in AI/ML/CS

Tools

PyTorch

TensorFlow

Jupyter

Job description

Braintrust is advancing frontier AI through rigorous research and engineering, focusing on synthetic and agentic data, reinforcement learning, and model evaluation. You will design experiments, build prototypes and scale validated findings into robust AI systems.

You will collaborate with Research, Engineering, Product and Operations, mentor engineers, and share results through reports, publications and open-source work.