Research Engineer - Post Training

Requirements

• Strong software engineering and systems-building skills.
• Deep understanding of machine learning and fine-tuning of large language models (LLMs).
• Hands-on experience improving model behavior through data-driven methods and reinforcement learning (SFT, PPO, DPO, or similar).
• Familiarity with large-scale data generation and evaluation pipelines.
• Experience developing benchmarks and evaluation metrics for reasoning, coding, or multi-agent systems.
• Proven ability to design or optimize models for complex challenges such as multi-modality, long-context reasoning, or multi-agent orchestration.

Benefits

• Competitive compensation
• Flexible working hours
• Awesome colleagues
• Amazing work culture