Senior ML Researcher, Applied Machine Learning
Red Cell Partners- Full Time
- Senior (5 to 8 years)
Candidates should be US-based, preferably on the West Coast, and possess exceptional communication skills, including experience working in large technical organizations. They should demonstrate a deep understanding of how LLM researchers operate, enabling them to translate ambiguous instructions into structured workflows. Furthermore, candidates are expected to have technical fluency and operational leadership, capable of leading AI/LLM training project delivery without needing to code, and a continuous improvement mindset focused on evolving team structure and delivery KPIs.
As a Research Lead, the individual will lead the end-to-end execution of LLM training projects utilizing Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), and Reinforcement Learning from Execution Feedback (RLEF), overseeing a cross-functional team to ensure high-quality data and model improvements. They will serve as the senior-most researcher accountable for strategic client alignment, throughput, quality, and operational efficiency across multiple programming languages, while also providing support and calibration guidance to other code teams. The role involves client engagement, gathering requirements, aligning on quality expectations, and managing feedback loops, as well as taking initiative to unblock teams, address quality issues, and streamline workflows.
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