Job Summary:
Retell AI is a pioneering company in the voice AI sector, aiming to revolutionize call centers with intelligent AI workers. They are seeking a Research Scientist specializing in LLMs to explore new techniques, develop evaluation methods, and prototype systems that enhance voice AI performance.
Responsibilities:
• Explore and develop new techniques across LLMs and audio models to improve reasoning, latency, and conversational quality in real-time systems
• Rapidly build and iterate on models and pipelines, turning research ideas into working prototypes; innovate on paradigms, training methods, and inference
• Design novel evaluation frameworks, datasets, and metrics to measure performance on complex, real-world voice tasks
• Collaborate closely with engineering to translate research insights into deployable systems
• Develop methods to incorporate human evaluation into model improvement, especially for subjective conversational quality
• Stay at the cutting edge of ML research and bring new ideas into Retell's product and infrastructure
Qualifications:
Required:
• Strong ML research background with experience on advanced problems such as LLM pre-training and post-training, transcription model training, TTS, or multimodal systems, in industry or academia
• Deep technical foundation in PyTorch, model architectures, and the math behind modern machine learning
• Master's degree in Computer Science, Machine Learning, AI, or a related field; PhD preferred; equivalent research-level engineering experience also considered
Preferred:
• First or co-author publications at top-tier venues such as NeurIPS, ICML, ICLR, ACL, or Interspeech, or notable competition awards
• Experience translating research into systems that work in real-world, production environments
• Comfort operating in fast-paced environments with high ownership and ambiguity
Company:
Rethink Recruit offers staffing and recruiting services, focusing on efficient hiring solutions. Founded in 2020, the company is headquartered in Los Angeles, USA, with a team of 2-10 employees. The company is currently Early Stage.
