AI Researcher

Job Summary

Seeking a full-time AI Researcher to work remotely, who will advance research on agentic AI systems using real-world interaction signals and multimodal data, while designing learning paradigms and improving speech and audio intelligence capabilities.

Key responsibilities:

• Advance research on agentic AI systems trained on real-world interaction signals and multimodal data
• Design and experiment with learning paradigms for large-scale models, including RAG, supervised fine-tuning, and reinforcement learning methods
• Collaborate with engineering and product teams to translate research breakthroughs into scalable systems

Required qualifications:

• PhD in Computer Science, Machine Learning, AI, Electrical Engineering, or a related field
• 5+ years of experience in applied AI research or ML systems with production impact
• Strong background in large-scale machine learning, LLMs, or multimodal AI systems
• Hands-on experience with reinforcement learning methods and speech and audio modeling
• Proficiency in Python and modern ML frameworks (e.g., PyTorch, Hugging Face ecosystem)