AI Researcher

About the role

Toptal is building a dedicated AI Research team focused on advancing agentic AI systems using large‑scale real‑world interaction data. As an AI Researcher you will work at the intersection of model development, multimodal representation learning, and reinforcement learning to create more capable, reasoning agents.

Key responsibilities

• Advance research on agentic AI systems trained on real‑world interaction signals and multimodal data.
• Design and experiment with learning paradigms such as Retrieval‑Augmented Generation (RAG), supervised fine‑tuning, RLHF, DPO and GRPO.
• Develop multimodal representation approaches, including joint embedding spaces across text, audio, logs and structured interaction traces.
• Improve speech and audio intelligence capabilities (STT, ASR, audio signal modeling).
• Define training objectives that translate complex behavioral signals into effective large‑scale model learning.
• Build and refine evaluation methodologies for agent performance in domain‑specific scenarios.
• Collaborate with engineering and product teams to translate research breakthroughs into production‑ready systems.

Required profile

• Strong research background in AI, machine learning or related fields.
• Experience with large‑scale model development, multimodal data, and reinforcement learning.
• Ability to work remotely and communicate fluently in English.
• Proven ability to collaborate with engineering and product teams.

Required skills

• Retrieval‑Augmented Generation (RAG)
• Supervised fine‑tuning
• Reinforcement Learning from Human Feedback (RLHF)
• Direct Preference Optimization (DPO)
• Generalized Preference Optimization (GRPO)
• Joint embedding spaces for multimodal data
• Speech‑to‑Text (STT)
• Automatic Speech Recognition (ASR)
• Audio signal modeling

What we offer

• Fully remote work environment.
• Opportunity to shape cutting‑edge AI research.
• Collaboration with a global network of top talent.