about 5 hours ago
Tokyo, Japan or Barcelona, SpainSenior / Staff+
H1B Sponsor
Responsibilities
- Advance research on agentic AI systems trained on real-world interaction signals.
- Design and experiment with learning paradigms for large-scale models.
- Develop multimodal representation learning approaches.
- Improve speech and audio intelligence capabilities.
- Research methods for enhancing agent reasoning and adaptation.
- Define effective training objectives for large-scale models.
- Build and refine evaluation methodologies for agent performance.
- Collaborate with engineering and product teams to implement research.
- Identify patterns in workflows for generalizable modeling strategies.
- Contribute to the long-term research direction of Toptal’s AI systems.
Requirements
- PhD in Computer Science, Machine Learning, AI, Electrical Engineering, or a related field.
- 5+ years of experience in applied AI research or ML systems.
- Strong background in large-scale machine learning and multimodal AI systems.
- Hands-on experience with RAG systems and fine-tuning large language models.
- Experience with reinforcement learning methods like RLHF, DPO, or GRPO.
- Strong understanding of representation learning and joint embedding spaces.
- Experience with speech and audio modeling, including STT and ASR.
- Proficiency in Python and modern ML frameworks like PyTorch.
- Experience designing evaluation methodologies for LLMs or agentic systems.
- Outstanding written and verbal communication skills in English.