AI Researcher
New
South America, Europe, AsiaFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- 5+ years
- Required Skills
- PythonPyTorchLLM
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 with production impact.
- Strong background in large-scale machine learning, LLMs, or multimodal AI systems.
- Hands-on experience with RAG systems, fine-tuning LLMs, and reinforcement learning methods (RLHF, DPO, GRPO).
- Experience with VLM and joint embedding spaces.
- Experience with speech and audio modeling (STT, ASR, audio signal processing).
- Proficiency in Python and modern ML frameworks (PyTorch, Hugging Face).
- Experience designing or improving evaluation methodologies for LLMs or agentic systems.
- Experience with agentic AI systems (reasoning, planning, tool-use).
- Outstanding written and verbal communication skills in English.
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, RLHF, DPO, and GRPO-style methods.
- Develop multimodal representation learning approaches, including joint embedding spaces across text, audio, logs, and structured interaction traces.
- Improve speech and audio intelligence capabilities, including STT, ASR, and audio-driven learning signals.
- Research methods for enhancing agent reasoning, planning, tool use, and adaptation in real-world environments.
- Define how complex behavioral and interaction signals can be translated into effective training objectives for large-scale models.
- Build and refine evaluation methodologies for agent performance in real-world, domain-specific scenarios.
- Collaborate with engineering and product teams to bring research ideas into production systems.
- Identify patterns in real-world workflows and convert them into generalizable modeling and representation strategies.
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