Join the Agents team to develop advanced agentic language models capable of complex reasoning and tool use. Responsibilities include prototyping algorithms, scaling systems, and building high-quality training datasets and evaluations. Requires a degree in CS or ML and at least 2 years of experience in LLM training, RL, or distributed systems.
Key Highlights
Focus on training agentic models for computer-based task completion
Work across the research-engineering spectrum from algorithms to large-scale systems
Contribute to state-of-the-art foundation models and open-source software
Key Responsibilities
Propose, prototype, and scale algorithms and systems to support agentic learning
Develop new paradigms for agentic behavior that go beyond current practices
Contribute to technical reports, research publications, and open-source software
Collaborate with other teams to produce state-of-the-art foundation models
Technical Skills Required
Python
PyTorch
Reinforcement Learning
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Benefits & Perks
Comprehensive medical, dental, and vision benefits
Bonus
401K Plan
Generous paid time off, sick leave and holidays
Paid Parental Leave
Employee Assistance Program
Life insurance and disability
Visa sponsorship
Nice to Have
Expertise in PyTorch, Ray, Triton, or CUDA C++
Strong knowledge of literature on RL, LLM reasoning, and tool use
Experience in training or using LLM agents for SWE tasks
Deep understanding of reinforcement learning principles
Experience implementing distributed learning algorithms
Contributions to published research and/or open-source ML software
Job Description
We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.Position Summary
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