Our team has an immediate 12-month contract opening for a Researcher.
Responsibilities :
- Carry out research on next-generation emerging technologies related to AI and computing, survey the latest trends on a regular basis, and understand the technology evolution roadmap
- Propose innovative architectures and algorithms to optimize distributed computing, considering scalability and efficiency.
- Model AI performance across various parallelization techniques and network topologies, with a strong focus on different architectures, including Transformers, State Space Models (SSMs), and Retrieval Augmented Generation (RAG).
- Conduct cutting-edge research on reinforcement learning, particularly its applications in multi-agent systems and distributed AI models.
- Evaluate and enhance AI performance under different parallelization strategies and network topologies.
- Explore and innovate at the intersection of AI algorithms and hardware, focusing on hardware-aware model optimization and efficient computation.
- Study the industry’s competitive landscape to learn the latest technical trends and to create insight.
- Proactively work to achieve challenging goals and create IP by innovative designs and architectures
Produce detailed documentation, technical reviews
What you'll bring to the team :
- PhD in Electrical Engineering, Computer Science or relevant discipline with at least 2 years of relevant experience.
- Deep knowledge of large generative and foundational AI models.
- Advanced knowledge of distributed computing and associated techniques including model, data, and pipeline parallelization.
- Strong understanding of the theory of deep neural networks (DNN), including their dynamics, stability, and learning algorithms.
- Proficiency in designing and implementing algorithms related to Transformers, State Space Models (SSMs), and Neural ODEs.
- Excellent programming skills (Python / C).
- Motivated self-starter with excellent communication skills in written and spoken English.
- Good teamwork spirit and adaptability.
- Thrive in a dynamic, innovative, and research-oriented environment focused on prototyping.
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