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AI/ML Distributed Systems Engineer

Toronto, Ontario, Canada - Remote

Full Time USD 44K - 81K *
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Interop Labs

Axelar network builds blockchain interoperability infrastructure, helping businesses and open-source projects connect blockchains and other systems into seamless Web3 experiences for users and developers. Interop Labs is the initial developer...

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We are actively seeking a talented individual to join our team as an AI distributed systems engineer with a keen interest in blockchain technology. This position is integral to a novel project that synergizes AI and blockchain expertise. The individual will play a pivotal role in crafting large-scale AI systems for training and inference within the dynamic intersection of blockchain and AI.

Requirements

  • BSc, MSc or Ph.D. specializing in distributed systems and AI.
  • Excellence in Python, Rust, and/or Go programming languages.
  • Expertise in building and leveraging large-scale AI systems for training and inference such as Hugging Face, vLLM, CUDA. 
  • In-depth understanding of performance and system bottlenecks in AI applications.
  • Knowledge of the performance characteristics of AI workloads and optimization strategies.

What you will do

  • Design and build efficient compute environments for AI/ML workloads on the intersection of distributed systems/blockchain technologies.  
  • Build and extend AI compute engines to achieve cutting edge performance for specific workload footprints. 
  • Evaluate models and workloads on different hardware and software stacks. 
  • Collaborate with cross-functional teams to design, implement, and optimize the AI engines.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Blockchain CUDA Distributed Systems Machine Learning Python Rust

Regions: Remote/Anywhere North America
Country: Canada
Job stats:  13  2  0
Categories: Deep Learning Jobs Engineering Jobs Machine Learning Jobs

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