Interop Labs
AI ML Distributed Systems Engineer
Worldwide
system training software
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Source: Remote | OK
About the job
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.
  • 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.
  • 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.
  • Autonomous, distributed environment with the opportunity to work collaboratively in a diverse team across the world.
  • The scope to contribute to high impact work and really make a difference in a decentralized protocol.
  • The chance to challenge yourself whilst learning heaps of stuff in the process.
  • Unlimited time off throughout the year to rest and recharge.
  • Competitive compensation with stock options, experiencing growth from the initial phase.
How to apply?
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