AI/ML Distributed Systems Engineer

Interop Labs • Full-time • Remote (Remote) • 3w ago

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.