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AI/ML Distributed Systems Engineer
2 months ago
We are seeking a highly skilled Distributed Systems Engineer with expertise in AI and blockchain technology to join our team at Interop Labs. This position is critical to our novel project that combines AI and blockchain expertise to create innovative solutions.
Key Responsibilities:
- Design and Build Efficient Compute Environments: Develop and implement large-scale AI systems for training and inference within the intersection of blockchain and AI.
- Build and Extend AI Compute Engines: Craft cutting-edge AI compute engines to achieve optimal performance for specific workload footprints.
- Evaluate Models and Workloads: Assess and optimize AI models and workloads on various hardware and software stacks.
- Collaborate with Cross-Functional Teams: Work with our diverse team to design, implement, and optimize AI engines.
Requirements:
- Education: BSc, MSc, or Ph.D. in Distributed Systems and AI.
- Programming Skills: Expertise in Python, Rust, and/or Go programming languages.
- AI System Expertise: In-depth knowledge of building and leveraging large-scale AI systems for training and inference.
- Performance Optimization: Understanding of performance and system bottlenecks in AI applications.
- Workload Optimization: Knowledge of the performance characteristics of AI workloads and optimization strategies.
Why Interop Labs?
- Autonomous Environment: Work in a distributed environment with the opportunity to collaborate with a diverse team across the world.
- High-Impact Work: Contribute to high-impact work and make a difference in a decentralized protocol.
- Personal Growth: Challenge yourself while learning new skills and technologies.
- Competitive Compensation: Enjoy competitive compensation with stock options and opportunities for growth.
About Us:
Interop Labs builds interoperability technology, enabling seamless interactions between blockchains and driving the growth of Web3 and internet technology.