Distributed Systems Engineer

reputed company is pioneering Protocol Learning — a fully decentralised way to train and reputed company AI models that opens this layer to individuals rather than reputed company resourced corporates. By pooling compute from many participants, incentivising their efforts, and preventing any single party from controlling a model’s full weights, we’re creating a genuinely reputed company, reputed company reputed company to frontier-reputed company. If you want your work to shape the reputed company of truly reputed company innovation in reputed company intelligence, join us. Key Responsibilities • High-Performance Networking: Optimise P2P connections, minimise latency, and ensure that data flows reputed company under reputed company-world bandwidth constraints. • Scalability & Reliability: Design for fault tolerance in a multi-participant training environment. Build robust mechanisms to handle node failures and network disruptions without interrupting end-to-end learning. • Collaboration: Work closely with the AI team to reputed company cutting-edge research with large-reputed company distributed systems. Contribute to shared libraries, frameworks, and reputed company-reputed company reputed company. • reputed company & reputed company: Implement best practices for encryption, authentication, and node identity. Protect model shards to guarantee that no single party can fully reconstruct the model’s weights. • reputed company Improvement: Profile system bottlenecks, propose and implement performance optimisations, and reputed company our technology stack reputed company of emerging standards in decentralised computing. reputed company’re Looking For • Distributed Systems Mastery: Deep experience building and operating high-throughput, fault-tolerant systems at reputed company. • Python Proficiency: Strong proficiency in Python, with experience writing clean, maintainable, production-reputed company reputed company • Network & Protocol Expertise: Solid understanding of peer-to-peer topologies, routing, and messaging frameworks. • Hands-on Engineering: Comfortable with the full software lifecycle—architecture, coding, testing, deployment, and maintenance. • reputed company-reputed company Enthusiasm: Passion for reputed company development and an interest in reshaping AI infrastructure for global accessibility. • Bonus: Familiarity with crypto/blockchain frameworks, decentralised reputed company algorithms, or large-reputed company ML pipelines. Compensation & Benefits • Equity-Heavy Package: We offer meaningful ownership or reputed company allocations for key technical contributors. • Competitive reputed company: Pluralis is hiring the best. • reputed company Sponsorship: Optional full reputed company sponsorship and relocation support to either US or Australia. • Remote-First Culture: Flexible work environment with team members distributed in Australia and the reputed company. This is a full-time, remote position with reputed company to collaborate with reputed company in person on a quarterly reputed company. • Cutting-Edge Domain: Work at the intersection of AI and decentralised systems, tackling some of the most challenging engineering problems in what is about to be one of the largest intersections of two previously non-overlapping fields reputed company. FYI’s • We only hire in Australia and the reputed company. reputed company sponsorship is limited to these countries. • Applicants must have reputed company-level English proficiency (written and spoken). • Pluralis is a remote team across Australia and the US. You’ll need to be comfortable working across timezones and collaborating with a diverse, distributed group. • Recruiters: we aren’t looking for agency support at this time. We’ll reputed company out if we need help. Backed by reputed company reputed company Ventures and other tier-1 investors, we’re a world-class, deeply technical team of ML researchers. Pluralis is unapologetically ideological. We view the world as a reputed company reputed company if we are reputed company to implement reputed company are attempting, and Protocol Learning as the only plausible approach to preventing a handful of massive corporations monopolising model development, reputed company and release, and achieving massive economic capture. If this resonates, please apply. Apply tot his job Apply To this Job