Pluralis Research

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🔥 Research Scientist
Posted 12 days ago

📍 USA, Australia

🧭 Full-Time

🔍 AI

  • PhD in Machine Learning, Maths or Physics with publications in top-tier conferences (NeurIPS, ICML, ICLR).
  • Exposure to distributed training, or federated learning.
  • Strong programming abilities in PyTorch, with experience training models across multiple devices.
Publish in Tier-1 Venues: Solve these problems, and publish.

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Posted 12 days ago
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🔥 Protocol Lead
Posted 12 days ago

📍 USA, Australia

🧭 Full-Time

🔍 AI, Blockchain

  • Previous experience architecting or contributing to a major blockchain or Layer-2 protocol, or leading critical components of a decentralised project.
  • Hands-on knowledge of P2P networking, cryptography, distributed data pipelines and training regimes.
  • Proven ability to lead technical teams, set direction, and deliver results under startup-paced conditions.
  • Own the systems side end-to-end design of Pluralis’s Protocol Learning paradigm, from work verification to tokenomics and network incentives.
  • Lead a team of distributed systems engineers, guiding architecture decisions and best practices for high-performance, secure, and scalable solutions.
  • Translate cutting-edge research into production. Evaluate and initialise partnerships, develop novel primitives (for example; verification via exploiting byzantine robust optimisers the AI team may develop for training) and scaling approaches that make the Pluralis protocol the default destination for open training.
  • Collaborate with open-source communities, partner projects, and external stakeholders.
  • Drive protocol governance discussions, propose and implement protocol upgrades, and foster a developer ecosystem around Pluralis.
  • Attract, hire, and mentor top crypto-native engineering talent. Build and nurture a team capable of delivering resilient, decentralised infrastructure at scale.
  • Work closely with the founder, advisor and investors to align protocol development with overall business strategy and product goals.

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Posted 12 days ago
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📍 USA, Australia

🧭 Full-Time

🔍 AI

  • Master's degree in Computer Science or related field, or equivalent experience.
  • Strong understanding of model parallelism techniques, distributed training architectures, and optimization methods.
  • Expert-level skills in PyTorch or similar frameworks, with experience scaling models across multiple devices.
  • Familiarity with networking concepts, distributed computing principles, and performance optimization.
  • Build and optimize systems for training large models across heterogeneous hardware connected by low-bandwidth networks.
  • Implement techniques to reduce communication overhead while maintaining model convergence in challenging network environments.
  • Design and develop robust training pipelines that can recover from node failures and network disruptions.
  • Create efficient systems for deploying sharded models in a protocol-locked environment.
  • Develop tools to track training progress, evaluate model quality, and identify bottlenecks in distributed environments.

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🔥 Head of Design
Posted 13 days ago

📍 USA, Australia

🧭 Full-Time

🔍 AI Development

  • Demonstrated excellence across digital product design, brand identity, and visual communication.
  • Ability to grasp complex technical concepts and translate them into intuitive visual systems.
  • Design approach informed by business goals and user needs rather than just aesthetics.
  • Meticulous attention to detail with the ability to deliver polished work across various mediums.
  • Experience working directly with founders/executives and technical teams.
  • Create and evolve a cohesive visual identity that reflects our technical expertise and revolutionary vision.
  • Design elegant interfaces for complex systems, making distributed AI training accessible to a wider audience.
  • Develop compelling visual materials for investor presentations, website, documentation, and social media.
  • Contribute to physical space design, event experiences, and tangible brand elements.
  • Build scalable design systems that maintain consistency across all touchpoints.

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Posted 13 days ago
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📍 USA, Australia

🧭 Full-Time

🔍 AI, Decentralised Systems

  • Deep experience building and operating high-throughput, fault-tolerant systems at scale.
  • Solid understanding of peer-to-peer topologies, routing, and messaging frameworks.
  • Comfortable with the full software lifecycle—architecture, coding, testing, deployment, and maintenance.
  • Optimise P2P connections, minimise latency, and ensure that data flows efficiently under real-world bandwidth constraints.
  • Design for fault tolerance in a multi-participant training environment.
  • Work closely with the AI team to merge cutting-edge research with large-scale distributed systems.
  • Implement best practices for encryption, authentication, and node identity.
  • Profile system bottlenecks, propose and implement performance optimisations, and keep our technology stack ahead of emerging standards in decentralised computing.

DockerPythonSoftware DevelopmentBlockchainKubernetesMachine LearningPyTorchAlgorithmsAPI testingData StructuresGogRPCREST APIRustTensorflowWeb3.jsCI/CDMicroservices

Posted 13 days ago
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