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Jobs at Pluralis Research

10 open roles read nightly from companies’ own hiring pages. Each one links to the original ad.

1–10 of 10 jobs

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  • Pluralis Research · San Francisco, California, United States +1

    RemoteFull-timeScience & research

    Distributed pretraining: Implement and optimize model-parallel training. Data, pipeline, and tensor parallelism for large models on heterogeneous GPUs under low-bandwidth, high-latency links.; Performance optimization: Implement techniques that reduce communication overhead…

  • Pluralis Research · San Francisco, California, United States +1

    RemoteFull-timeScience & research

    Own the threat model: You enumerate what a malicious or careless worker can do across pre-training, post-training, and inference — training disruption and denial-of-service, free-riding, model poisoning and backdoors, data extraction from gradients and activations, reputation…

  • Pluralis Research · San Francisco, California, United States +1

    RemoteFull-timeScience & research

    Own the inference stack: You build and own it end-to-end. Pipeline-parallel execution, placement and routing, the transport, the serving engine, and failure handling. You set the direction, and you make things happen.; Invent the algorithms: Making inference fast on consumer…

  • Pluralis Research · San Francisco, California, United States +1

    RemoteFull-timeScience & research

    Build the post-training stack: You build the RL training loop end-to-end: rollout ingestion from the geo-distributed inference pipeline, reward computation, policy updates, and getting updated weights back out to the network. You set the direction, and you make things happen.;…

  • Pluralis Research · San Francisco, California, United States +1

    RemoteFull-timeData & AI

    Multi-cloud infrastructure: Design the resource management systems that provision and orchestrate compute across AWS, GCP, and Azure with infrastructure-as-code (Pulumi/Terraform). Handle dynamic scaling, state synchronization, and concurrent operations across hundreds of…

  • Pluralis Research · San Francisco, California, United States +1

    RemoteFull-timeEngineering

    Own the threat model: You enumerate what a malicious or careless worker can do across pre-training, post-training, and inference — training disruption and denial-of-service, free-riding, model poisoning and backdoors, data extraction from gradients and activations, reputation…

  • Pluralis Research · San Francisco, California, United States +1

    RemoteFull-timeEngineering

    Own the inference stack: You build and own it end-to-end. Pipeline-parallel execution, placement and routing, the transport, the serving engine, and failure handling. You set the direction, and you make things happen.; Invent the algorithms: Making inference fast on consumer…

  • Pluralis Research · San Francisco, California, United States +1

    RemoteFull-timeEngineering

    Build the post-training stack: You build the RL training loop end-to-end: rollout ingestion from the geo-distributed inference pipeline, reward computation, policy updates, and getting updated weights back out to the network. You set the direction, and you make things happen.;…

  • Pluralis Research · San Francisco, California, United States +1

    RemoteFull-timeEngineering

    Distributed pretraining: Implement and optimize model-parallel training. Data, pipeline, and tensor parallelism for large models on heterogeneous GPUs under low-bandwidth, high-latency links.; Performance optimization: Implement techniques that reduce communication overhead…

  • Research Scientist

    2 months ago

    Pluralis Research · San Francisco, California, United States +1

    RemoteFull-timeScience & research

    Solve the open problems: Identify the questions that block Protocol Learning at scale. communication efficiency, convergence under churn and staleness, heterogeneity, robustness to malicious participants.; Publish in Tier-1 venues: The problems are hard and largely unclaimed.…

Updated 06 Nov 2026 09:37 UTC from the OptiTalent job library.