Research Engineer Decentralized Training and Inference Verification
Pluralis Research is a research lab developing decentralized AI through Protocol Learning, a communication-efficient approach to collaborative model training. It operates open training systems that allow distributed contributors to provide compute for collectively owned foundation models.
Funding history
About Pluralis Research
Pluralis Research develops Protocol Learning, which enables foundation models to be trained and served across globally distributed participants without requiring a single participant to hold the complete model. Its work covers low-bandwidth model parallelism, asynchronous distributed optimization, fault-tolerant training, privacy-preserving unextractable models, and collective ownership. The organization operates Agora and Node0 training systems, publishes research, provides participation documentation, and releases open-source software for distributed training and reinforcement-learning workflows.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will define threat models for malicious or unreliable workers across training and inference. You will design, calibrate, benchmark, and operate statistical verification methods, control error rates across hardware, and build the verification service used in the inference path.
Requirements
- Experience building or publishing calibrated statistical decision systems with stated error rates
- Deep expertise in statistics and probability
- Ability to design experiments calibrate decision thresholds and defend error rates
- Knowledge of verification approaches for untrusted compute including statistical testing re-execution cryptographic proofs and trusted hardware
- Professional-level written and spoken English proficiency
Responsibilities
- Develop and maintain threat models for malicious and careless workers
- Build statistical verification methods with stated error rates
- Benchmark and calibrate verification tests across heterogeneous hardware
- Control false-positive and false-negative rates
- Build and operate the verification service in the inference path
Benefits
- Equity-heavy compensation package
- Flexible remote-first work environment
- Optional visa sponsorship and relocation support to Australia or the US