Similar Jobs
See allInference Engineer
Undisclosed
US
CUDA
ML Systems Engineer, Inference
Runpod
Global
Python
VLLM
CUDA
Research Engineer, Post-Training
Pluralis Research
Global
Python
PyTorch
Reinforcement Learning
Research Scientist
Pluralis Research
Global
PyTorch
Distributed Training
Python
Verification Engineer
Pluralis Research
Global
Statistics
Machine Learning
Cryptography
Key Responsibilities:
- Own the inference stack end-to-end, from pipeline-parallel execution to routing and failure handling.
- Invent algorithms that make inference fast on consumer hardware over the public internet.
- Serve both RL training rollouts and final models in a permissionless, trustless environment.
What We're Looking For:
- Shipped serving systems or built large-scale inference systems hands-on.
- Research ability evidenced by publications or unpublished work in distributed inference.
- Experience with low-bandwidth, high-latency networking on the public internet.
Compensation & Benefits:
- Equity-heavy package with significant ownership in addition to high base salary.
- Remote-first culture with a globally distributed team.
- Optional full visa sponsorship and relocation support to Australia or the US.
Nice to Have:
- Familiarity with RL post-training and exposure to Apple silicon or MLX.
- Experience with P2P networking, NAT traversal, and open-weight AI labs.
Pluralis Research
Pluralis Research works on Protocol Learning: training and serving large models in a fully decentralized way on small consumer-grade devices connected via the internet. They are a world-class, deeply technical team backed by Union Square Ventures and other tier-1 investors.