Machine Learning Engineer

Posted 12 days agoViewed

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💎 Seniority level: Middle, Several years

📍 Location: USA, Australia

🔍 Industry: AI

🏢 Company: Pluralis Research

🗣️ Languages: English

⏳ Experience: Several years

🪄 Skills: PythonMachine LearningPyTorchAlgorithmsData StructuresNetworking

Requirements:

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.

Responsibilities:

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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