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Member of Technical Staff, Pretraining

Hark· AI Foundation Models
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San Jose$180k - $450kfull-timePosted 7mo ago

About the role

Role on the Omni team focused on developing large-scale pretraining systems and foundation models across multiple modalities (text, audio, vision), from data curation and training infrastructure to model architecture and optimization.

Responsibilities

  • Drive research and development in large-scale LLM and multimodal pretraining, focusing on improving model capability through better data, scaling, and architecture.

Qualifications

  • Proven track record of improving large-scale neural network performance through advances in pretraining data, modeling, or training systems.
  • Strong experience with large-scale distributed training (e.g., Megatron, DeepSpeed, or similar frameworks).
  • Deep understanding of LLM or multimodal pretraining, including data pipelines, scaling behavior, and optimization.
  • Experience in data-driven experimentation, systematic analysis, and debugging at scale.
  • Experience building or working with large-scale training infrastructure and high-performance computing systems.
  • Strong ownership mindset and ability to operate in fast-paced, research-driven environments.

Skills

Required:large-scale distributed trainingdata pipelines for pretrainingfoundation models
Nice to have:multimodal pretraining
Last updated Jul 16, 2026. Interested? Apply on the company site.
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building the most advanced personal intelligence in the world.

At Hark, we are building the most advanced personal intelligence in the world.

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