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Member of Technical Staff, Multimodal Post-train/RL

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

About the role

The Omni team at Hark builds real-time multimodal intelligence (text, audio, vision) and drives development of multimodal models across data, modeling, training, serving, and product integration, including pretraining and posttraining efforts.

Responsibilities

  • Design and implement efficient RL algorithms and training strategies to achieve state-of-the-art performance in multimodal foundation models, PPO/GRPO/RLHF
  • Drive research and development agendas to advance real-time multimodal intelligence, including audio, video modeling capabilities
  • Improve data quality for large-scale post training by developing data filtering, curation, and synthetic data generation techniques
  • Build evaluation frameworks and internal benchmarks to measure model capability, reliability, and user experience across modalities
  • Collaborate closely with product and engineering teams to translate research advances into impactful, real-world AI experiences

Qualifications

  • Proven track record of leading research that significantly improves neural network capability through advances in data, modeling, or training
  • Strong experience in data-driven experimentation, systematic analysis, and iterative model debugging
  • Experience building or working with large-scale distributed machine learning systems
  • Strong ownership mindset and willingness to do whatever is necessary to deliver the best end-to-end AI user experience

Skills

Required:RL algorithmsData-driven experimentationLarge-scale distributed ML systems
Last updated Jul 16, 2026. Interested? Apply on the company site.
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About Hark

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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