Senior Staff, Multimodal RL & Real-Time AI

Hark; San Jose (CA); On-site; USD 180,000 - 450,000; Full time

Job summary

Hark in San Jose is building the next generation of AI experiences. The Omni team seeks someone to develop real-time audio, video, and multimodal models.

This role involves designing RL algorithms and collaborating with teams to deliver impactful AI experiences. A strong background in data and model capabilities is essential.

The compensation range for this full-time position is $180,000 - $450,000 annually, based on experience and qualifications.

Qualifications

• Proven track record in improving neural network capability.
• Strong experience in data-driven experimentation and model debugging.
• Experience building large-scale distributed machine learning systems.

Responsibilities

• Design and implement RL algorithms for multimodal foundation models.
• Drive agendas for real-time multimodal intelligence research.
• Improve data quality for large-scale post-training efforts.
• Build evaluation frameworks for model capability and user experience.
• Collaborate closely with product and engineering teams.

Skills

Data-driven experimentation

Model debugging

Ownership mindset

Multimodal models experience

Tools

Large-scale distributed machine learning systems

Job description

Hark in San Jose is building the next generation of AI experiences. The Omni team seeks someone to develop real-time audio, video, and multimodal models.

This role involves designing RL algorithms and collaborating with teams to deliver impactful AI experiences. A strong background in data and model capabilities is essential.

The compensation range for this full-time position is $180,000 - $450,000 annually, based on experience and qualifications.