Real-time Multimodal RL Engineer - Post-Training

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

Job summary

Hark, Inc. in San Jose is seeking a Member of Technical Staff to drive the development of real-time multimodal AI experiences. The role involves designing efficient RL algorithms, collaborating with teams, and pushing the boundaries of model capabilities.

The ideal candidate has a strong track record in improving neural network performance, experience with data-driven experimentation, and a willingness to contribute to cutting-edge AI projects. The position offers a competitive salary and growth-oriented environment.

Qualifications

• Proven track record in improving neural network capabilities.
• Experience in data-driven experimentation and model debugging.
• Experience with large-scale distributed machine learning systems.

Responsibilities

• Design and implement efficient RL algorithms and training strategies.
• Drive research and development for real-time multimodal intelligence.
• Improve data quality through curation and synthetic data generation.
• Build evaluation frameworks for measuring model capability.
• Collaborate with product and engineering teams to deliver AI experiences.

Skills

Data-driven experimentation

Model debugging

Machine learning systems

RL algorithms

Job description

Hark, Inc. in San Jose is seeking a Member of Technical Staff to drive the development of real-time multimodal AI experiences. The role involves designing efficient RL algorithms, collaborating with teams, and pushing the boundaries of model capabilities.

The ideal candidate has a strong track record in improving neural network performance, experience with data-driven experimentation, and a willingness to contribute to cutting-edge AI projects. The position offers a competitive salary and growth-oriented environment.