Leaders in Conversational Voice AI. We're building generative AI voices for the conversational future.
Text to Speech • Audio • Voiceover • Text to Audio Conversion • AI
June 3
🏢 In-office - San Francisco
Leaders in Conversational Voice AI. We're building generative AI voices for the conversational future.
Text to Speech • Audio • Voiceover • Text to Audio Conversion • AI
• Develop sophisticated prompting strategies to make the best use of 3rd-party LLMs via API • Explore the latest techniques with RAG, Context Expansion, and Function Calling • Create and curate large datasets, both from publicly-available sources and from Play's platform data • Finetune and deploy open source LLMs to adapt them for a specific task or purpose
• A very experienced Python, Nodejs engineer • Experience with creating novel prompting and RAG techniques to improve LLM performance • Someone who has a minimum of 5 years of experience in AI • Experience working with and fine-tuning Large Language Models (LLMs) • Experience building scalable applications with LLMs, using frameworks such as LangChain, LlamaIndex, etc. • Experienced in building data infrastructure that is both scalable and extensible • Self-directed and comfortable working autonomously
• A pivotal role in a rapidly growing startup at the forefront of conversational AI technology • The opportunity to solve challenging problems and innovate in uncharted territories • A culture that values technical excellence, continuous learning, and collaboration • Competitive compensation, including equity, reflecting your experience and contribution to the success of the company • Flexible working hours • Comprehensive benefits package, including health, dental, and vision insurance; commuter benefits; flexible PTO; and holidays
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