PolyAI
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The Research Engineer will optimize data pipelines for training machine learning models, focusing on Automatic Speech Recognition, Large Language Models, and Text-to-Speech technologies. Responsibilities include developing evaluation tools, managing machine learning datasets, and collaborating with teams to align research with production objectives.
The Software Engineer will develop user-friendly voice automation solutions for clients using a no-code platform, lead third-party tool integrations such as Salesforce and Zendesk, serve as a key contact for enterprise solutions, and collaborate with a diverse engineering team to enhance system functionality.
The Product Marketing Manager at PolyAI will lead the development of strategic messaging and value propositions for AI voice assistants, collaborating with product and sales teams. Responsibilities include market research, sales enablement content creation, product messaging development, and supporting product launches to drive sales and revenue growth.
The Software Engineer will develop and maintain voice-assistant technologies, enhance real-time communication platforms, and implement multi-tenant infrastructure. Responsibilities include building internal tools for data annotation, coding new features, and collaborating with the engineering team on various projects.
As an Engineering Manager at PolyAI, you will lead and develop a top-performing engineering team focused on creating voice AI solutions. You will oversee project management, ensure engineering excellence, and mentor team members while collaborating with various stakeholders to deliver robust customer service systems.
As a Dialogue Designer, you will design user experiences for virtual assistants, utilizing Python and analytical metrics. You will focus on enhancing customer interactions and ensuring effective implementation of Generative AI, while maintaining a detail-oriented approach to user experience and stakeholder communication.
As a Backend Software Engineer at PolyAI, you'll develop a no-code platform for non-technical users, contribute to multi-tenant infrastructure, write and review code, and enhance platform analytics with a focus on collaboration within an engineering team.
As a Conversation Designer, you will design virtual assistant interactions, using Python and internal tools. You’ll assess performance metrics to enhance customer experiences, evaluate how users engage with designs, and collaborate with engineering on Generative AI implementations.