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PolyAI

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About

PolyAI offers a conversational AI platform for transforming call centers. It uses lifelike AI agents to resolve customer inquiries, offering 24/7 multilingual support and seamless integration with existing systems. PolyAI is used across various industries including financial services, healthcare, retail, and travel, aiming to improve customer experience, reduce agent turnover, and generate revenue through natural, AI-driven conversations.

Platform
Web
Keywords
voice aiai agentscustomer servicecall centerconversational platform
Task
customer support

Features

24/7 support

actionable insights from real conversations

scalable capacity

compliance certification

dynamic ai agents

engaging ai agents

adaptable ai agents

lifelike ai agents

Pricing Plans

Ongoing Use
Unknown Price

Support system with web ticket portal

24/7/365 emergency support phone line

Highest standards of data security

24/7 data infrastructure

Compliance certificates

Regular audits and testing

99.9% SLA for uptime

Monitoring and improving performance

Upgrades to system features

Latest technology for best-in-class performance

Job Opportunities

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PolyAI

Research Scientist - Large Language Model Post-Training (Must be in UK)

PolyAI offers a conversational AI platform that transforms call centers into revenue generators with lifelike, multilingual AI agents for customer service and support.

sciencehybridLondon, GBfull-time

Benefits:

  • Participation in the company’s employee share options plan

  • 25 days holiday, plus bank holidays

  • Flexible working from home policy plus a one-off WFH allowance when you join

  • Work from outside of the UK for up to 6 months each year

  • Enhanced parental leave 🚲 Bike2Work scheme 📚 Annual learning and development allowance [👨‍👩‍👧](https://emojipedia.org/family-man-woman-girl/) Company-funded fertility and family-forming programmes [🌸](https://emojipedia.org/cherry-blossom/) Menopause care programme with Maven 🏥 Private healthcare and dental cover, discounts on gym members and relaxation apps, and access to a range of mental health programs

Education Requirements:

  • A degree in Computer Science, Machine Learning, or a related field, or equivalent industry experience

Experience Requirements:

  • 3+ years of experience working with deep learning and statistical models

Responsibilities:

  • Train models and conduct experiments to assess model performance in live deployments

  • Work on experimental model architectures, exploring multimodal, efficient long-context etc.

  • Develop post-training strategies to achieve state of the art performance on domain-specific tasks

  • Generate, collect, and annotate contact center data from sources such as real customer calls, chats, online open datasets, and synthetic data

  • Develop robust evaluation benchmarks to track improvements in production models Collaborate with the legal and compliance team to address any compliance or data privacy-related issues Work closely with product and engineering teams to ensure alignment with business and production goals Stay informed about the latest advancements in machine learning, ASR, TTS, and LLM to continuously enhance our technologies

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