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
Task
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
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.
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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