Simplify Logo

Full-Time

Research Scientist

Modelling and Data, Must be in UK

Confirmed live in the last 24 hours

PolyAI

PolyAI

51-200 employees

Develops customized voice assistants for businesses

AI & Machine Learning
Enterprise Software

Mid

London, UK

Must be in UK.

Category
Speech Recognition
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
Microsoft Azure
Python
Pytorch
AWS
Google Cloud Platform
Requirements
  • A degree in Computer Science, Machine Learning, or a related field, or equivalent industry experience
  • 3+ years of experience working with deep learning and statistical models
  • Strong knowledge of data quality standards and annotation processes, with the ability to independently evaluate and improve models
  • Proficiency in Python and familiarity with relevant ML frameworks and libraries (e.g., PyTorch)
  • Experience with cloud services such as AWS, GCP, or Azure
  • Excellent verbal and written communication skills, with the ability to convey complex technical concepts to diverse audiences
  • A passion for solving technical challenges and driving practical solutions
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

PolyAI creates customized voice assistants for businesses, particularly in the customer service sector and call centers. Their multilingual voice assistants help manage customer inquiries, reducing hold times and improving satisfaction while generating revenue for businesses. With a quick deployment time of six weeks or less, PolyAI integrates its technology seamlessly into existing systems and continuously updates it for better performance. The company has achieved notable success in the hotel industry, demonstrating high customer satisfaction and significant revenue generation.

Company Stage

Series C

Total Funding

$120.9M

Headquarters

London, United Kingdom

Founded

2017

Growth & Insights
Headcount

6 month growth

↑ 4%

1 year growth

↑ 8%

2 year growth

↑ 41%
Simplify Jobs

Simplify's Take

What believers are saying

  • PolyAI's recent $50 million Series C funding round, backed by prominent investors like Hedosophia and Nvidia, positions the company for accelerated growth and innovation.
  • The company's success in the hotel industry, achieving an 85% customer satisfaction score and generating $7.2 million in revenue, demonstrates its potential for high impact in other sectors.
  • PolyAI's continuous improvement and seamless integration into existing tech stacks ensure that businesses can maintain high performance and customer satisfaction over time.

What critics are saying

  • The phenomenon of AI 'hallucinations' could lead to unreliable outputs, potentially damaging customer trust and satisfaction.
  • The competitive landscape in AI-powered customer service is fierce, with major players like Apple and Teneo.ai developing advanced voice assistant technologies.

What makes PolyAI unique

  • PolyAI's voice assistants are multilingual, supporting 10 different languages, which is a significant advantage in serving a diverse customer base.
  • The company promises quick deployment times of six weeks or less without the need for risky replatforming, setting it apart from competitors with longer integration periods.
  • PolyAI's focus on transforming call centers from cost centers to revenue generators through advanced AI capabilities is a unique value proposition.