Research Scientist - Modelling and Data (Must be in UK)

Data Science Jobs ⫽ Data Scientist

London

Competitive salary

Permanent, Full time

Job description

About PolyAI

PolyAI is a leader in automating customer service through cutting-edge voice technology. Our voice assistants empower businesses to deliver exceptional customer service at every interaction. We are seeking a dedicated and innovative Research Scientist to join our team and elevate our machine learning models to new heights.

Job Details

As a Research Scientist specializing in modelling and data, you will play a key role in shaping and implementing strategies for data generation, collection, and annotation, as well as evaluating and experimenting with various models and novel architectures. Your primary focus will be on Automatic Speech Recognition (ASR), Large Language Models (LLM), and Text to Speech (TTS)

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

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

Preferred Qualifications:

Experience working with LLMs and data preparation pipelines.

Experience with speech models, such as ASR or TTS.

Why Join PolyAI: At PolyAI, we are dedicated to pushing the boundaries of voice technology and machine learning. You will have the opportunity to work with a talented and diverse team, contribute to groundbreaking projects, and make a significant impact on the future of customer service automation. We offer a dynamic and inclusive work environment, competitive compensation, and opportunities for professional growth.

PolyAI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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

📚 Yearly learning budget

🚲 Bike2Work scheme

📚 Annual learning and development allowance

🏡 One-off WFH allowance when you join

👨‍👩‍👧 Company-funded fertility and family-forming programmes

🌸 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

Equal Opportunity Statement:

PolyAI is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

All employment decisions at PolyAI will be based on the business needs without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, neurodiversity status or disability status.

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