About PolyAI:
PolyAI is a leader in automating customer service through innovative voice technology. Our voice assistants empower businesses to deliver exceptional customer service at every interaction. We are seeking a dedicated and innovative Research Engineer to join our team and enhance our machine learning models.
Job Description:
As a Research Engineer at PolyAI, you will play a crucial role in setting up and optimizing the data pipeline for training and evaluating our models. You will also focus on optimizing our training infrastructure and preparing trained models for production. Your work will primarily involve Automatic Speech Recognition (ASR), Large Language Models (LLM), and Text-to-Speech (TTS) technologies.
Requirements
- Develop libraries and tools to assist with research projects, such as evaluation suites, optimized LLM inference, synthetic data pipelines etc.
- Manage and maintain machine learning datasets and associated tooling, ensuring it provides the necessary data for model training and continuous improvement.
- Assist in the creation of synthetic data, customer data annotation, ensuring rigorous data quality control.
- Optimize GPU utilization and maintain an efficient platform for ML training and inference in production.
- Assist in productization of research projects
- Work closely with product and engineering teams to ensure alignment with business and production objectives.
- Collaborate with the legal and compliance teams to address compliance and data privacy concerns.
- Stay current with the latest advancements in machine learning, ASR, TTS, and LLM to continuously enhance our technologies.
Requirements:
- A degree in Computer Science or a related field, or equivalent industry experience.
- Hands-on experience in tuning machine learning models and building evaluation frameworks.
- Strong understanding of data quality standards and annotation processes.
- 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 a diverse audience.
- A passion for tackling technical challenges and driving practical solutions.
Preferred Qualifications:
- Expertise in the latest transformer modifications for efficiency.
- Experience in optimizing GPU training and utilization.
- Familiarity with distributed model training systems.
- Experience with large-scale data pipelines or production ML systems.
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.
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.
:quality(80))
:quality(80))
:quality(80))