PolyAI is tackling the challenges of automating customer service through voice. Our voice assistants make it possible for businesses to deliver outstanding customer service at every touchpoint, without over-investing. This is voice-enabled, AI-driven customer service that works in the real world, right now.
Our machine learning team is constantly exploring new research avenues, including speech and text processing and generation. Through our research internship program, you will have the opportunity to build and test the latest generative models and validate your ideas with real human interactions. You will work alongside our research or applied teams on real, cutting-edge AI problems, gaining valuable experience in the field.
What you’ll need:
- MS degree in Computer Science or a related technical field involving coding, or equivalent industry experience
- Published research in a Natural Language Processing field
- Experience with one or more programming languages such as Python or Golang
- Experience with Tensorflow, PyTorch, or JAX
- Experience with distributed training systems
We’d love it if you also come with:
- Ph.D. (or in progress) in a STEM field
- 2-3 years of experience with training large language models
- Experience with professional software engineering best practices, such as coding standards, code reviews, source control, build processes, and testing
- Experience with one or more cloud services: AWS, GCP, Azure.
Benefits:
🏝 25 days holiday, plus bank holidays (pro-rated).
🏡 Flexible working from home policy.
🎉 Regular team socials, quarterly company parties, monthly Poly-Talks.
🍎 Healthy snacks and breakfast and a fully stocked fridge with a selection of snacks and drinks.
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.
