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PolyAI automates customer service through lifelike voice assistants that let customers lead a conversation. Our voice assistants make it possible for businesses to deliver outstanding customer service that rivals their human agents. Our customers, which include the world’s leading logos, are expanding how they use our platform, driving automation of critical customer service operations and integrating PolyAI into their daily customer service workflows. We are looking for a Senior Research Scientist to join our world-class team and lead cutting-edge work on large language model (LLM) post-training. This is not just about applying standard fine-tuning techniques - it's about building the future of dialogue systems with novel approaches to reasoning, reinforcement learning, audio-first LLMs, and more. As a Senior Research Scientist at PolyAI, you’ll lead impactful research projects from ideation through to deployment. You’ll be driving innovation in how we train and adapt LLMs for real-world conversations - spanning voice, text, and multimodal contexts. You'll work on frontier techniques such as: Conversational reinforcement learning; Streaming and continuous turn-taking; Audio-native LLMs; Distillation of reasoning models; Long-context; Efficient adaptation. You’ll also play a key role in shaping the scientific direction of our research, mentoring junior colleagues, and collaborating cross-functionally to bring research into production.
Job Responsibility:
Lead and execute complex research projects with clear business impact
Design and implement novel post-training strategies including preference tuning, reward modeling, and synthetic supervision
Develop innovative model architectures and training approaches for conversational AI, including speech-aware and multimodal models
Conduct empirical studies to assess model performance in live deployments and iterate quickly based on real-world data
Generate, collect, and annotate training data - including synthetic and real-world conversational datasets - with an eye for quality and bias mitigation
Design robust evaluation metrics and benchmarks for LLM-based assistants in customer service domains
Work closely with engineering and product teams to integrate research into production environments
Collaborate with legal and compliance teams to ensure responsible use of data and models
Stay current with academic and industry advances in LLMs, ASR, TTS, RLHF, and multimodal learning
Requirements:
PhD in Machine Learning, Natural Language Processing, Computer Science, or a related field
5+ years of hands-on experience in deep learning
Proven track record of research innovation, including published work or deployed systems
Strong programming skills in Python and deep learning frameworks like PyTorch
Demonstrated expertise in at least one domain area such as reinforcement learning, conversational AI, audio modelling, or LLM alignment
Experience leading projects end-to-end, from ideation to deployment
Excellent communication skills with the ability to write clear technical documents and explain complex concepts to diverse audiences
Comfortable working in ambiguity and driving clarity through experimentation and data
Nice to have:
Experience with speech technologies such as ASR and TTS
Familiarity with cloud environments (AWS, GCP, Azure)
Exposure to RLHF, reward modelling, or human preference data collection
Prior work on real-time systems, streaming inference, or memory-efficient model deployment
What we offer:
Participation in the company’s employee share options plan
Tenure-Based PTO: You will receive 25 holidays when you join and will gain an additional 1 day after 2 years of service, then 1 day each year until capped at 32 holidays
Flexible working from home policy
Work from outside of the UK for up to 6 months each year
TELUS Health EAP 24/7 - offers you and your chosen family confidential, judgment-free support for any work, health, or life challenge
Enhanced parental leave
Bike2Work scheme
Annual learning and development allowance
We’re all about making WFH work for you - that’s why we offer a one-off WFH allowance when you join. Offering perks like noise-cancelling headphones or a comfortable desk chair to boost your comfort and focus!
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
Sabbatical Program: 5-week paid sabbatical available after 5 years of employment