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 aSenior 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 aSenior 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.
Responsibilities:
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.
Preferred Qualifications:
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.
We offer competitive compensation based on experience, expertise, and the level of responsibility. This role also includes equity, giving you the opportunity to share in the long-term success of the business.
The listed expectations reflect what we're hiring for, so we encourage you to review the job description carefully.
Benefits
💰 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
At PolyAI, we take great pride in our values - they guide everything we do. We believe that a strong culture leads to meaningful work and lasting impact.
Our core values are:
Only the best
We expect the best from our people, we hire people that expect the best from themselves, and we nurture this drive for excellence.
Ownership
We care deeply about what we do. We take ownership of our initiatives, decisions and outcomes.
Relentlessly improve
We demand more from ourselves and are always evolving. Continuous, obsessive improvement is the only way we will transform the world of conversational AI.
Bias for action
Our world moves quickly and so do we. We take calculated risks and we deliver impact fast.
Disagree and commit
We are all working toward the same goal. If we donʼt agree with something, we work hard to understand it and when a decision is made, we accept it and give it our all.
Build for people
We want the world to enjoy the experiences they have with us. We are building for a future that prefers automation.
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.
Kindly find the Privacy Notice for our recruitment process by following the link here. This document provides important information regarding how we handle your personal data throughout the recruitment journey.
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