Description:
We are delighted to be hiring a Staff Machine Learning Scientist for the AI Agent product at Zendesk. You will own a designated product area and revolutionize how our customers experience our products. This is an exciting opportunity to bridge the gap between cutting-edge ML research and real-world impact. You'll have the freedom to shape the product roadmap, discover innovative ML applications, and collaborate with a talented cross-functional team.
What You Will Do (Responsibilities)
- You'll be part of a team responsible for designing and testing novel AI solutions for real business problems
- You'll own the full research projects end-to-end from understanding business requirements to design, implementation, experimentation and reporting
- You'll discuss your and others ideas in the research team regularly and provide peer review for your colleagues work
- You'll keep up with the NLP and ML fields and literature and introduce new concepts discovered as potential solutions to our business problems
- You'll work closely with AIengineers helping them implement your designs into our production system
- You'll use suitable tools and technologies for rapid implementation and quickly testing your hypotheses while keeping in mind the requirements of future production implementation
- You’ll collaborate with Product managers and other non technical stakeholders to discover product roadmap.
Who You Are
- Degree in Computer Science, Machine Learning, Statistics, Engineering, Mathematics, etc.
- Proven record of Machine Learning or NLP research, ideally in industry.
- Knowledge of building deep learning neural network architectures, ideally with focus on NLP.
- Ability to implement ideas from research literature into proof-of-concept models.
- Practical approach for researching machine learning solutions to business problems.
- Huge bonus if you have experience with LLMs, Prompt Engineering and AI Agent Context Management.
- Ideally have experience with conversational AI and voice technologies, including text-to-speech (TTS) and speech-to-speech (STS).
- A positive, pro-active team player who is passionate about their craft, is keen to take part in product discussions and cares about helping the team deliver.
- Great communication skill and fluency in English.