Senior Machine Learning Scientist
Job Description The Agentic Tribe is revolutionizing the chatbot and voice assistance landscape with Gen3, a cutting-edge AI Agent system that's pushing the boundaries of conversational AI. Gen3 is not your typical chatbot; it's a goal-oriented, dynamic, and truly conversational system capable of reasoning, planning, and adapting to user needs in real-time. By leveraging a multi-agent architecture and advanced language models, Gen3 delivers personalized and engaging user experiences, moving beyond scripted interactions to handle complex tasks and "off-script" inquiries with ease. 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.
- 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.
- How well your work aligns with the overall product roadmap and strategic goals.
- Effectiveness in collaborating with product managers, engineers, designers, and other stakeholders
- Discovery and Ideation - ability to identify new opportunities within the product area, as well as their ability to prioritize and champion these ideas.
- Initial Call with Talent Team - 15 mins
- Interview with one member of the Hiring Team - 45 minutes
- Take-home technical/research challenge
- A technical interview with two of our scientists to talk more in-depth about your technical experience and answer any questions you might have - 1 hour
- Final interview with 2 of the following: CTO or Engineering Manager/Director - 45 minutes