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  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.

• You will be part of a team responsible for designing and testing novel AI solutions for real business problems.
• You will own the full research projects end-to-end from understanding business requirements to design, implementation, experimentation and reporting.
• You will discuss your and others ideas in the research team regularly and provide peer review for your colleagues work.
• You will keep up with the NLP and ML fields and literature and introduce new concepts discovered as potential solutions to our business problems.
• You will work closely with AI engineers helping them implement your designs into our production system.
• You will 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 the ability to prioritize and champion these ideas.

We are excited to learn more about you, so we want to be transparent about what you can expect from our interview process:

1. Initial Call with Talent Team – 15 minutes

2. Interview with one member of the Hiring Team – 45 minutes

3. Take‑home technical/research challenge

4. 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

5. Final interview with 2 of the following: CTO or Engineering Manager/Director – 45 minutes

Zendesk builds software for better customer relationships. It empowers organizations to improve customer engagement and better understand their customers. Zendesk products are easy to use and implement. They give organizations the flexibility to move quickly, focus on innovation, and scale with their growth.

More than 100,000 paid customer accounts in over 150 countries and territories use Zendesk products. Based in San Francisco, Zendesk has…