Senior Machine Learning Scientist

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 Senior 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.

Key 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 machine learning engineers 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 conversational AI.
• 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 do we measure success in this role?

• 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.

About Zendesk

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 operations  in  the  United  States,  Europe,  Asia,  Australia,  and  South  America.

Interested in knowing what we do in the community? Check out the Zendesk Neighbor Foundation to learn more about how we engage with, and provide support to, our local communities.  

Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.

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