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Senior Machine Learning Scientist Job Opening In Berlin – Now Hiring Zendesk


Job description

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 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 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.

  • You have significant experience with LLMs, Prompt Engineering

  • Huge bonus if you have experience with 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 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.


 

The Interview Process:

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 mins

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

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
to learn more about how we engage with, and provide support to, our local communities.  

Required Skill Profession

Mathematical Science Occupations


  • Job Details

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Unlock Your Senior Machine Potential: Insight & Career Growth Guide


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Are You Looking for Senior Machine Learning Scientist Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Zendesk adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Germany laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Berlin. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Interview Tips for Senior Machine Learning Scientist Job Success

Zendesk interview tips for Senior Machine Learning Scientist

Here are some tips to help you prepare for and ace your Senior Machine Learning Scientist job interview:

Before the Interview:

Research: Learn about the Zendesk's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Senior Machine Learning Scientist interview at Zendesk, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Zendesk's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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