Auf einen Blick
- Aufgaben: Lead innovative AI projects, from research to implementation, shaping the future of customer experience.
- Arbeitgeber: Join Zendesk, a leader in customer service software, now supercharged by Ultimate's cutting-edge AI technology.
- Mitarbeitervorteile: Enjoy flexible remote work options and a collaborative hybrid work environment with a focus on inclusivity.
- Warum dieser Job: Be at the forefront of AI research, making real-world impacts while working with a talented team.
- Gewünschte Qualifikationen: Degree in relevant fields and proven ML or NLP experience; conversational AI experience is a plus.
- Andere Informationen: Visa sponsorship available; join a diverse and inclusive workplace committed to your growth.
Das voraussichtliche Gehalt liegt zwischen 54000 - 84000 € pro Jahr.
Job Description
Please note, we can sponsor visas for this position, but do not have additional relocation budget. This role can be based anywhere within Germany.
Ultimate were acquired by Zendesk in March 2024, we’ve become even more powerful. Together with Zendesk we’re joining forces to build the world’s most advanced AI agents in CX.
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 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.
The intelligent heart of customer experience
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees 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, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer.
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to with your specific accommodation request.
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Senior Machine Learning Scientist (AI Researcher) Arbeitgeber: Zendesk

Kontaktperson:
Zendesk HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior Machine Learning Scientist (AI Researcher)
✨Tip Number 1
Make sure to stay updated on the latest advancements in NLP and machine learning. Follow relevant research papers, attend conferences, and engage with the community to showcase your knowledge during interviews.
✨Tip Number 2
Highlight any experience you have with conversational AI in your discussions. This is a huge bonus for this role, so be prepared to share specific examples of projects or research you've done in this area.
✨Tip Number 3
Demonstrate your ability to collaborate effectively with cross-functional teams. Prepare to discuss how you've worked with product managers, engineers, and designers in past roles to bring innovative ideas to life.
✨Tip Number 4
Be ready to talk about your approach to turning research literature into practical solutions. Share examples of how you've implemented ideas from research into proof-of-concept models that address real business problems.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Machine Learning Scientist (AI Researcher)
Tipps für deine Bewerbung 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and NLP. Focus on projects where you've implemented deep learning architectures or worked with conversational AI, as these are key aspects of the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your background aligns with Zendesk's mission. Mention specific projects or research that demonstrate your ability to bridge ML research with real-world applications.
Showcase Collaboration Skills: Emphasize your experience working in cross-functional teams. Provide examples of how you've collaborated with product managers, engineers, and other stakeholders to drive projects forward.
Highlight Continuous Learning: Mention any recent courses, workshops, or conferences you've attended related to NLP and machine learning. This shows your commitment to staying updated in a rapidly evolving field, which is crucial for this position.
Wie du dich auf ein Vorstellungsgespräch bei Zendesk vorbereitest
✨Showcase Your Research Experience
Be prepared to discuss your previous machine learning or NLP research projects in detail. Highlight how your work has led to real-world applications and the impact it had on business problems.
✨Demonstrate Technical Proficiency
Familiarize yourself with deep learning architectures, especially those related to NLP. Be ready to explain your approach to implementing ideas from research literature into proof-of-concept models.
✨Emphasize Collaboration Skills
Since this role involves working closely with product managers and engineers, be sure to share examples of how you've successfully collaborated with cross-functional teams in the past.
✨Stay Updated on Industry Trends
Keep abreast of the latest developments in NLP and machine learning. Discuss recent papers or technologies that excite you and how they could potentially be applied to enhance the company's products.