Auf einen Blick
- Aufgaben: Join us to develop cutting-edge AI technologies and enhance user experiences with conversational AI.
- Arbeitgeber: Zendesk is revolutionizing customer experience through advanced AI agents and a collaborative work culture.
- Mitarbeitervorteile: Enjoy a hybrid work model, flexible remote options, and a supportive, inclusive environment.
- Warum dieser Job: Shape the future of AI while collaborating with talented teams and making a real-world impact.
- Gewünschte Qualifikationen: Degree in relevant fields and experience with Python, LLM frameworks, and cloud technologies required.
- Andere Informationen: Be part of a diverse team committed to innovation and excellence in AI.
Das voraussichtliche Gehalt liegt zwischen 54000 - 84000 € pro Jahr.
Job Description
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 GenBot group is revolutionizing the generative chatbot and AI assistance landscape with AI Agent Essential, a cutting-edge AI Agent system that\’s pushing the boundaries of conversational AI.
AI Agent Essential is not your typical chatbot; it\’s a dynamic, and truly conversational system capable of reasoning and adapting to user needs in real-time. By leveraging a multi-agent architecture and advanced language models, AI Agents Essential 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 Engineer 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 maintaining and developing our core AI technologies which support millions of monthly conversations, using Python.
- You\’ll work closely with the AI Researchers and turn their prototypes into production-grade AI services and enhance the performance and capabilities of our core LLM products.
- You\’ll own the full development and operations cycle of a product, whilst helping to ensure our systems are running correctly and efficiently.
- You\’ll use industry-proven tools and practices in an Agile setup.
- You\’ll be joining a cross-functional team. Our teams have AI Researchers, Frontend Engineers and Backend Engineers.
Who you are:
- Degree in Computer Science, Machine Learning, Statistics, Engineering, Mathematics, etc.
- Experience in various LLM frameworks (Langchain, LangGraph, Instructor, etc.)
- Experience writing robust Python code and implementing best practices for live production systems.
- A great understanding of microservices architecture and experience in various Python web frameworks such as Tornado, FastAPI, etc.
- Experience in using CI/CD tools, container/orchestration systems (Kubernetes, Docker), observability tools (Grafana/Datadog), NoSQL databases (MongoDB, Elasticsearch, etc.) and cloud technologies (GCP/AWS).
- Huge bonus if you have experience with conversational AI.
- Team player and highly self-motivated, with a strong sense of ownership and accountability.
- Great communication skills 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 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.
- Ability to coach other ML Engineers in your team.
- Technical leadership of the ML initiatives in your team.
Hiring Process:
- Talent Partner Call: 15 mins
- Hiring Manager Interview: 30 mins
- Take Home Technical Challenge
- Technical Interview: 1 hour
- Final Interview: 45 mins
Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration – while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.
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 Engineer Arbeitgeber: Zendesk

Kontaktperson:
Zendesk HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior Machine Learning Engineer
✨Tip Number 1
Familiarize yourself with the specific LLM frameworks mentioned in the job description, like Langchain and LangGraph. Having hands-on experience or projects showcasing your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Highlight any previous experience you have with conversational AI. If you've worked on projects that involved building chatbots or AI assistants, be ready to discuss the challenges you faced and how you overcame them during the interview.
✨Tip Number 3
Prepare to demonstrate your understanding of microservices architecture and Python web frameworks like FastAPI. You might be asked to solve a problem or explain how you would design a system using these technologies during the technical interview.
✨Tip Number 4
Since collaboration is key in this role, think of examples where you've successfully worked in cross-functional teams. Be ready to share how you communicated with product managers and engineers to drive projects forward.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Machine Learning Engineer
Tipps für deine Bewerbung 🫡
Tailor Your Resume: Make sure your resume highlights relevant experience in machine learning, Python programming, and any specific frameworks mentioned in the job description. Use keywords from the job listing to ensure your application stands out.
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 experiences that demonstrate your ability to bridge ML research and real-world applications.
Showcase Technical Skills: Clearly outline your technical skills related to LLM frameworks, microservices architecture, and CI/CD tools. Provide examples of how you've successfully implemented these technologies in past projects.
Prepare for Interviews: Anticipate questions related to your technical expertise and collaborative experiences. Be ready to discuss how you can contribute to the product roadmap and share examples of your leadership in ML initiatives.
Wie du dich auf ein Vorstellungsgespräch bei Zendesk vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with various LLM frameworks and Python web frameworks. Highlight specific projects where you've implemented robust Python code and how you ensured best practices in live production systems.
✨Demonstrate Your Problem-Solving Abilities
During the interview, be ready to share examples of how you've tackled complex tasks or 'off-script' inquiries in previous roles. This will showcase your ability to think critically and adapt to user needs in real-time.
✨Emphasize Collaboration and Teamwork
Since this role involves working closely with AI Researchers and other engineers, illustrate your experience in cross-functional teams. Discuss how you've effectively communicated and collaborated with different stakeholders to achieve common goals.
✨Prepare for Technical Challenges
Expect a take-home technical challenge and a technical interview. Brush up on your knowledge of CI/CD tools, container orchestration systems, and observability tools. Be ready to demonstrate your understanding of microservices architecture and cloud technologies.