At a Glance
- Tasks: Design and test innovative AI solutions for real-world business challenges.
- Company: Join Zendesk, a leader in customer engagement and AI technology.
- Benefits: Enjoy flexible remote work, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on diversity and inclusion.
- Why this job: Shape the future of conversational AI and make a real impact on user experiences.
- Qualifications: Degree in relevant fields and proven experience in Machine Learning or NLP.
The predicted salary is between 70000 - 90000 £ per year.
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.
- 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 skills 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 their ability to prioritize and champion these ideas.
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.
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.
Senior Machine Learning Scientist employer: Zendesk, Inc.
Contact Detail:
Zendesk, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Scientist
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to NLP or conversational AI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common ML interview questions and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Zendesk.
We think you need these skills to ace Senior Machine Learning Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Machine Learning Scientist role. Highlight relevant experience in machine learning and NLP, and don’t forget to showcase any projects that align with our Gen3 AI Agent system.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about conversational AI and how your skills can help us revolutionise customer experiences. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any interesting ML projects, make sure to mention them! We love seeing proof of your hands-on experience, especially if it relates to real-world applications or innovative solutions.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Zendesk, Inc.
✨Know Your Stuff
Make sure you brush up on the latest trends in machine learning and NLP. Familiarise yourself with Gen3 and its capabilities, as well as any recent advancements in conversational AI. This will not only help you answer technical questions but also show your genuine interest in the role.
✨Prepare Real-World Examples
Think of specific projects or experiences where you've successfully implemented machine learning solutions. Be ready to discuss the challenges you faced, how you overcame them, and the impact your work had. This will demonstrate your practical approach and problem-solving skills.
✨Engage with the Team
During the interview, don’t hesitate to ask questions about the team dynamics and collaboration processes. Show that you're a proactive team player by discussing how you can contribute to product discussions and support your colleagues in their work.
✨Communicate Clearly
Since great communication skills are essential for this role, practice explaining complex concepts in simple terms. This will help you connect with non-technical stakeholders and showcase your ability to bridge the gap between research and real-world applications.