채용
Benefits & Perks
•Flexible Hours
•Learning Budget
•Remote Work
•Flexible Hours
•Learning
•Remote Work
Required Skills
Python
Machine Learning
Software Design
Cloud Services
Job Description
Zendesk’s people have one goal in mind: to make Customer Experience better. Our products help more than 125,000 global brands (Air Bnb, Uber, Jet Brains, Slack, among others) make their billions of customers happy, every day.
Our team is dedicated to providing a state-of-the-art retrieval-augmented generation (RAG) platform across multiple channels; including customer service bots, email and search. In collaboration with ML scientists, we deliver high-quality AI products leveraging the latest tools and techniques, and serve them at a scale that most companies can only dream of. We’re passionate about empowering end-users to quickly find answers to their questions, and helping our customers make the most of their knowledge base.
We’re looking for a Senior ML engineer to join our team and play a key role in levelling up the RAG platform powering Zendesk!
What you’ll be doing
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Delivering AI-powered capabilities to our customers at Zendesk scale using the latest in LLM technology
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Working closely with Product Management, ML Scientists and other ML Engineers to define feature scope and implementation strategies
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Mentoring junior team members, as well as pairing with more experienced colleagues to foster mutual learning
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Supporting our deployed services to ensure a high level of stability and reliability
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Contributing to discussions regarding technical design and best practices
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Writing clean and maintainable code to meet the team’s delivery commitments
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Here some of the challenges you will be working on:
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How do we best expand our RAG platform to handle new use cases?
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How do we optimize our system for both speed and cost-efficiency?
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How do we incorporate multiple sources of context to improve the accuracy of our generated answers?
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How do we make the best use of rapidly evolving LLM technologies?
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And many more!
What you bring to the role
Basic Qualifications
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4+ years developing machine learning systems in Python
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Solid understanding of architecture and software design patterns for server-side applications
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Experience with managing and deploying cloud services with a cloud provider (AWS, GCP, Azure)
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Experience building scalable and stable software applications
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Collaborative and growth mindset, with a commitment to ongoing learning and development
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Self-managed and agile, with the ability to problem-solve independently
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Excellent communication skills, both written and verbal
Preferred Qualifications
-
Experience with using LLMs at scale
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Experience in designing and implementing RAG systems
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Experience with managing and deploying cloud services with AWS
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Proven experience making data-driven engineering decisions; formulating hypotheses, conducting experiments, and analyzing results.
What our tech stack looks like
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Our code is largely written in Python, with some parts in Ruby
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Our platform is built on AWS
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Data is stored in RDS MySQL, Redis, S3, Elastic Search, Kafka, and Athena
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Services are deployed to Kubernetes using Docker, with Kafka for stream processing
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Infrastructure health is monitored using Datadog and Sentry
What we offer
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Team of passionate people who love what they do!
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Exciting opportunity to work with LLMs and RAG (retrieval augmented generation), rapidly evolving fields in AI
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Ownership of the product features at scale, making a significant impact for millions of customers
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Opportunity to learn and grow!
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Possibility to specialise in areas such as security, performance, and reliability
...and everything you need to be effective and maintain work-life balance
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Flexible working hours
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Professional development funds
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Comfortable office and a remote-friendly environment
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.
By submitting your application, you agree that Zendesk may collect your personal data for recruiting, global organization planning, and related purposes. Zendesk's Candidate Privacy Notice explains what personal information Zendesk may process, where Zendesk may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Zendesk’s use of your personal information.
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.
As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.
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. If you are based in the United States and would like more information about your EEO rights under the law, please click here.
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 peopleandplaces@zendesk.com with your specific accommodation request.
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About Zendesk
Reviews
3.8
3 reviews
Work Life Balance
3.0
Compensation
3.0
Culture
2.5
Career
2.0
Management
2.0
25%
Recommend to a Friend
Pros
Provides clear customer feedback insights
Recognized as important SaaS tool
Standard tool for technical support
Cons
Management focuses on metrics over customer issues
Lack of training for external hires
Difficult to gain experience without prior knowledge
Salary Ranges
769 data points
Junior/L3
Mid/L4
Senior/L5
Staff/L6
Junior/L3 · Analyst, Enterprise Analytics
1 reports
$143,000
total / year
Base
$110,000
Stock
-
Bonus
-
$143,000
$143,000
Interview Experience
2 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Interview Process
1
Application Review
2
Questionnaire/Pre-screening
3
Online Assessment
4
Behavioral Interview
5
Technical Interview
6
Offer
Common Questions
Coding/Algorithm
Behavioral/STAR
Technical Knowledge
Culture Fit
News & Buzz
Spammers abuse Zendesk to flood inboxes with legitimate-looking emails, but why? - Malwarebytes
Source: Malwarebytes
News
·
6w ago
Unsecured Zendesk systems fuel massive global spam wave - SC Media
Source: SC Media
News
·
6w ago
Zendesk ticket systems hijacked in massive global spam wave - BleepingComputer
Source: BleepingComputer
News
·
6w ago
Mass Spam Attacks Leverage Zendesk Instances - Dark Reading | Security
Source: Dark Reading | Security
News
·
6w ago
