Senior Machine Learning Engineer
Portugal - All - Fully Flexible
Zendesk
Job Description
Job Description
Zendesk’s people have one goal in mind: to make Customer Experience better. Our products help more than 125,000 global brands (AirBnb, Uber, JetBrains, Slack, among others) make their billions of customers happy, every day.
Our team is responsible for helping Customer Experience teams to achieve their best, by intelligently solving repetitive work, so they can shift their focus to solving more sophisticated problems. We use the latest trends in Machine Learning and AI algorithms to help us on that mission, and we're passionate about empowering our customers.
As a Senior ML Engineer, you’ll be responsible for developing products in collaboration with our ML Scientists and other ML engineers, and delivering high-quality ML and AI products to our customers, at a scale that most companies only dream of.
What you get to do every day
Write clean and maintainable code to support the team’s delivery commitments
Work closely with engineers and applied scientists to tackle hard problems Zendesk customers face, using ML technology
Actively contribute to discussions about technical design and standard methodology
Investigate and resolve production issues
Champion initiatives to improve the scalability and robustness of our platforms
What you bring to the role
Proficiency in our core language: Python. Experience in Scala, and Java is a bonus, too!
A discernible passion for data engineering: especially around large-scale data processing
Exposure to AWS infrastructure is an advantage
A self-managed and dedicated approach with the ability to work independently
Strong problem-solving capabilities as well as the flexibility and agility to deal with changing work priorities
Experience building scalable and stable software applications
Willingness to learn and improve
What our tech stack looks like
Our code is mostly written in Python. With some parts in Ruby, Scala, and Java
Our servers live in AWS
Our machine learning models rely on PyTorch and Tensorflow
Our ML pipelines use AWS Batch and EMR
Our data is stored in S3, RDS MySQL, Redis, ElasticSearch, and Aurora
Our services are deployed to Kubernetes using Docker, and use Kafka for stream-processing
What we offer
Ownership of the product features implementation you work on
What you will be doing will have a huge impact
Team of passionate people who love what they do!
Exciting features, ability to implement your own ideas and improvements
Opportunity to learn and grow!
Possibility to specialise in areas like security, performance and reliability
...and everything you need to be effective and maintain work-life balance
Flexible working hours
Professional development funds
Comfortable office and a remote setup
Premium Medical Insurance as well as Private Life Assurance
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.
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. We advocate for digital first customer experiences—and we stick with it in our workplace. Over 5,000 employees worldwide are collaborating from kitchen tables, home offices, coworking spaces, and Zendesk workspaces to make one team.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS CX Docker Elasticsearch Engineering Java Kafka Kubernetes Machine Learning ML models MySQL Pipelines Python PyTorch Ruby Scala Security TensorFlow Testing
Perks/benefits: Career development Flex hours Health care Home office stipend Insurance Salary bonus Team events
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