Senior ML Engineer
Portugal - Lisbon - Office
- Remote-first
- Website
- @Zendesk 𝕏
- Search
Zendesk
Discover AI-powered, award-winning customer service software trusted by 200k customers. Make customers happy via text, mobile, phone, email, live chat, social media.Job Description
At Zendesk, our focus is helping our customers build great relationships with their customers. Founded by three Danish entrepreneurs, Zendesk has experienced remarkable success and growth while maintaining a fun, positive, and down-to-earth culture.
We are looking for a Senior Machine Learning Engineer to join our Machine Learning team. You will be delivering AI/ML powered features for our customers at Zendesk scale.
What you’ll be doing
Work closely with ML Scientists to help bring ML-powered features into production
Contribute to discussions about technical design
Build tools to support model experimentation and model management
Collaborate with DevOps, feature teams, platform teams and product
Contribute to initiatives around improving the scalability and robustness of our platforms
Design, prototype, and refine scalable infrastructure
What you bring to the role
Required
Fluent in at least one of Python or Ruby
At least 5 years of background in building, scaling, and operating large scale applications
Previous experience delivering ML products, or in ML operations (MLOps)
Fluency with RESTful API, Kafka, Docker, Kubernetes, and cloud-like AWS or GCP
Ability to work with uncertainty and the flexibility to pivot with changing priorities
Deep respect and desire for team collaboration and members perspectives
Preferred
Experience with either Airflow or Metaflow
Experience with recent tooling around LLM evaluation and monitoring
Familiar with one of the machine learning libraries such as Pytorch
Experience with either SQL or DBT
Tech Stack
Our code is written in Python and Ruby
Our servers live in AWS
Our machine learning models rely on Pytorch
Our ML pipelines use Airflow and Metaflow
Our data is stored in S3, RDS MySQL and Snowflake
Our services and models are deployed to Kubernetes using Docker
Heavy usage of LLM technology from multiple providers
#LI-AO1
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. 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: Airflow APIs AWS CX dbt DevOps Docker GCP Kafka Kubernetes LLMs Machine Learning ML models MLOps MySQL Pipelines Python PyTorch Ruby Snowflake SQL Testing
Perks/benefits: Career development
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