Staff Machine Learning Engineer

Portugal - All - Fully Flexible

Applications have closed

Job Description

  • Zendesk’s people have one goal in mind: to make Customer Experience better. Our products help more than 145,000 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 an Engineer on our team, you’ll be responsible for developing products in collaboration with our Engineers, ML Scientists and ML Engineers, and delivering high-quality ML and AI products to our customers, at a scale that most companies only dream of.

    What you’ll be doing
    • Delivering AI-powered capabilities to our customers at Zendesk scale

    • Working closely with Product, Management, DS and ML Engineers to define the scope of features and implementation approach.

    • Automating the deployment pipelines for crucial AI-powered services and products

    • Actively collaborating in evolving the workflow and processes together with the members of the team.

    • Supporting our deployed services to ensure a high level of stability and reliability.

    • Mentoring junior team members, as well as pairing with more experienced colleagues and learning from each other.

    What you bring to the role

    Basic Qualifications:

    • Experience with provisioning and deploying services with a cloud provider (GCP, AWS, Azure).

    • Fluency in any server-side programming language and the testing frameworks (Python, Java, Scala, Golang, Ruby).

    • Fluency in any web programming language and the testing frameworks (Typescript, React, NodeJS).

    • Sound understanding of architecture and software design patterns for server-side and web domains.

    • Experience building and deploying Machine Learning powered solutions

    • Strong understanding of Machine Learning development approach for supervised and/or unsupervised learning algorithms.

    • Collaborative and growth mindset along with the desire to continue your ongoing learning and development.

    Preferred Qualifications:

    • 4+ years of work experience in DS/ML-powered software development

    • 6+ years developing web applications ideally with React or Typescript

    • 6+ years developing server-side applications ideally with NodeJS, Ruby, Python or Scala

    • Experience with Machine Learning pipeline automation tools

    Tech Stack
    • Web pipeline: React, NodeJS, Ruby, Scala

    • ML pipeline: Metaflow, AWS SageMaker, AWS Batch

    • ML models: PyTorch, TensorFlow, MLFlow

    • Storage: RDS MySQL, Redis, S3, ElasticSearch, Aurora

    • Streams and queues: Kafka,

    • Service deployment: Kubernetes, Spinnaker

    • Logging and monitoring: Datadog, Sentry

    Where We Work:

    We're rapidly growing our teams in Lisbon, Portugal, and Krakow, Poland. We have exciting next-generation ML-powered products that are already in use by customers in the banking and finance area, online and offline retailers, and even national postal services. You will work with a driven team, passionate about delivering the right experience to end-users using sophisticated and pioneering ML technology.

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: Architecture AWS Azure Banking CX Elasticsearch Finance GCP Golang Java Kafka Kubernetes Machine Learning MLFlow ML models MySQL Node.js Pipelines Python PyTorch React Ruby SageMaker Scala TensorFlow Testing TypeScript Unsupervised Learning

Perks/benefits: Career development

Region: Europe
Country: Portugal
Job stats:  2  0  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.