Zendesk - Machine Learning Engineering Manager

Remote, Portugal

Natural Language Processing (NLP), machine learning, Artificial Intelligence

Zendesk is currently hiring a Machine Learning Engineering Manager
 
About the company: 
Zendesk’s people have one goal in mind: to make Customer Experience better. Their products help more than 125,000 global brands (AirBnb, Uber, JetBrains, Slack, among others) make their billions of customers happy, every day.
Their 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. They use the latest trends in Machine Learning and AI algorithms to help them on that mission, and they're passionate about empowering their customers.
 
They are looking for an experienced Machine Learning Engineering Manager to lead the ML knowledge team. The team’s mission is both enabling knowledge creation through generative AI, as well as making the generated knowledge discoverable through information retrieval systems. As an ML Engineering Manager, you are leading all aspects of a cross-functional team that is responsible for end-to-end delivery of machine learning-powered features. You will demonstrate your machine learning expertise to steer the team, while ensuring alignment to credible engineering practices. You ensure that ML models are deployed efficiently at scale, suitable cost, and with measurable quality. You'll work with different partners (Engineering, Product, Architects and Tech Leads) to ensure your team's roadmap is aligned with company strategy and the team is shipping architecturally sound software at a regular cadence.
 
What you'll be doing: 
  • Lead a team of experienced Machine Learning Engineers and Scientists, offering direction and assistance at every stage of the lifecycle of an ML project.
  • Collaborate with existing ML/AI leadership to continually improve software delivery and service reliability.
  • Lead the recruitment of new team members and facilitate a speedy, engaged interview process.
  • Have quality 1:1s with your team members.
  • Create a diverse and inclusive working environment where people can thrive.
 
What you bring to the role: 
  • Experience managing people across one or more teams, ideally working with large, distributed Internet-facing systems.
  • Proven expertise in leading the delivery of machine learning projects to production.
  • Expertise in NLP or Information Retrieval is a big plus.
  • Phenomenal communication skills, both written and verbal.
  • Refined prioritization skills, you are able to focus your time and energy where it’ll have the most impact.
  • A dedication to continual self-development.
  • Collaborative, upbeat work ethic where you can take ownership and have fun.
 
Tech Stack:
  • Their code is written in Python, Ruby, Scala, and Java.
  • Their servers live in AWS.
  • Their machine learning models rely on PyTorch and Tensorflow.
  • Their ML pipelines use AWS Batch and EMR.
  • Their data is stored in S3, RDS MySQL, Redis, ElasticSearch, and Aurora.
  • Their services are deployed to Kubernetes using Docker, and use Kafka for stream- processing.
 
What they offer:
  • Full ownership of the projects 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
  • ​Internet and Phone bill allowance
  • Premium Medical Insurance as well as Private Life Assurance
 
Want to know more? Get in touch with us 👇
 
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