Machine Learning Engineering Manager
San Jose
hace 4 días

Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone from emerging artists to global brands everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity.

We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

The opportunity

  • We'll shape the future of ML powered experiences by building the infrastructure of Adobe Experience Platform to enable our customers to score users across the web using their own models
  • You'll be exposed to groundbreaking ml technologies, from Adobe as well as our customers
  • This team works on Real Time Machine Learning to enable Adobe's customers to have their own ML models to manage their users and provide them with the optimal customer experience
  • Lead a team of 5 or so direct reports
  • Partner closely with our Product teams, Data Scientists, and multiple stakeholders
  • What you'll do

  • Manage a team of distributed highly skilled multi-functional engineers
  • Work closely with data scientists, engineers, researchers, and product managers to implement AI / ML solutions into Adobe Experience Platform
  • Engage with customers to understand and anticipate their ML needs
  • Partner with other teams at Adobe to align on priorities and drive your projects forward
  • Scale systems and deal with infrastructure
  • What you need to succeed

  • Computer Science / Software Engineering Degree or 7 years of equivalent practical experience
  • Experience with the following technologies : Machine learning algorithmsScikit-learn experienceSparkKubernetesML flow / KubeflowAWS or Azure SaaSTensorFlow
  • 3 years prior years management experience
  • Know when to be pragmatic and when to be principled
  • Be a champion for your team and focus on growing their skills and careers
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