Adobe

Machine Learning Engineer - Infrastructure (BB-5CB95)

Encontrado en: Neuvoo CR

Descripción:

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

The Creative Intelligence Lab within Adobe Research is seeking a research engineer with a passion for compute infrastructure and machine learning cloud services. Join our effort to help product and research teams accelerate their rate of machine learning model development while also implementing industry standards for secure, distributed cloud deployments.

You will work closely with scientists and engineers to research state of the art infrastructure and workflows in deep learning for large-scale distributed training. You will apply your knowledge of software engineering and cloud security to build deep learning systems that optimize for cost and performance. Your work will be deployed as the infrastructure that ultimately runs and enables Adobe's intelligent services.

You will have the opportunity to:

  • Play a key role in ambitious, large-scale, distributed systems research
  • Build high impact, distributed systems in the cloud, working with other researchers and engineers to enable machine learning model development across the company
  • Help deploy the infrastructure that ultimately runs Adobe's AI models in creative imaging, analytics, and more
  • Have an impact on shipping applications with millions of users
  • Learn from your peers and grow into new opportunities
  • Conduct and publish groundbreaking machine learning research
  • What you need to succeed

  • We are passionate about machine learning, cloud services, and compute infrastructure - are you?
  • Significant hands on experience administering compute systems and provisioning cloud infrastructure
  • Deep understanding of how machine learning models are trained, including how compute resources, and data batch size affect model performance and accuracy
  • Track record of excellence in software engineering
  • Strong communication and collaboration skills
  • Undergraduate degree in Computer Science or a related subject area
  • Proficiency with Python
  • Additional desirable qualifications

  • Master's degree, PhD, or significant industry research experience. We have projects and leadership opportunities available at every level.
  • Familiarity with cloud computing providers such as AWS or Azure, as well as distributed systems orchestrators such as Kubernetes
  • Knowledge of machine learning methods in areas of research such as natural language processing and computer vision
  • Program management experience
  • Knowledge of standards in security and infrastructure, as well as experience using tools for cloud deployments
  • Proficiency in coordinating, provisioning, and maintaining systems and compute infrastructure
  • calendar_todayhace 14 horas

    Empleos similares

    info Full time

    location_onSan José, Costa Rica

    work Adobe

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