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Overview

HP Engineering entails utilizing established engineering disciplines to test and safeguard the manufacturing standards for new and existing HP products. Working with internal stakeholders and outsourced development partners, you will develop and execute solutions to resolve any existing issues, ensuring that our operating processes are cost-effective and uphold the highest quality.

Success profile

What makes a successful Engineer at HP? Check out the top traits we’re looking for and see if you have the right mix.

  • Communicator9
  • Deadline-oriented10
  • Entrepreneurial6
  • Open-minded9
  • Problem-solver7
  • Team Player10
10

Rewards

  • Medical

  • Holidays

  • Flex Time

  • Life and Disability
    Insurance

  • Work/Life Balance

  • Onsite Gym/
    Fitness Center

A team of engineering employees in front of a whiteboard A woman engineer in a laboratory
  • “Our passion is to innovate in addressing daily engineering challenges.”

  • “At HP, innovative people collaborate together to create experiences and products that make the world a better place.”

  • “I joined HP not long ago, right after my undergrad studies; the amount of autonomy that my manager has given me was beyond my expectation. My seniors value my opinion and they trust me as a part of the team.”

  • “I love working at HP because it allows me to give back to the community and participate in volunteering events that I care about.”

Responsibilities

Job ID 3034420 Primary Location Palo Alto, California, United States of America Other Location Corvallis, Oregon, United States of America; Date posted 12/19/2018

At HP, talent is our criteria. Join us in reinventing the standard for diversity and inclusion. Bring your awesomeness, and just be you!

HP Labs is an international research organization headquartered in Palo Alto, CA. HP Labs' purpose is to deliver breakthrough technologies and technology advancements that provide a competitive advantage for HP, by investing in fundamental science and technology in areas of interest to HP.

Our Team at HP Labs is spearheading the application of machine learning to existing business units and functions as well as yet-to-be-created businesses within HP. At HP Labs, we conduct research to gain fundamental understanding of ML algorithms and apply these algorithms to HP Data for practical impact.

Some of our research topics include: (1) Modeling of complex physical processes with an eye toward reduced execution time (2) Visual Perception (3) NPL  (4) Affective computing (5) real-time control of physical systems.(6) Failure prediction and diagnosis.

If you have deep technical skills, are intensely curious, and like to attack the hardest and most challenging, want to make a difference in the lives of others and want to work in a highly supportive team, then we invite you to apply to join our team. 

In this highly visible role, you will:

  • Design, implement and evaluate models, and build software prototypes of machine learning systems with board business impact.
  • Help lay the technical foundation of new businesses, products and services, and leverage ML to increase the operational efficiency of HP.
  • Communicate your results internally and externally in leading research venues
  • Have hands-on leadership of small teams or work as an individual contributor to lay the technical foundation of future products and businesses for HP. 
  • Work in a cross-functional team environment to realize you research

Qualifications:

Minimum:

  • PhD degree in Artificial Intelligence, Machine Learning, Robotics, Computational Neuroscience or related technical field with a strong publication/practical implementation
  • Strong deep learning experience,  particularly in application of Neural Network architectures to Computer Vision, Natural Language Processing, Machine Intelligence and/or Reinforcement Learning
  • Experience in one or more deep learning frameworks such as Pytorch, Torch, Caffe, or Tensorflow.
  • Publication in highly ranked ML and AI conferences and/or journal publications.
  • Strong verbal, written and presentation skills.

Preferred:

  • Research focus on one of the following: Computer Vision, Deep Reinforcement Learning, NLP, ASR,  Audio Processing.
  • International Reputation in Deep Learning as evidenced by publication record, invited presentations, blogs, etc.
  • Contributions to open source projects.
  • Experience or interest in controlling physical systems using Machine Learning
  • Computational Neuroscience modeling experiences
  • One or more programming languages: C++/C, Python ,Java, MATLAB
  • Experience with OpenCV, ROS, etc.

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