Machine Learning Performance Engineering Intern

Job description

Machine Learning Performance Engineering Intern

  

Job Description:

   

At HPE, we bring together the brightest minds to create breakthrough technology solutions and advance the way people live and work. Our legacy inspires us as we forge ahead dedicated to helping our customers make their mark on the world.

Learning does not only happen through training. Relationships are among the most powerful ways for people to learn and grow, and this is part of our HPE culture. In addition to working alongside talented colleagues, you will have many opportunities to learn through coaching and stretch assignment opportunities. You’ll be guided by feedback and support to accelerate your learning and maximize your knowledge. We also have a “reverse mentoring” program which allows us to share our knowledge and strengths across our multi-generation workforce.

During this internship, the intern will be developing benchmarks that test models and methods in AI that expands our list of AI workloads that can be used for performance measurements, capacity and sizing and exercising new hardware.  

Requirements:
-  MS or PhD candidate in computer science, engineering, mathematics, or equivalent.
-  Coursework and experience in AI, specifically with the DL frameworks such as TensorFlow and PyTorch. Equivalent to the Andrew Ng courses.
- Knowledge of current AI neural network methods and models such as GANs, RNNs, object detection,  machine learning (ML) areas such as clustering, decision trees, SOMs.
-  Proficiency in Python and with scientific and data analysis packages to include Numpy, Pandas, Matplotlib.
-  Familiarity with Linux.
-  Familiarity with current AI frameworks such as TensorFlow, PyTorch, mxnet.
-  Ability and willingness to acquire new subjects as needed.

We offer:

• A competitive salary and extensive social benefits

• Diverse and dynamic work environment

• Work-life balance and support for career development

• An amazing life inside the element! Want to know more about it?

Then let’s stay connected!

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Job:
Administration

Job Level:
N/A

    

Hewlett Packard Enterprise is EEO F/M/Protected Veteran/ Individual with Disabilities.

   

HPE will comply with all applicable laws related to the use of arrest and conviction records, including the San Francisco Fair Chance Ordinance and similar laws and will consider for employment qualified applicants with criminal histories.