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Machine Learning/AI R&D Internship

Keysight Technologies
Santa Rosa, United Statesfull_timeVerifiedPosted 13 Feb 2024
💰 $120,000/yr

About the role

Overview

Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

Responsibilities

We are seeking highly qualified individuals to join our team as Machine Learning R&D Intern. We are dedicated to research and development in the field of machine learning within testing and measurement industry. As a part of the team, you will have the opportunity to work on some of the most challenging technical problems and develop innovative ML solutions that will influence the future of Keysight’s products and business operations. You'll be developing innovative ML solution for our next generation design, testing and measurement products enabling 6G. You'll collaborate with cross-functional teams across Keysight to ensure that the AI/ML solutions are seamlessly integrated within our product. We're looking for someone who is self-motivated. You thrive in dynamic environments, quickly building relationships and adapting to change and ambiguity. Your strong programming skills and experience crafting, prototyping, and delivering sophisticated algorithmic solutions are essential.

Qualifications

  • Currently pursuing a Master/PhD degree in Machine Learning, Computer Science, Data Science, Statistics or related areas
  • In-depth knowledge in deep learning (DL) and statistical machine learning (ML).
  • Deep understanding of predictive modeling and machine learning algorithms for supervised and unsupervised learning including classification, regression, clustering, CNN/RNN/LSTM/Transformer, etc.
  • Proficiency in Python and C++
  • Hands-on experience with TensorFlow or PyTorch
  • Experience with complete MLOps workflow - data platform, training infrastructure and edge deployment infrastructure
  • Demonstrated ability to conduct innovative research and publish findings in top-tier conferences and journals.
  • Passionate about developing software tools/apps that are intuitive, easy to maintain, well architected and documented, and reusable.
  • Ability to thrive in a fast-paced environment, meet tight deadlines, and independently explore new, innovative ideas to improve Keysight products and business operations.
  • Creative and collaborative.
  • Strong verbal and written communication skills

Keysight Internship Program Requirements

Candidates who wish to be considered must be enrolled in a accredited college/university as of September 2024. Applicants who have graduated before September 2024 will not be considered unless they are entering/applying to a MS or PHD program after graduating.

 

California Pay Range: $53.00 - $60.00 per hour

Based on experience, education and skills, most offers will be between the minimum and the midpoint of the Salary Range listed above.

Note: For other locations, pay ranges will vary by region.

 

Careers Privacy Statement ***Keysight is an Equal Opportunity Employer.*** Keysight Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.

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Company

Keysight Technologies

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