Machine Learning R&D Engineer

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 Engineer. We are dedicated to research and development in the field of machine learning within the design and test 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 and test 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.

As a machine learning engineer, you will be focusing on:

– Working with large volumes of data; extracting and manipulating large datasets using tools such as Spark SQL, command line and scripting languages.

– Designing, developing, validating and maintaining big data-driven predictive models, tools and pipelines to improve user engagement using latest technologies in machine learning, user pattern recognition, and data modeling based on user lifecycle events.

– Implementing state of the art machine learning models to improve business metrics and conduct end-to-end deployment.

– Developing infrastructure tools to improve the development, deployment and the full lifecycle of machine learning models.

Qualifications

• Master’s degree or a PhD degree, with a minimum of 3 years of experience
• 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.
• Solid programming skills, with 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.
• 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

The level of role will be based on applicable experience, education and skills; Most offers will be between the minimum and the midpoint of the Salary Range listed below.

California pay range: MIN $ 149,850- MAX $249,750

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

This role is eligible for our Keysight Results Bonus Program

US Employees may be eligible for the following benefits:

• Medical, dental and vision
• Health Savings Account
• Health Care and Dependent Care Flexible Spending Accounts
• Life, Accident, Disability insurance
• Business Travel Accident and Business Travel Health
• 401(k) Plan
• Flexible Time Off, Paid Holidays
• Paid Family Leave
• Discounts, Perks
• Tuition Reimbursement
• Adoption Assistance
• ESPP (Employee Stock Purchase Plan)

Careers Privacy Statement 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.