Overview
Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization.
Our ~ 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.
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.
About the Team
Join Keysight's central AI team, a hub of innovation where top-tier researchers and engineers collaborate to create cutting-edge ML technologies that power our world-class products and services. Our team is at the forefront of AI research, driving advancements in supervised and unsupervised learning, generative models, temporal learning, multimodal input streams, deep reinforcement learning, inverse reinforcement learning, and large language models.
As a member of our team, you will have the opportunity to work on pioneering projects, develop state-of-the-art algorithms, and contribute to the evolution of technologies that enable the next generation of design and test products, including those for the 6G era.
Responsibilities
We are looking for a highly skilled Lead Machine Learning Engineer to join our dynamic team. In this leadership role, you will be at the forefront of developing innovative ML solutions for our next-generation design and test products, including enabling 6G technologies. You will tackle complex technical challenges, leveraging your expertise in deep learning, predictive modeling, and algorithm development to create impactful solutions. Your responsibilities will include:
Leading the design and maintenance of big data-driven predictive models.
Spearheading the development of state-of-the-art machine learning models.
Building infrastructure tools to support the full lifecycle of ML models.
Guiding and inspiring a team of engineers, ensuring the seamless integration of AI/ML solutions into our products.
Driving significant improvements in business metrics and user engagement.
We seek a self-motivated individual with strong programming skills, hands-on experience with TensorFlow or PyTorch, and a passion for developing intuitive, well-architected, and maintainable software tools. If you thrive in a fast-paced environment and are eager to lead and innovate, we want you on our team.
Qualifications
Required Qualifications:
Master's degree or PhD with a minimum of 3 years of experience.
Demonstrated technical leadership in guiding ML engineers either technically or managerially.
Profound expertise in deep learning (DL) and statistical machine learning (ML).
Thorough understanding of predictive modeling and various machine learning algorithms for supervised and unsupervised learning.
Strong programming skills, including proficiency in Python and C++.
Hands-on experience with TensorFlow or PyTorch.
Familiarity with the complete MLOps workflow, encompassing data platform, training infrastructure, and edge deployment infrastructure.
Desired Qualifications:
Passion for developing intuitive, maintainable, and well-architected software tools/apps.
Ability to thrive in a fast-paced environment, meet tight deadlines, and independently explore innovative ideas to enhance products and operations.
Experience with machine learning applications in the communications and networks domain.
Strong collaborative and creative mindset.
Excellent verbal and written communication skills.
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