Machine Learning Engineer 5

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. About the team: Join Keysights 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. At Keysight, we are passionate about pushing the boundaries of what is possible. Our mission is to develop transformative ML solutions that address real-world, large-scale problems, ensuring our products lead the industry in performance and reliability. 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. We foster a dynamic and collaborative environment where innovation thrives, and every team members contribution is valued. Our cross-functional teams work closely to integrate AI/ML solutions seamlessly into our products, ensuring that we meet and exceed the needs of our customers. If you are driven by curiosity, inspired by challenges, and ready to make a significant impact, Keysights central AI team is the place for you. Responsibilities About the Role: 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. Youll be developing innovative ML solution for our next generation design and test products enabling 6G. Youll collaborate with cross-functional teams across Keysight to ensure that the AI/ML solutions are seamlessly integrated within our product. Were 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 techniques for model optimization and deployment on edge - 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 or PhD degree in Computer Science, Information Technology, Engineering with a minimum of 2 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. Expertise with pytorch framework and optimization of models Expertise with quantization, model pruning, sparsification, etc Expertise with CUDA Solid programming skills, with proficiency in Python and C++ 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 Careers Privacy Statement ***Keysight is an Equal Opportunity Employer.*** About the Role: 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. Youll be developing innovative ML solution for our next generation design and test products enabling 6G. Youll collaborate with cross-functional teams across Keysight to ensure that the AI/ML solutions are seamlessly integrated within our product. Were 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 techniques for model optimization and deployment on edge - 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.