MACHINE LEARNING ENGINEER

Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights to the world’s visionaries and innovators 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. Our technical solutions – and our methods for creating them – help connect and secure the world. Learn more about what we do and how we do it.About the Team:Join Keysight's central AI team in Barcelona, a newly formed division dedicated to innovation and excellence in machine learning. As we build this new team from the ground up, you will have a unique opportunity to shape the future of our AI initiatives and make a significant impact from day one. Our team is 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.We are 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 member's 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, Keysight's central AI team is the place for you.About the Role:We are seeking highly qualified individuals to join our newly build AI-team as Machine Learning Engineers.Specifically, we are looking for people with expertise in 3 areas: 1) Transformers, Generative AI, Large Language Models.2) Machine Learning/ Deep Learning i the field of Telecommunications and Networking.3) Pytorch experts with experience with model optimization techniques and training parallelism paradigms. We are dedicated to research and development in the field of machine learning within the design and test industry. As part of the team, you will have the opportunity to be the first 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 solutions 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 products.We're looking for someone who is self-motivated, thrives in dynamic environments, quickly builds relationships, and adapts to change and ambiguity. Strong programming skills and experience crafting, prototyping, and delivering sophisticated algorithmic solutions are essential.Responsibilities:Work with large datasets; extract and manipulate data using tools such as Spark SQL, command line, and scripting languages.Design, develop, validate, and maintain predictive models and pipelines using the latest machine learning technologies.Implement and deploy machine learning models to improve business metrics.Develop tools to enhance the development, deployment, and lifecycle of machine learning models.Collaborate with stakeholders, including customers and internal teams, to ensure alignment and success.Understand and prioritize customer needs, conveying this urgency to product development teams.Inspire and challenge development teams to achieve high performance sustainably.Required Qualifications:Master’s degree with 1-3 years of experience or PhD degreeIn-depth knowledge of deep learning (DL) and statistical machine learning (ML)Strong understanding of predictive modeling and machine learning algorithms (supervised and unsupervised learning, classification, regression, clustering, CNN/RNN/LSTM/Transformer, etc.)Proficiency in programming with Python and C++Hands-on experience with TensorFlow or PyTorchDesired Qualifications:Experience with the complete MLOps workflow, including data platforms, training infrastructure, and edge deploymentPassion for developing intuitive, maintainable, and well-documented software tools/appsAbility to thrive in a fast-paced environment, meet tight deadlines, and independently explore new ideas to improve Keysight products and operationsCreative and collaborative mindsetStrong verbal and written communication skillsWhat we offer:A place within an exciting company! At Keysight we develop with our visionary, market-leading, and highly innovative customers breakthroughs that connect and secure the world. We offer you a highly competitive package. See our culture and our Benefits.At Keysight, Inclusion, Equity & Diversity is an integral part of our core values. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. We believe everyone should be respected in the workplace and in their communities regardless of race, color, age, gender, sexual orientation, gender identity and expression, ethnicity, religion, disability, veteran status, national origin, or any protected class. We continuously challenge ourselves to grow in our understanding of inclusion by engaging in a wide variety of diversity programs, initiatives, employee network groups and mentoring/development. This is Keysight – People and Culture - Youtube.