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 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.
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 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, and building infrastructure tools to support the full lifecycle of ML models. You will guide and inspire a team of engineers, ensuring the seamless integration of AI/ML solutions into our products and 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. As a leader, you will foster collaboration across cross-functional teams, champion creative problem-solving, and push the boundaries of what's possible. If you thrive in a fast-paced environment and are eager to lead and innovate, we want you on our team.
Responsibilities Manipulating and extracting large datasets using tools like Spark SQL, command line, and scripting languages to work with substantial volumes of data efficiently. Leading the design, validation, and maintenance of big data-driven predictive models, pipelines, and tools to enhance user engagement, leveraging the latest machine learning technologies and user pattern recognition. Implementing cutting-edge machine learning models to optimize business metrics and facilitating end-to-end deployment. Developing infrastructure tools to enhance the development, deployment, and overall lifecycle management of machine learning models. Facilitating communication with stakeholders, ranging from customers to internal leadership, to ensure alignment with customer needs and drive successful outcomes. Championing a customer-centric approach, understanding and prioritizing customer needs (before they do!), and effectively conveying these insights to development teams. Inspiring and challenging development teams to achieve ambitious goals sustainably, fostering a collaborative and supportive team environment. 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 Qualification: 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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