Descripción del trabajo 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. 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 :
About the team : Keysight delivers the industry’s leading design, emulation, and test solutions, enabling our customers to accelerate their innovations for their society-shaping end markets in communications, data centers, quantum computing, semiconductor, aerospace / defense and others. You will have the opportunity to drive industry-level impact by harnessing Keysight's trove of deep measurement expertise and the design, emulation, and test data that drives the world’s most influential electronic applications. With your passion and vision, you will deliver breakthrough AI solutions that accelerate customer innovations, secure the world, and connect people across the globe.
Keysight's central AI 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. 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 for ML solutions is to develop transformative ML technology that address real-world, large-scale problems, ensuring our products lead the industry in performance and reliability.
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 a visionary Principal Machine Learning Engineer to join our team at Keysight. In this leadership role, you will define and drive a bold vision while leading the team’s technical execution with hands-on contribution, mentoring, and direction. You will be at the forefront of developing innovative ML solutions for our next-generation design and test products, tackling complex technical challenges and 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.
Responsibilities :
1. Lead 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.
2. Implement cutting-edge machine learning models to optimize business metrics and facilitate end-to-end deployment.
3. Develop infrastructure tools to enhance the development, deployment, and overall lifecycle management of machine learning models.
4. Facilitate communication with stakeholders, ranging from customers to internal leadership, to ensure alignment with customer needs and drive successful outcomes.
5. Champion a customer-centric approach, understanding and prioritizing customer needs, and effectively conveying these insights to development teams.
6. Inspire and challenge development teams to achieve ambitious goals sustainably, fostering a collaborative and supportive team environment.
Qualifications :
Required Qualifications :
1. Master’s degree or PhD with a minimum of 8 years of experience, with deep expertise in predictive ML.
2. Demonstrated technical leadership guiding ML engineers.
3. Proven track record of successfully shipping AI products from concept to deployment.
4. Extensive expertise in deep learning (DL) and statistical machine learning (ML).
5. Experience working cross-organizationally to identify and integrate technology streams into a common solution.
6. Thorough understanding of predictive modeling and various machine learning algorithms for supervised and unsupervised learning.
7. Strong programming skills, including proficiency in Python and C++.
8. Hands-on experience with TensorFlow or PyTorch.
9. Extensive experience with the complete MLOps workflow.
10. Strong collaborative and creative mindset.
11. Ability to thrive in a fast-paced environment, meet tight deadlines, and independently explore innovative ideas.
Desired Qualification :
1. PhD in AI / ML, Computer Science or related field.
2. Familiarity with Keysight products and domains.
3. Passion for developing intuitive, maintainable, and well-architected software tools / apps.
Keysight is an Equal Opportunity Employer.
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