Machine Learning Engineer 3 Full-time

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.

Responsibilities

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 AI/ML data scientist to join our dynamic team. The mission of this role is to provide technical expertise on a wide array of data management, analytics, and artificial intelligence (AI) solutions to support multiple Keysight worldwide business lines and departments. Our solutions and use cases span multiple enabling technologies (on-premise, cloud, edge) as well as highly heterogenous data assets (structured, unstructured, real-time, local, installed base, etc.) and analytics and AI needs.

We seek a self-motivated individual with strong programming skills, hands-on experience with TensorFlow or PyTorch and python coding, and a passion for developing intuitive, well-architected, and maintainable software tools. As an expert, 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

• Serve as technical expert to solve highly complex business challenges and drive analytics and AI innovation by framing architecture boundaries for solution direction, including innovation step-ups, resulting in robust solutions.
• Identify and implement data management and analytics capabilities needed to support current and future business needs.
• Implement algorithms for gathering insights and perform data curation of large data sets, identifying patterns such as failure cases, distribution issues, etc.
• Build tools for data cleaning, synthesis, versioning and featurization for Keysight use cases, assessing importance of each feature and identifying features critical to each use-case
• Build tools for computing and visualizing data and AI model explainability
• Implement algorithms and tools for assessing model failures in correlation with data selection and curation
• Build tools for assessing safety and security of AI models and provide insights
• Collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problem
• Be effective at partnering with all required stakeholders to drive effective cross-team collaboration

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering or related field with a minimum of 3 years of experience.
• Profound expertise in data science, data mining, data engineering, statistics and machine learning technologies.
• 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.
• Strong skills developing production-grade applications and services in Python and possibly other programming languages. Code must be well-written, secure, and well documented.
• Critical thinking, agile mindset, strong written and verbal communication skills exercised across all levels of business hierarchy, with a demonstrated appetite for relationship building.
• Demonstrated experience using data science libraries in Python, SQL, R etc. to transform, clean, analyze, and model data; report statistics; generate insights
• Experience with data warehousing and high speed data analytics processing frameworks like Apache Spark, Kafka, Redshift etc.
• Proven experience with database principles, data warehousing (virtual or physical), data modeling, and data governance concepts.
• Proven experience with data visualization tools and capabilities such as PowerBI, Grafana, or Spotfire.
• Knowledge of data splitting techniques and generalization principles

Careers Privacy Statement

***Keysight is an Equal Opportunity Employer.***