Senior Principal Machine Learning Engineer
| Company | Keysight Technologies, Inc. |
|---|---|
| Location | Santa Rosa, CA, USA |
| Salary | $192000 – $345600 |
| Type | Full-Time |
| Degrees | Master’s, PhD |
| Experience Level | Expert or higher |
Requirements
- Master’s degree or PhD with a minimum of 8 years of experience, with deep expertise in predictive ML, not just GenAI applications.
- Demonstrated technical leadership guiding ML engineers.
- Proven track record of successfully shipping AI products from concept to deployment, demonstrating the ability to deliver high-quality, impactful solutions in real-world applications.
- Extensive expertise in deep learning (DL) and statistical machine learning (ML).
- Experience working cross-organizationally to identify and integrate technology streams into a common solution.
- 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.
- Extensive experience with the complete MLOps workflow, encompassing data platform, training infrastructure, and edge deployment infrastructure.
- Ability to thrive in a fast-paced environment, meet tight deadlines, and independently explore innovative ideas to enhance products and operations.
- Strong collaborative and creative mindset.
- Excellent verbal and written communication skills.
Responsibilities
- 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.
- Implement cutting-edge machine learning models to optimize business metrics and facilitate end-to-end deployment.
- Develop infrastructure tools to enhance the development, deployment, and overall lifecycle management of machine learning models.
- Facilitate communication with stakeholders, ranging from customers to internal leadership, to ensure alignment with customer needs and drive successful outcomes.
- Champion a customer-centric approach, understanding and prioritizing customer needs (before they do), and effectively conveying these insights to development teams.
- Inspire and challenge development teams to achieve ambitious goals sustainably, fostering a collaborative and supportive team environment.
Preferred Qualifications
- PhD in AI/ML, Computer Science or related field, and experience as an established technology visionary. Must have deep predictive ML expertise, not just GenAI application.
- Familiarity with Keysight products and domains, demonstrating an understanding of the technology and market landscape in commercial communications, aerospace/defense, and industrial electronics.
- Passion for developing intuitive, maintainable, and well-architected software tools/apps.