Machine Learning/AI Engineer

$181,000 - $181,000/Yr

Keysight - Calabasas, CA

Full-time - Mid Level

Calabasas, CA

10,001+ employees

Computer and Electronic Product Manufacturing

About the position

The AI/ML Engineer position at Keysight Technologies focuses on integrating artificial intelligence and machine learning techniques into electronic design automation (EDA) tools. The role involves developing, implementing, and optimizing AI/ML models for various EDA applications, ensuring quality and reliability through MLOps practices. The engineer will work closely with software developers to enhance EDA tools and stay updated on the latest AI/ML advancements.

Responsibilities

• Design and develop machine learning systems tailored for EDA applications.
• Implement appropriate ML algorithms and techniques.
• Process and analyze large volumes of data to create predictive models.
• Collaborate with software developers to integrate AI/ML features into EDA tools.
• Establish MLOps pipelines for model deployment, monitoring, and maintenance.
• Conduct rigorous testing and quality assurance of AI/ML versions.
• Continuously monitor and update models to optimize performance.
• Stay informed about the latest developments in AI/ML and their applicability to EDA.

Requirements

• 3-5 years of industrial experience
• PhD/MTech in the area of AI/ML
• Strong proficiency in programming languages such as Python
• Basic knowledge of C++ is desired
• Strong understanding of Neural Networks, Reinforcement Learning, GenAI
• Solid understanding of machine learning algorithms, techniques, and libraries (e.g., TensorFlow, PyTorch, scikit-learn)
• Experience with data preprocessing, feature engineering, and model evaluation
• Good understanding of MLOps
• AI solution deployment experience both on-prem and cloud
• Proficiency in data manipulation and analysis using SQL, pandas, or similar tools
• Familiarity with software development methodologies and version control systems (e.g., Git)
• Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus
• Excellent problem-solving skills and analytical thinking
• Strong communication and interpersonal skills.

Nice-to-haves

• Familiarity with software development methodologies and version control systems (e.g., Git)
• Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

Benefits

• Medical, dental and vision
• Health Savings Account
• Health Care and Dependent Care Flexible Spending Accounts
• Life, Accident, Disability insurance
• Business Travel Accident and Business Travel Health
• 401(k) Plan
• Flexible Time Off
• Paid Holidays
• Paid Family Leave
• Discounts, Perks
• Tuition Reimbursement
• Adoption Assistance
• Employee Stock Purchase Plan