Machine Learning Engineer

Position Overview

Skyworks is an innovator of high-performance analog semiconductors powering the wireless networking revolution. As part of a flat, fast-paced, and globally collaborative organization, the Machine Learning Engineer (MLE) will join the rapidly growing AI/ML team in Irvine, CA to apply cutting‑edge ML and deep learning techniques to real-world engineering challenges in analog and RF domains.

Requisition ID: 75764

Key Responsibilities

• Lead projects applying advanced ML and deep learning to design automation, yield prediction, anomaly detection, signal classification, and device modeling.
• Develop predictive analytics for yield and quality improvement and optimize circuit/device parameters.
• Implement RF signal modeling and perform root-cause analysis across test and manufacturing data.
• Own the end-to-end ML pipeline: data acquisition, feature engineering, model selection, training, evaluation, deployment, and monitoring.
• Collaborate with cross-functional stakeholders including design engineers, process experts, and product owners from various domains.
• Work on both research-oriented prototypes and production-grade deployments while staying up-to-date with ML trends in semiconductor and signal processing.

Required Qualifications

• Bachelor’s degree with 8 years of experience in Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or related field (Ph.D. preferred).
• Strong theoretical and practical expertise in machine learning and deep learning, including experience with CNNs, transformers, time-series models, or probabilistic methods.
• Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, and Scikit-learn.
• Solid understanding of statistics, optimization, and model evaluation techniques.
• Excellent communication and collaboration skills to work across multiple disciplines.

Preferred Qualifications

• Exposure to semiconductor, electronics, or RF system domains with a basic understanding of circuit behavior, test data, and signal integrity.
• Experience working with large, complex datasets such as sensor, waveform, or EDA simulation outputs.
• Familiarity with data infrastructure and workflow orchestration tools like Airflow, MLflow, or cloud platforms.
• Contributions to peer-reviewed research, patents, or open-source ML projects.

Benefits & Perks

• Compensation: Base pay range of USD $112,500 - $215,900 per year, determined by experience, skills, and location.
• Healthcare benefits including a premium-free medical plan option.
• 401(k) plan with company match and an employee stock purchase plan.
• Paid time off including vacation, sick/wellness, and parental leave.
• Eligibility to participate in an incentive plan with additional awards based on individual and company performance.