Machine Learning Engineer

About the Role

Key Responsibilities

• Lead and contribute to projects applying advanced ML and deep learning to use cases such as design automation, yield prediction, anomaly detection, signal classification, and device modeling.
• Collaborate with engineers across electrical, RF, product, and manufacturing domains to deliver business impact through data and AI.
• Predictive analytics for yield and quality improvement.
• Optimization of circuit or device parameters.
• RF signal modeling and anomaly detection.
• 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.
• Work with cross-functional stakeholders to understand problem statements and translate them into ML solutions.
• Work on both research prototypes and production-grade deployments.
• Stay current with trends in ML relevant to semiconductor, signal processing, or high-dimensional time-series data.

Requirements

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

Nice to Have

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

Qualifications

• Educational background with BS and 8 years experience or Ph.D. in relevant fields.

Benefits & Perks

• Access to healthcare benefits including a premium-free medical plan option.
• A 401(k) plan and company match.
• An employee stock purchase plan.
• Paid time off including vacation, sick/wellness, parental leave.
• Participation in incentive plans and additional awards based on performance.