Machine Learning Engineer

Key Skills

Aartificial intelligence, Analytical and Problem solving, AWS, Azure, C++, Continuous Integration & Continuous Delivery - CI/CD, Data science techniques, Deep Learning, DevOps, Effective communication skills, Git, Google Cloud Platform (GCP), JIRA, Machine learning techniques, MLflow, MLOps tools, Operations, Optimization, PowerBI, Python Programming, PyTorch, SQL, Tableau, TensorFlow

Job Description

We are seeking a motivated Machine Learning Engineer to join our data science team. This role will focus on developing, implementing, and optimizing machine learning models to innovate semiconductor manufacturing processes. The ideal candidate will have strong analytical skills, knowledge of ML algorithms, and experience working with complex datasets.

Key Responsibilities:

Model Development & Implementation:

• Develop machine learning models for defect detection, predictive maintenance, and process optimization.
• Design deep learning models for image-based defect classification using TensorFlow, PyTorch, and Keras.
• Experiment with advanced algorithms like transformers and CNNs.

Data Analysis & Preprocessing:

• Collect, clean, and preprocess structured, unstructured, time series, and image data.
• Perform exploratory data analysis (EDA) to optimize model inputs.

Pipeline & Infrastructure Development:

• Build and optimize ML pipelines integrated with existing systems.
• Collaborate with data engineers to implement cloud-based solutions for storage, training, and deployment on AWS or Azure.
• Ensure scalability, reliability, and efficiency in data operations.

Collaboration & Communication:

• Work with data scientists, engineers, and developers to identify improvements through ML.
• Present findings to both technical and non-technical stakeholders.
• Monitor and update models to maintain performance and address data changes.

Research & Innovation:

• Stay current on advancements in machine learning, AI, and data science, applying new techniques to projects.
• Conduct research to explore new approaches for optimizing semiconductor manufacturing.

Qualifications:

• Graduate degree in Computer Science, Engineering, Mathematics, or a related field.
• Proficiency in machine learning, deep learning, and statistical modeling
• Programming in Python, C++, SQL; experience with TensorFlow, PyTorch, Keras.
• Experience with NumPy, Pandas, and Scikit-learn.
• Knowledge of cloud platforms like AWS, Azure, or Google Cloud.
• Experience building ML pipelines and scalable infrastructure.
• Familiarity with Docker and CI/CD practices.
• Experience with visualization tools like Power BI and Tableau.
• Strong problem-solving and attention to detail.
• Ability to communicate complex ideas effectively to diverse teams.
• Self-motivated with a passion for continuous learning and innovation.

Preferred Experience:

• Prior experience in semiconductor or manufacturing data.
• Knowledge of MLOps and DevOps practices for model deployment.
• Experience with time series data and computer vision.
• Familiarity with Git, Jira, and MLflow for version control and model management.

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The typical base pay range for this role across the U.S. is currently USD $87,600 - $167,900 per year. Starting base pay will depend on relevant experience and skills, training and education, business needs, market demands, the ultimate job duties and requirements, and work location. Skyworks has different base pay ranges for different work locations in the U.S. Benefits include 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), among others. Employees are eligible to participate in an incentive plan, and certain roles are also eligible for additional awards, including recognition and stock. These incentives and awards are based on individual and/or company performance.

Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at accommodations@skyworksinc.com.