Listed on Intel’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role applies machine learning and data analytics to solve manufacturing problems in semiconductor production, working with engineers to develop tools and insights from factory data. It suits recent graduates with strong statistics or computer science foundations and hands-on experience in predictive modeling and data programming.
Our summary, not Intel’s wording. The full posting is on their site.
Skills this role names
- Anomaly Detection
- Apache Hadoop
- Dimensionality Reduction
- Machine Learning
- NumPy
- Pandas
- Predictive Modeling
- Python
- PyTorch
- R
- scikit-learn
- SPARK
- SQL
- TensorFlow
- Time Series Analysis
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What they ask for
Required
- Master's degree in Statistics, Machine Learning, Computer Science or related field
- Experience with predictive modeling, pattern recognition, machine learning algorithms, clustering, dimensionality reduction, anomaly detection, or time series analysis
- Proficiency in at least one data programming language (Python, R, JMP)
- Familiarity with common data science packages (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch)
- Strong team collaboration skills
- Excellent problem-solving and technical analysis abilities
- Excellent communication and presentation skills
Nice to have
- Experience with SQL, Hadoop, or Spark
- Background in semiconductor industry
- Demonstrated success delivering results on multiple projects in agile environments