Quick summary
- Work type
- Hybrid
- Location
- —
- Posted
- 58 days ago
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Salary context
How this pay compares to similar roles
This listing doesn't post a salary. Most similar roles pay $162,000–$234,150.
Based on 240 similar postings.
Employer
About Lam Research
Lam Research Corporation is a leading American supplier of wafer-fabrication equipment and services to the global semiconductor industry.
Lam Research currently has 376 open roles on FindRole.
Listed pay typically runs $105,000–$231,000 across 184 roles with salary data.
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At a glance
TL;DR · Careers
As a Data Scientist at Semiverse® Solutions within Lam Research, you will join a dynamic team focused on advancing semiconductor technology through innovative software solutions. Your primary responsibility involves developing machine learning models to extract insights from complex multi-physics simulations and experimental data, driving the entire lifecycle of these projects from concept to deployment. You will analyze large datasets, design robust ML models using frameworks like PyTorch or Tensorflow, and collaborate with engineering teams to integrate your models into production systems while maintaining high code quality standards. Additionally, you will communicate technical findings effectively to both technical and non-technical stakeholders. Ideal candidates hold a master’s degree or Ph.D. in a quantitative field, possess strong Python programming skills, and have experience in machine learning algorithms and multi-physics simulations relevant to the semiconductor industry.
Skills
What you'll do
- Analyze complex datasets from diverse sources to identify trends and opportunities.
- Design and build robust machine learning and deep learning models for semiconductor challenges.
- Engineer features and rigorously evaluate models through hyperparameter optimization and testing.
- Integrate machine learning models into production codebase with a focus on maintainability.
- Communicate technical findings effectively to both technical and non-technical stakeholders.
What we're looking for
- Master’s degree with 3 years of experience or Ph.D. in a quantitative field.
- Expertise in machine learning algorithms, deep learning, statistics, and optimization.
- Proficiency in Python for developing efficient, maintainable code.
- Experience with ML frameworks like PyTorch, JAX, or TensorFlow.
- Domain knowledge in semiconductor engineering or multi-physics simulations.
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Lam Research