Senior Machine Learning Engineer
1 week ago
About the Role
We are looking for a
Senior ML Research Engineer
to contribute to the design and implementation of
data-driven and simulation-based modeling frameworks
used to understand and optimize complex industrial processes.
This position suits engineers or researchers with strong analytical and computational backgrounds who enjoy solving physics-based modeling problems using modern machine-learning approaches.
Key Responsibilities
- Develop and maintain
simulation pipelines
and
data-analysis workflows
for high-precision manufacturing processes. - Apply
statistical and ML methods
to model parameter variability, correlations, and system behavior. - Design
data pre processing and feature-engineering
routines for large, heterogeneous datasets. - Implement, test, and benchmark
classification models
to support process optimization. - Collaborate with interdisciplinary teams to integrate modeling results into experimental validation or tool-level improvements.
- Document methodologies and present findings in concise technical reports or internal presentations.
Required Qualifications
- M.S. or Ph.D. in
Electrical Engineering, Physics, Computer Science, or related discipline
. - Minimum
3 years of experience
in computational modeling, data science, or applied machine learning. - Strong programming skills in
Python
(scientific computing stack, PyTorch or TensorFlow preferred). - Solid foundation in
statistics, optimization, and numerical analysis
. - Demonstrated ability to translate research concepts into working prototypes.
Preferred Qualifications
- Background in
industrial process control
,
simulation
, or
metrology data analytics
. - Experience with
Monte-Carlo modeling
,
probabilistic ML
, or
uncertainty quantification
. - Familiarity with high-performance computing or GPU-based model training.
- Prior collaboration with R&D or manufacturing teams in
semiconductor, materials, or photonics
industries is a plus.
-
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