Tasks:
- * Analyze data and optimize algorithm performance
- * Build inference pipelines and integrate modules
- * Design automotive intelligent application algorithms
- * Document technical work and contribute patents
- * Improve model effectiveness
- * Select and implement algorithms
- * Train and evaluate models
- * Tune performance and troubleshoot integration issues
Perks/Benefits:
Skills/Tech stack required:
[Algorithm Implementation] [Algorithm Integration] [C/C++] [Data Processing] [Data Structures] [Data Structures and Algorithms] [Hyperparameter Tuning] [Inference Pipelines] [Linear Algebra] [MATLAB] [Model Evaluation] [Model Training] [Performance Profiling] [Probability and statistics] [Python] [PyTorch] [SQL] [TensorFlow]
Educational requirements:
[Master's Degree]
Role(s):
[Algorithm Engineer] [Automotive Algorithm Engineer] [Engineer] [Learning Engineer] [Machine Learning Engineer]