Machine Learning Engineer II
USD 108K-160K (estimate) Entry-level Full Time
Tasks
- Apply machine learning algorithms to embedded systems
- Build and optimize machine learning models
- Collaborate with cross-functional teams
- Deploy machine learning solutions
- Develop and debug machine learning code
- Develop machine learning models
- Implement MLOps pipelines
- Innovate new machine learning solutions
- Monitor and scale deployed machine learning models
- Validate machine learning models
Perks/Benefits
- 401k savings plan
- Coffee service
- Dental insurance
- Education assistance
- Fitness Center
- Food service
- Health insurance
- Onsite wellness center
- Vision insurance
Skills/Tech-stack
Audio Processing | Calculus | Classification | Computer Vision | Convolutional Neural Networks | Deep learning | Dimensionality Reduction | Edge Computing | Embedded Systems | Forecasting | Language Processing | Linear Algebra | MLOps | Machine Learning | Matplotlib | Model Optimization | Natural Language | Natural Language Processing | Neural Networks | NumPy | Optimization | Pandas | PyTorch | Python | Regression | SLAM | Scikit-learn | Series modeling | Signal Processing | Statistics | Supervised Learning | TensorFlow | Time Series | Time Series Modeling | Transformers | Unsupervised Learning | Version control | Video Processing
Education
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