Machine Learning Engineer - Data & Annotation Platforms
Santa Clara, CA
A USD 120K-190K Mid-level Full Time Found 8d ago
Tasks
- Build models for user interest and content relevancy
- Collaborate on data collection, cleaning, and analysis
- Design data pipelines and architectures
- Design solutions for large-scale data platforms and pipelines
- Develop and deploy ML models
- Implement end-to-end ML development using Agile
- Improve ML solutions for data annotation
- Translate business requirements into ML solutions
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | B testing | Data Analysis | Data Manipulation | Data Pipeline Architecture | Data Structures | Data Visualization | Data pipeline | Learning algorithms | ML deployment | Machine Learning | Machine learning algorithms | Matplotlib | NumPy | Pandas | Pipeline architecture | PyTorch | Python | Scikit-learn | Statistical Models | TensorFlow | Version control
Education
Regions
Countries
States
Cities
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