Senior Data Scientist
(USA) Crossman Respect Building CA SUNNYVALE Home Office, United States
USD 171K-234K Senior-level Full Time
Tasks
- Adapt deep learning models for low latency production
- Build deep learning algorithms for large scale models
- Conduct deep learning and machine learning research from literature
- Design deep learning neural network architectures
- Develop machine learning pipelines for training data and deployment
- Fine tune foundation large language models using RLHF
- Monitor and maintain machine learning models in production
- Perform data analysis and preliminary model development
- Query data using SQL and build proof of concept feasibility
- Support production models processing large scale catalog data
- Train deep learning models for high precision and recall
Perks/Benefits
- 401k
- Company discounts
- Company paid life insurance
- Education assistance
- Life insurance
- Medical/Dental/Vision insurance
- Paid time off
- Parental leave
- Stock purchase
Skills/Tech-stack
AWS | Anomaly Detection | Apache Hive | Cloud platform | Computer Vision | Convolutional Neural Networks | Data Curation | Data Visualization | DeepLab | GPU clusters | Google Cloud | Google Cloud Platform | Google Vertex | Google Vertex AI | Human Feedback | Image Segmentation | Java | Keras | Learning from Human Feedback | Low Latency | Low-Latency Systems | MLflow | Machine Learning | Machine Learning Pipelines | Matplotlib | Model Deployment | Neural Networks | Object recognition | OpenCV | Pandas | PointNet | Predictive Analytics | PySpark | PyTorch | Python | Recurrent Neural Networks | Reinforcement Learning | Reinforcement Learning from Human Feedback | SQL | Scikit-learn | Seaborn | Spatial analysis | Tableau | TensorFlow | Vertex AI
Education
Roles
Regions
Countries
States
Cities
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