Senior Applied AI/ML Scientist
San Francisco, California, United States - Remote
R
USD 190K-220K Senior-level Full Time
Tasks
- Apply generative modeling
- Apply supervised learning
- Apply unsupervised learning
- Build data pipelines
- Collaborate with scientists, engineers, and product teams
- Communicate model results to stakeholders
- Deploy machine learning models
- Develop machine learning models
- Develop model optimization workflows
- Evaluate model performance
- Integrate models into software platforms
- Perform feature engineering
- Support model deployment adoption and optimization
- Translate scientific problems into AI solutions
- Use optimization algorithms
Perks/Benefits
- 401k match
- Coworking access
- Dental insurance
- Disability insurance
- Equity package
- Health insurance
- Life insurance
- Paid time off
- Performance bonus
- Remote-first
- Vision insurance
Skills/Tech-stack
APIs | AWS | Azure | Cloud Computing | Cloud platform | Deep learning | Diffusion Models | Distributed Training | Feature Engineering | Generative Modeling | Geometric Deep Learning | Google Cloud | Google Cloud Platform | Graph Neural Networks | Keras | MLOps | Neural Networks | Optimization Algorithms | PyTorch | Python | Representation Learning | Scikit-learn | Statistical modeling | Supervised Learning | TensorFlow | Transformers | Uncertainty Quantification | Unsupervised Learning
Education
Roles
AI/ML Scientist | Applied AI/ML Scientist | ML Scientist | Scientist
Regions
Countries
States
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