Senior Member of Technical Staff- Machine Learning
Tasks
- Build machine learning and deep learning solutions
- Collaborate with product and clinical teams
- Conduct error analysis
- Contribute to model governance documentation
- Define data collection and labeling priorities
- Deploy models to production
- Design machine learning models
- Develop data pipelines and feature engineering workflows
- Develop reproducible training and evaluation tooling
- Evaluate model performance
- Implement neural network architectures
- Implement validation and monitoring
- Integrate models using containerization
- Mentor junior engineers
- Optimize training and inference performance
- Orchestrate production deployments using CI CD
- Participate in security and privacy reviews
- Perform prompt engineering for Generative AI
- Prototype Generative AI solutions
- Support fine tuning and transfer learning
Perks/Benefits
- Collaborative workspaces
- Commuter support
- Employee assistance program
- Employee resource groups
- Flexible work options
- Tuition assistance
Skills/Tech-stack
Amazon Web Services | CI/CD | Computer Vision | Containerization | Data Pipelines | Deep learning | EKS | Error Analysis | Feature Engineering | Fine Tuning | Generative AI | Kubeflow | Kubernetes | Language Models | Language Processing | Large Language Models | Linux | Machine Learning | Model Evaluation | Model Monitoring | Natural Language | Natural Language Processing | Neural Networks | Prompt engineering | PyTorch | Python | SQL | TensorFlow | Transfer Learning | Transformers | Validation | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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