Member of Technical Staff- Machine Learning
Tasks
- Build deep learning model architectures
- Communicate technical trade offs and limitations
- Conduct error analysis
- Conduct security and privacy reviews for model data
- Define data collection and labeling priorities
- Deploy models using containerization
- Develop internal ML tooling
- Develop production machine learning models
- Document model governance and runbooks
- Implement machine learning pipelines
- Implement validation and monitoring
- Integrate models into production environments
- Mentor junior engineers
- Optimize model performance
- Optimize training and inference cost
- Orchestrate model training and inference
- Participate in design and code reviews
- Perform feature engineering
- Prototype and research novel model architectures
- Support reproducible training and evaluation
- Support transfer learning and fine tuning
Perks/Benefits
- Book clubs
- Collaborative workspaces
- Commuter support
- Employee assistance programs
- Employee resource groups
- External speakers
- Hackathons
- Tuition assistance
- Work-life balance
Skills/Tech-stack
AWS | CI/CD | Computer Vision | Containerization | Data Pipelines | Deep learning | 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
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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