Engineering Manager, Computer Vision
Tasks
- Architect computer vision modeling improvements
- Deploy models to production
- Detect and address model drift
- Develop training pipelines
- Drive inference optimization and efficiency
- Evaluate and monitor model performance
- Improve model accuracy robustness and generalization
- Lead ML Vision team
- Manage model retraining lifecycle
- Mentor and grow engineers
- Oversee data strategy for machine learning
- Perform code reviews and architectural guidance
- Plan ML initiatives and roadmap execution
- Remove engineering and ML roadblocks
- Set technical direction for model development
Perks/Benefits
- Caregiver support
- Company holidays
- Dental insurance
- Flexible PTO
- HSA match
- Health insurance
- Home office stipend
- Mental health benefits
- Parental leave
- Productivity stipend
- Vision insurance
- Work from home stipend
Skills/Tech-stack
Computer Vision | Data strategy | Distributed Training | Drift Detection | Fine Tuning | GPU Training | Inference Optimization | Jira | Knowledge Distillation | Machine Learning | Model Compression | Model Deployment | Model Drift | Model Drift Detection | Model Evaluation | Model Fine-tuning | Model Monitoring | Model Training | Model retraining | Multi-GPU | Multi-GPU Training | Pruning | PyTorch | Python | Quantization
Education
N/A
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