Research Scientist - Computer Vision and Machine Learning
Tasks
- Automate training evaluation packaging and deployment
- Build robust models for noisy sparse data
- Conduct original research in computer vision and machine learning
- Design experiments benchmarking and error analysis
- Develop research software with code review testing documentation version control and traceability
- Develop test and evaluate computer vision algorithms
- Implement reproducible MLOps workflows for data preparation experiment tracking and model versioning
- Present results and publish in peer reviewed venues
- Provide technical leadership and guidance to engineering teams
Perks/Benefits
- 401k
- Education reimbursement program
- Flexible schedules
- Hybrid schedule
- Relocation assistance
- Work from home flexibility
Skills/Tech-stack
Anomaly Detection | Automated testing | Benchmarking | Computer Vision | Data Preparation | Dataset versioning | Distributed Training | Experiment tracking | Image Processing | Image Segmentation | MLOps | Machine Learning | Model versioning | Multimodal Learning | Multimodal fusion | Multitask Learning | Object Tracking | PyTorch | Python | Scene Understanding | Temporal reasoning | TensorFlow
Education
Regions
Countries
States
Cities
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