Staff SW Engineer, Machine Learning
Tasks
- Build robust production analytics with infrastructure and quality engineering
- Collaborate on product strategy
- Conduct research in computer vision and time series
- Design and run experiments and train models
- Design machine learning solutions for satellite imagery analytics
- Develop algorithms and models for domain business problems
- Implement model and loss function code
- Implement production analytics and models in Python
- Interpret experiment results
Perks/Benefits
- 401k match
- Dental insurance
- Disability insurance
- Employee assistance program
- Employee stock purchase program
- Flexible spending account
- Health insurance
- Life insurance
- Mac or PC choice
- Paid time off
- Paid volunteer time
- Parental leave
- Professional development
- Remote work
- Vision insurance
Skills/Tech-stack
AWS | ClearML | Computer Vision | Deep learning | Docker | EC2 | GDAL | Geospatial Data | Keras | Kubeflow | Kubernetes | Language Models | Language Processing | Large Language Models | MLOps | MLflow | Machine Learning | Natural Language | Natural Language Processing | NumPy | Pandas | PyTorch | Python | Rasterio | S3 | Scikit-learn | Series analysis | Shapely | TensorFlow | Time Series | Time Series Analysis | Vision Language Models | Vision-language | Weights and Biases
Education
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