Role OverviewWe are looking for a Senior Computer Vision Engineer to own applied model development across computer vision, machine learning, and data science use cases. You will evaluate and fine-tune model architectures using PyTorch and TensorFlow, build broader ML models for forecasting and anomaly detection, and apply practical knowledge of computer vision hardware including cameras, sensors, and edge devices.
What You Will Do
- Own the applied model development process across computer vision, AI/ML, and broader data science use cases; - Translate complex business problems into viable, practical, and scalable AI/ML solutions; - Evaluate various model options, train and fine-tune selected architectures, and rigorously analyze model performance;
Why It Might Be a Fit
You must be authorized to work for ANY employer in the US, have 3 to 5 years of professional experience in Computer Vision, Machine Learning, Data Science, or a related field, and a degree in Computer Science, Engineering, Data Science, Mathematics, or a related discipline (or equivalent practical experience).
Requirements
- Authorized to work for ANY employer in the US
- 3 to 5 years of professional experience in Computer Vision, Machine Learning, Data Science, or a related field
- Degree in Computer Science, Engineering, Data Science, Mathematics, or a related discipline (or equivalent practical experience)
- Strong, production-level proficiency in Python
- Deep hands-on experience with leading deep learning frameworks, specifically PyTorch and/or TensorFlow
- Proven track record of building and deploying models for detection, segmentation, classification, and image/video analysis
- Solid understanding of broader ML and data science techniques (time-series modeling, forecasting, anomaly detection, regression, and clustering)
- Upper-intermediate English level
Benefits
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets
- Exciting projects: Modern solutions with Fortune 500 and top product companies
- Flextime: Flexible schedule with remote and office options
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