Senior Computer Vision Engineer
hace 2 días
Company Overview: Amazon is a global leader in e-commerce, cloud computing, and artificial intelligence. Our mission is to be Earth's most customer-centric company, where customers can find and discover anything they might want to buy online.
About the Role: We are seeking an experienced Applied Scientist with expertise in Computer Vision to join our Prime Video Sports tech team in Israel. As part of this team, you will be responsible for developing cutting-edge algorithms and end-to-end solutions for personalizing customer experiences and providing real-time insights using CV and ML techniques. You will work closely with cross-functional teams to drive innovation and scalability in our products.
Key Responsibilities:
- Design, develop, and deploy new algorithms and E2E solutions for Computer Vision tasks.
- Lead development of large-scale engineering and science projects from inception to delivery.
- Publish original research in top-tier conferences in Computer Vision and Machine Learning.
About the Team: The Prime Video Sports team is responsible for delivering live streaming experiences to millions of customers worldwide. With exclusive broadcasting rights to major leagues like NFL Thursday Night Football, Tennis major like Roland-Garros, and English Premium League, we are expanding the breadth and depth of our live content offerings. This is a transformative opportunity to revolutionize the live streaming experience of customers everywhere.
What We Offer:
- A highly competitive salary of approximately $140,000 per year (based on Tel Aviv location), reflecting your expertise and contributions to the team.
- A comprehensive benefits package, including medical, dental, and vision coverage, 401(k) matching, and stock options.
- The opportunity to work on cutting-edge projects that shape the future of entertainment and technology.
About Amazon:Amazon is committed to diversity, equity, and inclusion. We strive to create a workplace where everyone feels welcome, valued, and empowered to succeed. If you're passionate about computer vision, machine learning, and innovation, we encourage you to apply for this exciting opportunity.
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