Senior Applied Scientist, Sponsored TV Innovation
4 weeks ago
We are seeking a highly skilled Senior Applied Scientist to join our Sponsored TV team at Amazon Ads. As a key member of our team, you will be responsible for developing and deploying innovative machine learning solutions to drive business growth and improve customer experience.
As a Senior Applied Scientist, you will work closely with cross-functional teams to design and implement cutting-edge machine learning models that meet the needs of our customers and business stakeholders. You will be responsible for leading the development of new features and products, as well as improving the performance and scalability of our existing solutions.
Key Responsibilities:
- Develop and deploy machine learning models that drive business growth and improve customer experience
- Lead the development of new features and products, as well as improve the performance and scalability of existing solutions
- Collaborate with cross-functional teams to design and implement machine learning solutions
- Conduct research and development of new machine learning techniques and technologies
Requirements:
- Ph.D. in Machine Learning, Computer Science, or related disciplines
- 10+ years of applied ML experience in delivering ML-based solutions to solve real-world problems and achieve business goals, at a very large scale
- 2+ years of hands-on experience leading multiple ML teams to design products that satisfy a customer need
- Published research work in academic conferences or industry circles
- Experience shipping large-scale deep learning models for online recommendation, personalization, or search
- Experience partnering with engineering teams to ensure deep learning solutions meet latency requirements
- Experience influencing product strategy through cutting-edge research in deep learning
- Effective verbal and written skills in communicating with both non-technical and technical audiences
- Excellent business judgment; the ability to balance business, product, and technology priorities
- Expert in machine learning, statistics, and experiment design
- Experience hiring and building teams of applied scientists
- Experience collaborating and influencing cross-functionally across science, engineering, economics, and business teams
What We Offer:
- Competitive salary and benefits package
- Opportunity to work on cutting-edge machine learning projects
- Collaborative and dynamic work environment
- Professional development opportunities
Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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