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Senior Machine Learning Scientist, Targeting Program Lead
2 months ago
About the Role
We are seeking a highly skilled Principal Applied Scientist to join our ADSP team at Amazon Development Centre (Scotland) Limited. As a key member of our team, you will be responsible for developing and implementing advanced machine learning models to optimize our targeting program.
Key Responsibilities
- Design and develop large-scale machine learning models to improve targeting accuracy and efficiency
- Collaborate with cross-functional teams to integrate machine learning solutions into our advertising platform
- Lead and mentor junior scientists to develop their skills and expertise
- Conduct thorough analysis and evaluation of machine learning models to ensure high-quality results
- Develop and maintain technical documentation to ensure knowledge sharing and reuse
Requirements
- Ph.D. degree in Computer Science, Data Science, or related field
- Experience building large-scale machine learning based products
- Experience leading and mentoring other machine learning scientists
- Demonstrated history of delivering large-scale, high-quality ML projects
- Demonstrated track record of applying ML techniques to deliver measurable business impact
Preferred Qualifications
- Experience in advertising technologies, recommender systems, or search
- Experience operating in an ambiguous environment across multiple teams
- Solid experience collaborating with engineering teams to adapt deep learning solutions to meet strict latency targets
- Demonstrated ability to shape product strategy with innovative research in deep learning
About Amazon Development Centre (Scotland) Limited
Amazon Development Centre (Scotland) Limited is a leading technology company that is committed to innovation and excellence. We offer a dynamic and collaborative work environment that fosters growth and development. If you are a highly skilled and motivated individual who is passionate about machine learning and advertising, we encourage you to apply for this exciting opportunity.
