Sr. Manager, Applied Science, Selection Monitoring
Amazon
Sr. Manager, Applied Science, Selection Monitoring
Job Description
The Amazon Selection and Catalog Systems team (ASCS) builds global selection and catalog management systems. The Selection Monitoring team is responsible for building the biggest product selection on the planet to satisfy our customers’ all shopping needs. We build platforms, systems and tools to create and take advantage of datasets that contains billions of records, use the latest machine learning, data processing technologies and a broad set of AWS technologies. In order to drive the expansion of Amazon selection, we use cluster-computing technologies such as MapReduce and Spark to process billions of products and find the products/brands not already sold on Amazon. We work with structured and unstructured content such as text and images and apply Machine Learning algorithms such as Clustering, Natural Language processing, Fuzzy matching and Image processing at a massive scale.We are looking for a Senior Manager, Applied Science to tackle ambiguous problems in the areas of data processing, machine learning algorithms and distributed systems of cloud-scale. You are expected to take ownership, dive deep and drive solutions from developing prototypes, doing experiments, design to coding, testing and deployment. The role demands innovation and expects you to push the boundaries. You will get opportunity to work with many tech teams and business teams within Amazon and deliver solutions that will have an impact to both Amazon top-line & bottom line.
Locations
- India, KA, Bangalore, Bengaluru, KA, India
Salary
Estimated Salary Rangehigh confidence
120,000 - 200,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 5+ years of scientists or machine learning engineers management experienceintermediate
- - Knowledge of ML, LLM, NLP, Information Retrieval and Analyticsintermediate
Required Qualifications
- - 5+ years of scientists or machine learning engineers management experience (experience, 5 years)
- - Knowledge of ML, LLM, NLP, Information Retrieval and Analytics (experience)
Preferred Qualifications
- - Experience building machine learning models or developing algorithms for business application (experience)
- - Experience building complex software systems, especially involving deep learning, machine learning, large language model, and computer vision, that have been successfully delivered to customers (experience)
- - Experience directly managing scientists or machine learning engineers (5+ years) (experience, 5 years)
- - Experience directly managing science managers (2+ years) (experience, 2 years)
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Sr. Manager, Applied Science, Selection Monitoring
Amazon
Sr. Manager, Applied Science, Selection Monitoring
Job Description
The Amazon Selection and Catalog Systems team (ASCS) builds global selection and catalog management systems. The Selection Monitoring team is responsible for building the biggest product selection on the planet to satisfy our customers’ all shopping needs. We build platforms, systems and tools to create and take advantage of datasets that contains billions of records, use the latest machine learning, data processing technologies and a broad set of AWS technologies. In order to drive the expansion of Amazon selection, we use cluster-computing technologies such as MapReduce and Spark to process billions of products and find the products/brands not already sold on Amazon. We work with structured and unstructured content such as text and images and apply Machine Learning algorithms such as Clustering, Natural Language processing, Fuzzy matching and Image processing at a massive scale.We are looking for a Senior Manager, Applied Science to tackle ambiguous problems in the areas of data processing, machine learning algorithms and distributed systems of cloud-scale. You are expected to take ownership, dive deep and drive solutions from developing prototypes, doing experiments, design to coding, testing and deployment. The role demands innovation and expects you to push the boundaries. You will get opportunity to work with many tech teams and business teams within Amazon and deliver solutions that will have an impact to both Amazon top-line & bottom line.
Locations
- India, KA, Bangalore, Bengaluru, KA, India
Salary
Estimated Salary Rangehigh confidence
120,000 - 200,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 5+ years of scientists or machine learning engineers management experienceintermediate
- - Knowledge of ML, LLM, NLP, Information Retrieval and Analyticsintermediate
Required Qualifications
- - 5+ years of scientists or machine learning engineers management experience (experience, 5 years)
- - Knowledge of ML, LLM, NLP, Information Retrieval and Analytics (experience)
Preferred Qualifications
- - Experience building machine learning models or developing algorithms for business application (experience)
- - Experience building complex software systems, especially involving deep learning, machine learning, large language model, and computer vision, that have been successfully delivered to customers (experience)
- - Experience directly managing scientists or machine learning engineers (5+ years) (experience, 5 years)
- - Experience directly managing science managers (2+ years) (experience, 2 years)
Tags & Categories
Answer 10 quick questions to check your fit for Sr. Manager, Applied Science, Selection Monitoring @ Amazon.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs