Applied Scientist, Alexa Ads
Amazon is seeking an Applied Scientist to join the Alexa Ads team in India to build generative AI models for personalization and advertising. The role involves designing and deploying ML and deep learning models for NLP and recommendation systems. Candidates will collaborate with engineers to take models from conception to production in a high-scale environment. The position requires a solid background in ML fundamentals and experience with large-scale data pipelines.
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Experience
2+ years
Function
Research
Work mode
Onsite, India
Company
Tier 1
What you will work on
Amazon is seeking an Applied Scientist to join the Alexa Ads team in India to build generative AI models for personalization and advertising. The role involves designing and deploying ML and deep learning models for NLP and recommendation systems. Candidates will collaborate with engineers to take models from conception to production in a high-scale environment. The position requires a solid background in ML fundamentals and experience with large-scale data pipelines.
TAL's take
High-caliber role at a Tier 1 company focused on generative AI and personalization for Alexa.
The JD clearly defines the role, team context, required stack, and specific ML-focused responsibilities.
Salaries at Amazon
25.8 LPA average
Based on 3,341 Grapevine salary entries for Amazon.
Research
0 - 2 years | L3
5 LPA average
Range: 5 - 5 LPA
Research
2 - 4 years | L4
52 LPA average
Range: 36 - 60 LPA
Research
4 - 6 years | L5
15 LPA average
Range: 15 - 15 LPA
Research
6 - 8 years | L4
41 LPA average
Range: 24 - 60 LPA
Must haves
- Proficiency in Java, C++, or Python
- Experience with SQL and RDBMS
- 1+ years of building models for business applications
- Master's degree with 2+ years of relevant experience
- Fundamentals of Machine Learning and LLMs
Tools and skills
Nice to have: ad tech, dsp, rtb, bid shading, ad verification, ad attribution.
About the company
Amazon is a global FAANG company with a strong engineering brand.
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