Senior Applied Scientist, Translation Services
Amazon is seeking a Senior Applied Scientist for its Translation Services team in Hyderabad to drive innovation in multilingual e-commerce. The role involves architecting scalable machine learning models and applying advanced NLP and LLM techniques to optimize translation pipelines. Candidates will lead scientific agendas, mentor team members, and collaborate cross-functionally to influence product strategy. The team operates with a startup mindset, focusing on GenAI to minimize human intervention in translation processes.
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Experience
3+ years
Function
Research
Work mode
Onsite, India
Company
Tier 1
What you will work on
Amazon is seeking a Senior Applied Scientist for its Translation Services team in Hyderabad to drive innovation in multilingual e-commerce. The role involves architecting scalable machine learning models and applying advanced NLP and LLM techniques to optimize translation pipelines. Candidates will lead scientific agendas, mentor team members, and collaborate cross-functionally to influence product strategy. The team operates with a startup mindset, focusing on GenAI to minimize human intervention in translation processes.
TAL's take
High-impact senior role at a Tier-1 company working on core translation infrastructure and generative AI.
The JD provides a very clear breakdown of responsibilities, focus areas (NLP, LLMs), and team context.
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
- 3+ years building machine learning models for business applications
- PhD or Master's degree with 5+ years applied research experience
- Proficiency in Java, C++, or Python
- Experience with neural deep learning and machine learning
Tools and skills
Nice to have: r, scikit-learn, spark mllib, mxnet, tensorflow, numpy, scipy, hadoop, spark.
About the company
Amazon is a global FAANG company with a strong engineering brand.
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