Sr. Applied Scientist, SSG Science
Amazon · Bangalore, India · Hardware Development
senior
machine learning
Applied Scientist
ic
3+ yrs Master's
· Posted Oct 28, 2025
Skills
About this role
Amazon is hiring a senior-level Applied Scientist in the machine learning function based in Bangalore, India. The posting calls out experience with Python, Java, R, Spark and roughly 3+ years of relevant work. Listed education preference: a master's degree or equivalent.
- Role
- Applied Scientist
- Function
- machine learning
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Bangalore, India
- Experience
- 3+ years
- Education
- Master's degree
- Department
- Hardware Development
- Posted
- Oct 28, 2025
AI Summary
Optimize generative AI models for edge devices through quantization, pruning, and distillation techniques. Collaborate with hardware architects and compiler engineers to deploy state-of-the-art models on Amazon's Neural Edge Engine. Requires 3+ years ML experience and expertise in deep learning frameworks.
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Job description
from Amazon careersAmazon Devices is an inventive research and development company that designs and engineer high-profile devices like the Kindle family of products, Fire Tablets, Fire TV, Health Wellness, Amazon Echo & Astro products. This is an exciting opportunity to join Amazon in developing state-of-the-art techniques that bring Gen AI on edge for our consumer products. We are looking for exceptional scientists to join our Applied Science team and help develop the next generation of edge models, and optimize them while doing co-designed with custom ML HW based on a revolutionary architecture. Work hard. Have Fun. Make History.
Key job responsibilities
What will you do?
- Quantize, prune, distill, finetune Gen AI models to optimize for edge platforms
- Fundamentally understand Amazon’s underlying Neural Edge Engine to invent optimization techniques
- Analyze deep learning workloads and provide guidance to map them to Amazon’s Neural Edge Engine
- Use first principles of Information Theory, Scientific Computing, Deep Learning Theory, Non Equilibrium Thermodynamics
- Train custom Gen AI models that beat SOTA and paves path for developing production models
- Collaborate closely with compiler engineers, fellow Applied Scientists, Hardware Architects and product teams to build the best ML-centric solutions for our devices
- Publish in open source and present on Amazon's behalf at key ML conferences - NeurIPS, ICLR, MLSys.
Key job responsibilities
What will you do?
- Quantize, prune, distill, finetune Gen AI models to optimize for edge platforms
- Fundamentally understand Amazon’s underlying Neural Edge Engine to invent optimization techniques
- Analyze deep learning workloads and provide guidance to map them to Amazon’s Neural Edge Engine
- Use first principles of Information Theory, Scientific Computing, Deep Learning Theory, Non Equilibrium Thermodynamics
- Train custom Gen AI models that beat SOTA and paves path for developing production models
- Collaborate closely with compiler engineers, fellow Applied Scientists, Hardware Architects and product teams to build the best ML-centric solutions for our devices
- Publish in open source and present on Amazon's behalf at key ML conferences - NeurIPS, ICLR, MLSys.
Basic Qualifications
This is an excerpt. Read the full job description on Amazon careers →