Applied Scientist II, SSG Science
Skills
About the role
This is an applied scientist role for an India-based researcher developing and optimizing generative-AI models for edge consumer devices. You’ll work on model compression, hardware-aware inference, mathematical analysis, and production model development with scientists, compiler engineers, and hardware architects. The role also values research output through patents, publications, open-source work, and conference presentations.
What you’ll do
- Quantize, prune, distill, and fine-tune generative-AI models for edge platforms.
- Develop optimization techniques for Amazon’s Neural Edge Engine.
- Map deep-learning workloads to custom machine-learning hardware.
- Use information theory, scientific computing, and deep-learning theory in research.
- Train models intended for production use.
- Work with compiler, hardware, and product teams.
- Publish research and present at major machine-learning conferences.
What they’re looking for
- At least two years building models for business applications.
- A PhD, or a master’s degree with at least four years in computer science, computer engineering, machine learning, or a related field.
- Experience with patents or publications in strong peer-reviewed venues.
- Programming ability in Java, C++, Python, or a related language.
- Knowledge of algorithms, numerical optimization, data mining, parallel computing, or high-performance computing.
- A strong foundation in linear algebra, calculus, and related mathematics.
Nice to have
- Professional software development experience.
- Experience deploying ML models and managing their lifecycle.
What’s on offer
- Permanent, full-time employment.
- The role is open in India.
- The work focuses on edge AI for consumer products.
Questions about this role
Where is this role located?
The listing identifies India as the role location.
How much experience is required?
The posting asks for at least two years building models for business applications, plus a PhD or a master’s degree with four years of relevant experience.
What education is required?
A PhD is required, or a master’s degree in a related field with the specified experience.
Are publications required?
Yes. Experience with patents or publications at top-tier peer-reviewed conferences or journals is listed as a basic qualification.
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