Sr. Applied Scientist, SSG Science
Skills
About the role
This is a senior applied science role in Bengaluru focused on optimizing generative-AI models for edge devices. You’ll work on model compression, inference performance, and custom model training alongside compiler engineers, hardware architects, and product teams. The position is part of Amazon’s device research organization and requires production machine-learning experience.
What you’ll do
- Quantize, prune, distill, and fine-tune generative-AI models for edge hardware.
- Study the Neural Edge Engine and develop optimization methods.
- Analyze deep-learning workloads for hardware mapping.
- Train models intended to reach production quality.
- Collaborate with compiler, hardware, science, and product teams.
- Publish research and represent Amazon at machine-learning conferences.
What they’re looking for
- At least three years building machine-learning models for business applications.
- A PhD, or a master’s degree with at least four years of applied research experience.
- Programming experience in Java, C++, Python, or a related language.
- Experience with neural deep-learning and machine-learning methods.
- Experience taking ML models through development and deployment.
Nice to have
- Experience with inference optimization methods such as mixture-of-experts or diffusion models for language generation.
What’s on offer
- Permanent, full-time employment.
- The role is based in Bengaluru, India.
- The work involves edge AI for consumer devices and participation in open-source and conference activities.
Questions about this role
Where is this role based?
The role is based in Bengaluru, India.
How much experience is required?
The posting asks for at least three years building machine-learning models for business applications.
What education is required?
A PhD is required, or a master’s degree together with at least four years of applied research experience.
Which programming languages are accepted?
The posting names Java, C++, and Python, among related languages.
Related roles
Applied Scientist II, IN SPS Tech
Onsite Applied Scientist II role in Bengaluru focused on machine learning, optimization, and scalable inference for Amazon Marketplace seller services. The role suits a scientist with a relevant master's degree and at least three years of applied machine-learning experience.
Applied Scientist II, Amazon Search
Full-time Applied Scientist II role in Bengaluru focused on multilingual search relevance, semantic matching, ranking, and low-latency production models. It suits machine-learning researchers with advanced academic training and experience delivering business-facing models.
Applied Scientist II, On Road Experience
Full-time Applied Scientist II role in Bengaluru developing machine-learning and computer-vision systems for last-mile delivery. It suits researchers with advanced academic training, published or patented work, and experience taking models into business applications.
Applied Scientist
Applied Scientist role in Bengaluru focused on machine learning, optimization, and sequential decision systems. The role suits someone who can turn ambiguous decision problems into production solutions.
Applications Scientist (Remote)
IDT is hiring a Belgium-based remote Applications Scientist to support genomics customers with product use, assay design, troubleshooting, and training. The role requires a relevant bachelor’s degree and at least three years of genomics-application experience.
Applied Scientist, International Machine Learning
An Applied Scientist role on Amazon's India-focused Machine Learning team in Bengaluru, building recommendation, fraud and catalog-quality systems.