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Tier-1 brand, metro location, and mid-level experience increase competition despite research specialization.
Specialized ML research, edge optimization, and HW co-design needs limit transferability across industries.
Mandates PhD/Master+4, publications, and specialized ML and hardware skills, so shortlisting is strict.
Optimize and adapt Gen AI models for edge platforms through quantization, pruning, distillation, and fine-tuning.
Develop and invent new optimization techniques based on Amazon’s Neural Edge Engine architecture.
Collaborate with cross-functional teams including compiler engineers, hardware architects, and product teams to deliver ML solutions for Amazon Devices.
PhD, or Master's degree with 4+ years experience in CS, CE, ML or related field.
Minimum 2 years experience building models for business applications.
Proficiency in programming languages such as Java, C++, or Python.
Experience with algorithms, numerical optimization, data mining, or related computational fields.
Demonstrated ability to publish or patent research in top-tier conferences or journals, indicating strong research and innovation skills.
Experience integrating ML models with hardware and software systems for production level deployment.
Skilled in interdisciplinary approaches combining deep learning, scientific computing, and optimization to advance next-gen AI models on edge devices.