Applied Scientist, Amazon Trust CX Innovations and AI Policy (Alexa+), Bengaluru
Job Description
Amazon’s Trust CX Innovations team, part of Devices and Services, is hiring an applied scientist with a strong background in generative AI to build solutions that uphold customer trust for Alexa+. The role leads research in trust-preserving machine learning, covering LLMs and multimodal models, AI safety and alignment, and responsible AI, and works at the intersection of AI, privacy engineering and customer-centred design.
At a glance
- Role: Applied Scientist, Trust CX Innovations & AI Policy
- Posted: 25 June 2026
- Focus: Generative AI, AI safety and alignment, privacy, responsible AI
- Location: Bengaluru, Karnataka, India
- Job ID: 10459297
- Apply: open until filled (re-checked 13 October 2026)
About the trust and AI policy science role
- Lead generative AI research on LLMs, multimodal models and frontier capabilities
- Develop model optimisation methods such as prompt engineering, few-shot learning and efficient fine-tuning
- Develop new methods for AI safety, alignment and responsible AI
- Design experiments to evaluate model behaviour, and lead production-ready solutions
- Write papers for top conferences and file patents
What Amazon is looking for
- At least 3 years of building models for business applications
- A PhD, or a master’s degree and at least 4 years of experience in CS, CE, ML or a related field
- Patents or publications at top peer-reviewed conferences or journals
- Programming in Java, C++, Python or a related language
Nice to have
- Professional software development experience
- A background in AI safety and alignment research
Pay and location
Amazon’s posting does not state a salary; pay is discussed during the hiring process. The role is based in Bengaluru, India.
How to apply
Apply through the official Amazon job posting. Amazon’s posting does not give a closing date, so the role is open until filled; ResearchJobs.in will re-check this listing on 13 October 2026. Amazon lists the minimum and preferred qualifications on the posting; read both before applying. Check the posting for location and work-authorisation details before you apply.
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Hiring institution: Amazon
Official advertisement: www.amazon.jobs
How to prepare for this application
- Safety research: revise red-teaming, preference optimisation and evaluation of harmful outputs.
- Privacy: think about privacy-preserving ML and how an assistant should handle personal data.
- Experiment design: be ready to design an evaluation for a model behaviour change.
- Cross-team work: the role works with policy, annotation and engineering teams; prepare examples.
- Leadership Principles: Amazon interviews lean on them; prepare two or three STAR stories for each.
About Amazon in India
Amazon runs large science and engineering teams in India, including in Bengaluru, Hyderabad, Chennai, Pune and Gurugram. Applied scientists and data scientists work on machine learning problems across retail, logistics, advertising, devices, payments and cloud services.
