Applied Scientist II, Amazon Smart Vehicles (LLMs for In-Car Experiences), Bengaluru
Job Description
The Amazon Smart Vehicles science team is hiring an Applied Scientist II in LLMs for in-car experiences in Bengaluru. The work creates personalised services that keep drivers and passengers informed, entertained, productive and safe, using language and multimodal technology in Amazon products.
At a glance
- Role: Applied Scientist II, Amazon Smart Vehicles (ASV)
- Location: Bengaluru, Karnataka, India
- Posted: 11 August 2026
- Experience: 3+ years building models for business use; PhD, or a master’s degree plus 4+ years in CS, CE, ML or a related field
- Job ID: 10498968
- Apply: open until filled (re-checked 13 October 2026)
About the LLMs for in-car experiences role
- Use Amazon’s data sources and large-scale compute to advance generative AI
- Lead the development of new algorithms and modelling techniques with LLMs
- Drive research ideas through to production with a high level of independence
- Work with other science and engineering teams and business stakeholders
What Amazon is looking for
- 3+ years building models for business applications
- A PhD, or a master’s degree and 4+ years in CS, CE, ML or a related field
- Patents or publications at top peer-reviewed venues
- Programming in Java, C++, Python or similar
- Experience in algorithms and data structures, parsing, numerical optimisation, data mining, or parallel, distributed or high-performance computing
Nice to have
- Applying theoretical models in an applied setting
- Professional software development experience
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.
See all our artificial intelligence jobs, or browse more research jobs on ResearchJobs.in.
Hiring institution: Amazon
Official advertisement: www.amazon.jobs
How to prepare for this application
- LLM personalisation: revise retrieval-augmented generation, fine-tuning and preference optimisation.
- Safety in context: think about how an assistant should behave differently while someone is driving.
- Multimodal inputs: vehicles add location, time and sensor context; consider how to use them.
- Research to product: bring an example of shipping an LLM feature.
- 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 and Gurugram. Applied scientists work on machine learning problems across retail, logistics, advertising, devices and cloud services.
