Senior Applied Scientist, Amazon Alexa Smart Home (Multimodal LLMs and Vision), Bengaluru
Job Description
Amazon’s Alexa Smart Home team is hiring a senior applied scientist in Bengaluru to build the next generation of smart home experiences with multimodal large language models and computer vision. The work spans LLM training and inference for home control and automation, video summarisation and search for home cameras, and synthetic data generation for training large models.
At a glance
- Role: Senior Applied Scientist, Alexa Smart Home
- Posted: 15 July 2026
- Focus: Multimodal LLMs, vision-language models, video understanding, smart home automation
- Location: Bengaluru, Karnataka, India
- Job ID: 10474742
- Apply: open until filled (re-checked 13 October 2026)
About the Alexa Smart Home science role
- Develop new training and inference techniques to improve LLMs for smart home control and automation
- Solve problems in computer vision, video summarisation and video search
- Develop synthetic data generation methods for training large models while keeping them general
- Mentor junior scientists
What Amazon is looking for
- At least 4 years of building machine learning models for business applications
- A PhD, or a master’s degree and at least 6 years of applied research experience
- Programming in Java, C++, Python or a related language
- Experience with neural deep learning methods and machine learning
Nice to have
- Modelling tools such as R, scikit-learn, Spark MLlib, MXNet, TensorFlow, NumPy and SciPy
- Experience with AI and ML technologies
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
- Vision-language models: revise how VLMs are trained and adapted for video.
- Synthetic data: be ready to discuss how synthetic data can help or hurt generalisation.
- On-device limits: think about latency and privacy for home camera features.
- Mentoring: prepare examples of growing junior scientists.
- 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.
