Applied Scientist, Amazon Music
Amazon · Bangalore, India · Applied Science
mid
machine learning
Applied Scientist
ic
3+ yrs Master's
· Posted Feb 25, 2026
Skills
About this role
Amazon is hiring a mid-level Applied Scientist in the machine learning function based in Bangalore, India. The posting calls out experience with Python, Java, NLP, Computer Vision and roughly 3+ years of relevant work. Listed education preference: a master's degree or equivalent.
- Role
- Applied Scientist
- Function
- machine learning
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Bangalore, India
- Experience
- 3+ years
- Education
- Master's degree
- Department
- Applied Science
- Posted
- Feb 25, 2026
AI Summary
Applied Scientist II designs, trains, and deploys machine learning models using large-scale datasets to solve business problems. Requires 3+ years building models for business applications and a PhD or Master's degree with 4+ years CS/ML experience. Collaborates with scientists, engineers, and product managers on supervised/unsupervised learning, NLP, computer vision, or optimization projects.
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Job description
from Amazon careersAre you passionate about applying machine learning and data-driven techniques to solve real-world problems at global scale? Amazon is seeking an Applied Scientist who combines curiosity, creativity, and strong analytical skills to build models and algorithms that power customer experiences and business decisions.
As an Applied Scientist II, you will work with senior scientists and engineers to design, train, and deploy ML models using large-scale datasets. You will experiment with modern techniques in supervised and unsupervised learning, natural language processing, computer vision, or optimization—depending on the team’s focus area. You’ll also have opportunities to learn Amazon’s scalable infrastructure, experiment platforms, and science best practices.
This role is ideal for someone early in their career who enjoys working in collaborative, multidisciplinary teams and is excited by the opportunity to learn, innovate, and deliver measurable impact to customers.
Key job responsibilities
1.Collaborate with scientists, engineers, and product managers to define and frame business problems as ML or optimization tasks.
2.Build, train, and evaluate models using large, complex datasets.
3.Implement scalable data pipelines and model-serving systems.
4.Analyze experimental results, draw insights, and refine models to improve accuracy and robustness.
5.Communicate findings and recommendations to technical and non-technical audiences.
6.Continuously learn and apply new algorithms and techniques to improve existing systems.
As an Applied Scientist II, you will work with senior scientists and engineers to design, train, and deploy ML models using large-scale datasets. You will experiment with modern techniques in supervised and unsupervised learning, natural language processing, computer vision, or optimization—depending on the team’s focus area. You’ll also have opportunities to learn Amazon’s scalable infrastructure, experiment platforms, and science best practices.
This role is ideal for someone early in their career who enjoys working in collaborative, multidisciplinary teams and is excited by the opportunity to learn, innovate, and deliver measurable impact to customers.
Key job responsibilities
1.Collaborate with scientists, engineers, and product managers to define and frame business problems as ML or optimization tasks.
2.Build, train, and evaluate models using large, complex datasets.
3.Implement scalable data pipelines and model-serving systems.
4.Analyze experimental results, draw insights, and refine models to improve accuracy and robustness.
5.Communicate findings and recommendations to technical and non-technical audiences.
6.Continuously learn and apply new algorithms and techniques to improve existing systems.
Basic Qualifications
This is an excerpt. Read the full job description on Amazon careers →