Applied Scientist II, Amazon Music

Amazon Inc.; Bengaluru; Sur place; INR 3 000 000 - 4 500 000; Plein temps

Résumé du poste

Amazon Inc. in Bengaluru, India seeks an Applied Scientist II to design, train, and deploy ML models on large-scale data and collaborate with cross-functional teams. You will explore supervised/unsupervised learning, NLP, CV, or optimization, depending on team focus, and ship scalable solutions for customer experiences.

You will work with senior scientists and engineers to build models, improve accuracy, and propagate best practices across our ML platforms in a fast-paced, inclusive environment.

Qualifications

• 3+ years of building models for business applications.
• PhD or Master's with 4+ years in CS/CE/ML or related field.
• Publications or patents in top-tier peer-reviewed venues.
• Proficient in Java, C++, Python or similar.
• Experience with algorithms, data structures, numerical optimization, data mining, parallel and distributed computing, HPC.

Responsabilités

• Collaborate with scientists, engineers, and product managers to define ML/optimization problems.
• Build, train, and evaluate models on large datasets.
• Implement scalable data pipelines and model serving systems.
• Analyze results and iterate to improve accuracy and robustness.
• Communicate findings to technical and non-technical audiences.
• Continuously learn and apply new algorithms to improve systems.

Connaissances

ML model development

Programming: Java, C++, Python

Formation

Master's degree in CS/CE/ML or equivalent

PhD in related field

Outils

Unix/Linux

Description du poste

Are 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

• Collaborate with scientists, engineers, and product managers to define and frame business problems as ML or optimization tasks.
• Build, train, and evaluate models using large, complex datasets.
• Implement scalable data pipelines and model-serving systems.
• Analyze experimental results, draw insights, and refine models to improve accuracy and robustness.
• Communicate findings and recommendations to technical and non-technical audiences.
• Continuously learn and apply new algorithms and techniques to improve existing systems.

Basic Qualifications

• 3+ years of building models for business application experience
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred Qualifications

• Experience using Unix/Linux
• Experience in professional software development

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.