Applied scientist ii Jobs

Applied Scientist II, Alexa Ads
ADCI - Karnataka —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Java
- Master's degree
Applied Scientist II, Trustworthy Shopping Experience (TSE)
ADCI - Karnataka —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Java
- Master's degree
Data Scientist II, PV APAC and ANZ Analytics Team
ASSPL - Maharashtra —Mumbai, Maharashtra
- Full-time
- Doctoral degree
- Master's degree
- SQL
Applied Scientist II, Last Mile Science
ADCI - Karnataka - A66 —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Research
- Java
Research Scientist II, FinAuto-GREF
ADCI - Karnataka —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Master's degree
- Machine learning
Applied Scientist II, Amazon Smart Vehicles
ADCI - Karnataka —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Research
- Java
Applied Scientist II, Amazon Payment Products (L5)
ADCI - Karnataka - A66 —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Java
- Master's degree
Applied Scientist II, Buyer Risk Prevention (BRP)
ADCI - BLR 14 SEZ —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Java
- Master's degree
Applied Scientist II, Ads AI Core Infrastructure
ADCI - Karnataka —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Java
- Master's degree
Data Scientist II, Forecasting, Demand Planning and Workforce Intelligence
ADCI - Karnataka —Hyderabad, Telangana
- Full-time
- SQL
- Machine learning
- Scripting
Data Scientist - II, Alexa Sensitive Content Intelligence
ADCI - BLR 14 SEZ —Bengaluru, Karnataka
- Full-time
- SQL
- Presentation skills
- Machine learning
Data Engineer II- Data Analytics Team, Hyderabad
Warner Bros. Discovery —Hyderabad, Telangana
- Full-time
- Computer Science
- Java
- Master's degree
Data Scientist-Senior II
FedEx AMEA —Chennai, Tamil Nadu
- Full-time
- Azure
- Doctoral degree
- Computer Science
Software Development Engineer II, Featured Merchant Algorithm
ADCI - Karnataka —Bengaluru, Karnataka
- Full-time
- Computer Science
- Project management
- Bachelor's degree
AI Engr II
Honeywell —Bengaluru, Karnataka
- Full-time
- Azure
- DevOps
- Engineering
Data Scientist II, Central Seller Fulfillment
Amazon Retail India Private Limited —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Master's degree
- SQL
Visualization Developer II
Advanced Energy Industries, Inc. —Pune, Maharashtra
- Weekend availability
- Azure
- Computer Science
- SQL
Software Development Engineer II, FinTech
Amazon Dev Center India - Hyderabad —Hyderabad, Telangana
- Full-time
- Computer Science
- AWS
- Bachelor's degree
AI/ML Engineer II
Precision Medicine Group —Remote
- Online application
- Remote
- Microsoft Excel
- Azure
- Computer Science
Applied Scientist, Amazon Music
ADCI - Karnataka —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Java
- Master's degree

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Applied Scientist II, Alexa Ads

ADCI - Karnataka -
Bengaluru, Karnataka

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Job details

Full-time

Qualifications

Data mining
Doctoral degree
UNIX
Java
Master's degree
C++
C
Machine learning
Distributed systems
Natural language processing
Software development
Linux
Python

Full job description

DESCRIPTION

Alexa+ is the world’s best Generative AI powered personal assistant / agent for consumers, and is becoming the conversational AI interface for Amazon services with the launch of Alexa for Shopping on Amazon.com and Amazon mobile app. At Alexa Ads, we are creating industry's first and most advanced Agentic Advertising products to drive Agentic Commerce. We are seeking an Applied Scientist to join our newly expanding team in India focused on Alexa Agentic/Conversational Ads and Personalization. In this role, you will build machine learning models that seamlessly and naturally integrate relevant advertising into the Alexa experience while deeply personalizing user interactions. You will work closely with other scientists, engineers, and product managers to take models from conception to production.

Key job responsibilities
Design, develop, and evaluate innovative deep learning and GenAI models for natural language processing (NLP), recommendation systems, and personalization.
Conduct hands-on data analysis and build scalable ML pipelines.
Design and run A/B experiments to measure the impact of new models on customer experience and ad performance.
Collaborate with software development engineers to deploy models into high-scale, real-time production environments.

About the team
We are building a new science team in Bangalore to solve some of the most impactful problems in computational advertising. This isn't about tweaking existing models as we are rethinking how ads are ranked, priced, and personalized across voice-first and screen-first surfaces. These are problems that don't have textbook solutions. Key points to note about the team:

Greenfield team - you are not joining a mature org with rigid processes. You will shape the science roadmap, pick the problems, and define the culture from day one.

Direct business impact — your models directly drive revenue. No yearly cycles to see if your work matters.

Global scope, local autonomy — collaborate with scientists and engineers across Seattle, Sunnyvale, and Bangalore, but own your problem space end-to-end.

Ship AND Publish: We encourage top-tier publications (NeurIPS, ACL, EMNLP, KDD, ICML, WWW) while ensuring your research hits production.

BASIC QUALIFICATIONS

4+ 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
Experience (technical and operational) with multiple domain areas of programmatic advertising technologies (DSP, RTB, bid shading, machine learning optimization, ad verification, ad tracking, ad attribution, etc.)
Experience building large-scale machine learning models and infrastructure for online recommendation, ads ranking, personalization, or search

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.

Apply Now

Refine Your Search

Applied Scientist II, Alexa Ads

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Applied Scientist, Amazon Music

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