Applied Scientist, Traffic Quality (Advertising)

Amazon Inc.; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Amazon Ads is seeking a research scientist to build ML models for fraud detection and advertiser trust at scale across Amazon’s properties. You will frame new research problems, invent models, and deploy production-quality ML components that impact business outcomes.

You will work with massive unstructured datasets, publish in top venues, and mentor junior scientists while collaborating with cross-functional teams.

Qualifications

• PhD or Master’s with 4+ years in CS/CE/ML or related field.
• 3+ years building models for business applications.
• Experience in patents or publications at top-tier conferences/journals.
• Experience solving business problems via ML, data mining and statistics.
• Experience in algorithms, parsing, numerical optimization, data mining, parallel/distributed computing, HPC

Responsibilities

• Define and frame new research problems in fraud detection where neither problem nor solution is well-defined.
• Invent and adapt new machine learning approaches, models, and algorithms to detect sophisticated invalid traffic.
• Design and deploy production-quality ML components that directly impact advertiser trust and the business top-line.
• Apply domain knowledge to perform broad data analysis as a precursor to modeling and build business insights.
• Work with unstructured and massive datasets to deliver results.
• Produce research reports meeting top-tier external publication standards.
• Contribute to the scientific community through publications at peer-reviewed venues and reviewing research submissions.
• Mentor and develop junior scientists on the team.

Skills

Machine learning for business apps

Data mining

Statistical algorithms

Algorithms and data structures

Numerical optimization

Parallel and distributed computing

High-performance computing

Parsing

Education

PhD or Master’s with 4+ years in CS/CE/ML

Job description

Amazon Ads is a multi-billion dollar global business that delivers advertising experiences across Amazon's owned-and-operated properties (including Prime Video, Twitch, Fire TV, and Amazon.com), third-party publisher networks, and emerging channels like generative AI-powered shopping experiences. As one of the fastest-growing segments of Amazon, we operate at unprecedented scale across desktop, mobile, connected TV, and emerging surfaces.

Key job responsibilities

• Define and frame new research problems in fraud detection where neither problem nor solution is well-defined.
• Invent and adapt new machine learning approaches, models, and algorithms to detect sophisticated invalid traffic.
• Design and deploy production-quality ML components that directly impact advertiser trust and the business top-line.
• Apply domain knowledge to perform broad data analysis as a precursor to modeling and build business insights.
• Work with unstructured and massive datasets to deliver results.
• Produce research reports meeting top-tier external publication standards.
• Contribute to the scientific community through publications at peer-reviewed venues and reviewing research submissions.
• Mentor and develop junior scientists on the team.

About the team

• 1/ [Scaling Generative Pre-training for User Ad Activity Sequences. AdKDD 2023.](https://assets.amazon.science/b7/42/03be071743d5a57cb1656e6caa34/scaling-generative-pre-training-for-user-ad-activity-sequences.pdf)
• 2/ [SLIDR: Real-time Robot Detection On Online Ads, IAAI 2023, Deployed Highly Innovative Applications of AI Track (AAAI 2023)](https://assets.amazon.science/75/2f/3b7106b143f38f7f4d2806388ace/real-time-detection-of-robotic-traffic-in-online-advertising.pdf)
• 3/ [Self-supervised Representation Learning Across Sequential and Tabular Features Using Transformers, NeurIPS 2022, First Table Representation Learning Workshop](https://openreview.net/forum?id=wIIJlmr1Dsk)

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 in solving business problems through machine learning, data mining and statistical algorithms
• 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

• 2+ years of hands-on predictive modeling and large data analysis experience
• 2+ years of designing experiments and statistical analysis of results experience

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.