Sr. Applied Scientist, Amazon Ads (Advertising)

Amazon; San Francisco (CA); On-site; USD 192,000 - 260,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Ads is seeking a machine learning scientist to build and deploy large-scale ML models and pipelines in a fast-paced environment. You will collaborate with engineers, product managers, and other scientists to advance advertising technology using cutting-edge ML and AI techniques.

The role emphasizes research leadership, scalable ML workflows, and producing impact across business metrics, with opportunities to apply generative AI and large language models at scale in advertising.

Qualifications

• 5+ years building machine learning models for business applications.
• PhD or Master’s with 6+ years of applied research.
• Proficient in Java, C++, Python or related language.
• Experience with neural deep learning methods and ML fundamentals.

Responsibilities

• Conduct hands-on data analysis and build large-scale ML models and pipelines.
• Prototype, experiment, and deploy ML models with cross-functional teams.
• Design and run A/B experiments to validate hypotheses and measure impact.
• Research ML approaches including generative AI and large language models.
• Lead end-to-end optimization projects at massive scale with big data.
• Provide technical leadership and explore new ML methods for innovation.
• Collaborate with software engineers to productionize ML models.
• Develop scalable processes for model development, validation and deployment.

Skills

Machine learning

Deep learning

Data analysis

Education

PhD or MS with 6+ years of applied research

Tools

Java

C++

Python

Spark

Job description

Job ID: 10480719 | Amazon.com Services LLC

Amazon Ads is re-imagining advertising through generative artificial intelligence (AI) technologies. We combine human creativity with AI to transform every aspect of the advertising life cycle, from ad creation and optimization to performance analysis and customer insights. Our solutions help advertisers grow their brands while enabling millions of customers to discover and purchase products through delightful experiences. We deliver billions of ad impressions and millions of clicks daily, breaking fresh ground in product and technical innovations. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.

Why you’ll love this role

Amazon is investing heavily in building a world-class advertising business. To meet Advertiser goals, we process over 4 million ad request per second. This team defines and delivers optimization solutions for this enormous volume of traffic filtering unnecessary ad request and processing only whats in-demand and brings value for our Advertisers. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.

You will work alongside talented engineers, and product leaders in a culture that encourages bias for action, innovation and experimentation, and you will directly influence business strategy through your scientific expertise. What makes this role unique is the combination of scientific rigor with real-world impact. You will re-imagine advertising through the lens of advanced ML while solving problems that balance the needs of advertisers, customers, and Amazon's business objectives.

Your impact and career growth

Amazon Ads is investing heavily in AI and ML capabilities, creating opportunities for scientists to innovate and make their marks. You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.

Learn more about Amazon Ads

https://advertising.amazon.com/

Key job responsibilities

• Conduct hands-on data analysis, build large-scale machine-learning models and pipelines
• Build ML models, perform proof-of-concept, experiment, optimize, and deploy your models into production, working closely with cross-functional teams including engineers, product managers, and other scientists
• Design and run A/B experiments to validate hypotheses, gather insights from large-scale data analysis, and measure business impact
• Research and implement ML approaches, including applications of generative AI and large language models
• Drive end-to-end optimization projects that tackle ambiguous problems at massive scale, often working with petabytes of data
• Provide technical leadership, research new machine learning approaches to drive continued scientific innovation
• Build supply optimization models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models
• Develop scalable, efficient processes for model development, validation, and deployment that optimize traffic monetization while maintaining customer experience

Basic Qualifications

• 5+ years of building machine learning models for business application experience
• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

Preferred Qualifications

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.

Compensation and Benefits

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Learn more about our benefits at https://amazon.jobs/en/benefits .

• Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• Paid time off
• Parental leave

USA, CA, San Francisco - 192,200.00 - 260,000.00 USD annually