Applied Scientist, Amazon Advertising - Sponsored Products & Brands, Conversational Ad Experiences

Amazon; Seattle (WA); On-site; USD 136,000 - 224,000; Full time

Job summary

Join a dynamic team at a forward-thinking company that is revolutionizing the advertising landscape. As an Applied Scientist, you will leverage cutting-edge technologies in generative AI to create innovative ad experiences that enhance shopper engagement. Collaborate with talented professionals to push boundaries and drive impactful results. This role offers a unique opportunity to work on exciting projects that shape the future of advertising. If you thrive in a fast-paced environment and are passionate about technology, this is your chance to make a difference!

Benefits

Medical benefits

Financial benefits

Equity options

Flexible working hours

Career development opportunities

Qualifications

• 3+ years of experience in building models for business applications.
• Experience in algorithms, data structures, and numerical optimization.

Responsibilities

• Build POCs, experiment, optimize, and deploy models into production.
• Mentor other scientists and partner with PMT and SDM on product strategy.

Skills

Natural Language Processing

Ads recommendation systems

Information retrieval

LLM prompt engineering

Statistical analysis

Programming in Java

Programming in C++

Programming in Python

Education

PhD in Computer Science

Master's degree in Computer Science

Tools

High-performance computing

Data mining

Parallel computing

Job description

Applied Scientist, Amazon Advertising - Sponsored Products & Brands, Conversational Ad Experiences

Job ID: 2952955 | Amazon.com Services LLC

Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.

This position will be part of the Conversational Ad Experiences team within the Amazon Advertising organization. Our cross-functional team focuses on designing, developing and launching innovative ad experiences delivered to shoppers in conversational contexts. We utilize leading-edge engineering and science technologies in generative AI to help shoppers discover new products and brands through intuitive, conversational, multi-turn interfaces. We also empower advertisers to reach shoppers, using their own voice to explain and demonstrate how their products meet shoppers' needs. We collaborate with various teams across multiple Amazon organizations to push the boundary of what's possible in these fields.

As an Applied Scientist on our team, you will be working with talented scientists, engineers, and technical program managers to innovate on behalf of our customers. An ideal candidate is able to navigate through ambiguous requirements and has experience in Natural Language Processing, Ads recommendation systems, information/evidence retrieval and/or LLM prompt engineering. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!

We are open to hiring candidates to work out of one of the following locations:

Seattle, WA and New-York, NY

Key job responsibilities
- Build POCs, experiment, optimize and deploy models into production
- Partner with other Science teams within the org to deliver features for a net new shopper experience
- Run experiments/weblabs and be able to perform statistical analysis
- Mentor other scientists on the team
- Partnering with Principal PMT and SDM to influence the Product strategy

Nice to have
- Experience in Ads recommendations & information / evidence retrieval
- Experience working with Large Language Models & Prompt Engineering

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 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 in professional software development
- Experience working with Large Language Models & Prompt Engineering

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

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.

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