Applied Scientist, Marketplace Intelligence, Sponsored Products and Brands

Amazon; New York (NY); On-site; USD 136,000 - 224,000; Full time

Job summary

An innovative firm is seeking an Applied Scientist to join their dynamic team focused on enhancing advertising solutions. This role involves tackling complex machine learning challenges and developing algorithms that optimize ad placements for millions of users. You will have the chance to lead projects that drive significant revenue impact while collaborating with a diverse team. The position offers a unique opportunity to expand your technical skills in a creative environment that values experimentation and innovation. If you're passionate about applying science to real-world problems and making a difference, this role is perfect for you.

Qualifications

• 3+ years of experience building models for business applications.
• Experience programming in Java, C++, or Python.

Responsibilities

• Drive end-to-end machine learning projects with high complexity.
• Develop real-time algorithms for ad allocation in auctions.

Skills

Machine Learning

Data Mining

Algorithms and Data Structures

Programming (Java, C++, Python)

Numerical Optimization

Education

PhD in Computer Science

Master's degree in Computer Science

Tools

MxNet

TensorFlow

Job description

Applied Scientist, Marketplace Intelligence, Sponsored Products and Brands

Job ID: 2928501 | Amazon.com Services LLC - A57

Calling all inventors to work on exciting new opportunities in Sponsored Products. Amazon is building a world-class advertising business and defining and delivering a collection of self-service performance advertising products that drive discovery and sales of merchandise. Our products are strategically important to our Retail and Marketplace businesses, driving long-term growth. Sponsored Products (SP) helps merchants, retail vendors, and brand owners grow incremental sales of their products sold on Amazon through native advertising. SP achieves this by using a combination of machine learning, big data analytics, ultra-low latency high-volume engineering systems, and quantitative product focus. We are a highly motivated, collaborative, and fun-loving group with an entrepreneurial spirit and bias for action.

You will join a newly-founded team with a broad mandate to experiment and innovate, focusing on driving growth of sponsored products ad experiences across Amazon stores worldwide. This broad charter gives us the flexibility to explore and apply scientific techniques to novel product problems. You will have the satisfaction of seeing your work improve the experience of millions of Amazon shoppers worldwide while driving quantifiable revenue impact. More importantly, you will have the opportunity to broaden your technical skills and be a science leader in an environment that thrives on creativity, experimentation, and product innovation.

Key Job Responsibilities

1. Tackle and solve challenging science and business problems that balance the interests of advertisers, shoppers, and Amazon.
2. Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, and complexity.
3. Develop real-time machine learning algorithms to allocate billions of ads per day in advertising auctions.
4. Develop efficient algorithms for multi-objective optimization using deep learning methods to find operating points for the ad marketplace then evolve them.
5. Research new and innovative machine learning approaches.
6. Recruit Scientists to the team and provide mentorship.

BASIC QUALIFICATIONS

1. 3+ years of building models for business application experience.
2. PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
3. Experience programming in Java, C++, Python or related language.
4. 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

1. Experience in professional software development.
2. 3+ years of solving business problems through machine learning, data mining, and statistical algorithms experience.
3. Experience with popular deep learning frameworks such as MxNet and TensorFlow.
4. Experience implementing algorithms using both toolkits and self-developed code.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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 this link 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 this link. This position will remain posted until filled. Applicants should apply via our internal or external career site.