$179000 - $309400 Year
Monday to Friday
Morning shift
Day shift
Evening shift
Night shift
Health insurance
Paid time off
Employee discount
Dental insurance
Vision insurance
401(k)
401(k) matching
Flexible schedule
Parental Leave
Tuition reimbursement
Flexible spending account
Retirement plan
Others
Want to work on one of the highest priorities across Amazon Ads? This is your chance to help build a billion dollar business, innovate on a new product, and have a positive impact on millions of views while working with industry-leading technologies. We're growing a team to support the Sponsored Ads business that powers the advertising experience for millions of viewers and advertisers daily. This is a unique opportunity to get in early and drive significant portions of the technical roadmap.
Amazon is investing heavily in building a world-class advertising business and developing a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses for driving long-term growth. We deliver billions of ad impressions and millions of clicks daily and are constantly challenging ourselves to create world-class products and an unparalleled shopping experience for our hundreds of millions of customers worldwide.
We are building a suite of new services to enable a pioneering advertising initiative, Sponsored TV, using content-rich video optimized for mobile, desktop, and over-the-top platforms. This is a greenfield project in which you will to help define every aspect of the user experience, video services, content delivery, asset management, and advertiser self-service experience.
Key job responsibilities
- Be a thought leader and forward thinker, anticipating obstacles to success, helping avoid common failure modes, and holding us to a high standard of technical rigor and excellence in machine learning (ML).
- Own and drive the most complex and strategic solutions across the business; responsible for many millions in revenue.
- Define evaluation methods and metrics that measures viewer experience (e.g., ad relevance) and invent scientifically sound and scalable solutions in the streaming TV context, to improve viewer experience.
- Seek to understand in depth the Sponsored TV offering and identify opportunities to grow our business via principled ML solutions.
- Research, build, and deploy innovative ML solutions; working across all technical disciplines.
- Identify untapped, high-risk technical and scientific directions, and stimulate new research directions that you will deliver on.
- Be responsible for communicating our ML innovations to the broader internal & external scientific communities.
- Hire, mentor, and guide senior scientists.
- Partner with engineering leaders to build efficient and scalable solutions.
About the team
Sponsored TV Ads is a strategic new Amazon Ads product that is pioneering new experiences to help brands connect with millions of viewers. We are innovating on performance ads on TV. If you’re interested in joining a new and rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you’ve come to the right place. We also strive to be a diverse and inclusive team and value work life balance.
#SponsoredTV #STJobs
We are open to hiring candidates to work out of one of the following locations:
New York, NY, USA | Seattle, WA, USA
BASIC QUALIFICATIONS
- Ph.D. in Machine Learning, Computer Science, or related disciplines.
- 10+ years of applied ML experience in delivering ML-based solutions to solve real-world problems and achieve business goals, at a very large scale.
- 2+ years of hands-on experience leading multiple ML teams to design products that satisfy a customer need.
PREFERRED QUALIFICATIONS
- Published research work in academic conferences or industry circles.
- Experience shipping large-scale deep learning models for online recommendation, personalization, or search.
- Experience partnering with engineering teams to ensure deep learning solutions meet latency requirements.
- Experience influencing product strategy through cutting edge research in deep learning.
- Effective verbal and written skills in communicating with both non-technical and technical audiences.
- Excellent business judgment; the ability to balance business, product, and technology priorities.
- Expert in machine learning, statistics, and experiment design.
- Experience hiring and building teams of applied scientists.
- Experience collaborating and influencing cross-functionally across science, engineering, economics, and business teams.
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/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.
Communication
Leadership
Teamwork
Interpersonal
Learning/adaptability
Self-management
Organizational
Computer
Problem solving
Open mindedness
Strong work ethic
technology
Others
Ph.D. in Machine Learning Computer Science or related disciplines.
10+ years of applied ML experience in delivering ML-based solutions to solve real-world problems and achieve business goals at a very large scale.
2+ years of hands-on experience leading multiple ML teams to design products that satisfy a customer need.
Business administration
On going position
In-person