1 Principal Applied Scientist, Ad Catalyst Team Job in USA, NY
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Amazon is Hiring a Principal Applied Scientist, Ad Catalyst Team Near USA, NY
DESCRIPTION
Are you interested in working 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 space, and have a positive impact on millions of views while working with industry-leading technologies. The Ad Catalyst team in Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital advertising solutions to over a million advertisers with the goal of helping our our hundreds of millions customers find and discover anything they want to buy. We start with the customer and work backwards in everything we do, including advertising. Our team owns researching, evaluating, ranking and serving personalized recommendation to each of our 1 million advertisers using state of the art machine learning techniques ( e.g., deep learning, deep-reinforcement learning, causal modeling). Our team is placed centrally in the Advertising Experience organization which owns the advertising console, this provides us full-stack ownership giving scientists the satisfaction of seeing their work directly power advertiser experiences with measurable outcomes.
If you’re interested in joining a rapidly growing team working to build a unique, highly respected advertising group with a relentless focus on the customer, you’ve come to the right place. This is a unique opportunity to get in early and drive significant portions of the technical roadmap and shape the research agenda of a billion dollar business.
Successful candidates will have strong technical ability, focus on customers by applying a customer-first approach, solid teamwork and strong communication skills. You're motivated to achieve results in a fast-paced environment through both strong personal delivery and the ability to develop partnerships with science teams across the org. This is a high visibility leadership position where you will be the first principal scientist in a 400 people org.
Our position offers exceptional opportunities for every candidate to grow their technical and non-technical skills. You will have the opportunity to make a difference to our business & our customers by designing and building state of the art machine learning systems on big data, leveraging Amazon’s vast computing resources (AWS), working on exciting and challenging projects, and delivering meaningful results to customers world-wide.
Key job responsibilities
- Be a thought leader and forward looking thinker, anticipating obstacles to success, helping avoid common failure modes, and hold 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 driving millions in revenue
- Own the dialogue with partner science teams - shape consensus in scientific research roadmap, modeling approaches evaluation and presentation of the science driven results to our advertisers
- Define evaluation methods and metrics that measure the effectiveness of advertising recommendations using a variety of science techniques (Randomized Control Trials, Causal Modeling, Reinforcement learning policy evaluation)
- 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
We are open to hiring candidates to work out of one of the following locations:
New York City, NY, USA | Seattle, WA, USA
BASIC QUALIFICATIONS
· Ph.D. in Computer Science, Mathematics, Statistics, related field, or equivalent experience
· 10 years of experience in applied science and software development at large scale
· Experience building complex software systems that have been successfully delivered to customers
· Extensive experience building predictive and optimization models
· Expert knowledge and practical experience in several of the following areas: machine learning, statistics, deep learning, natural language processing, informational retrieval
· Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis
· Proficiency in, at least, one modern programming language such as C, C , Java, or Python
PREFERRED QUALIFICATIONS
· Experience in deep reinforcement learning based recommender systems, deep learning and tree based prediction and classification methods, large scale experimentation and causal modeling (e.g., Double Debiased Machine Learning)
· Experience with distributed machine learning systems with billions of data points
· 10 years of hands-on experience in predictive modeling and analysis
· Significant peer reviewed scientific contributions in premier journals and conferences
· Experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs
·Significant peer reviewed scientific contributions in premier journals and conferences
·Proven track record leading, mentoring, and growing teams of scientists
· Ability to take a complex problem from scoping requirements through actual launch of the project
· Strong communication skills
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 $159,100/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. Applicants should apply via our internal or external career site.
Job Summary
Full Time
Transportation
$121k-157k (estimate)
02/05/2024
04/30/2024
RANDALLSTOWN, MD
25 - 50
2018
$50M - $200M
Transportation
