Chewy is looking for a Senior Machine Learning Engineer to help launch innovative ads-offerings for Chewy onsite and offsite sponsored ads, influencing technical strategy across product search and discovery, relevance and ranking, prediction, and auction of sponsored ads.
Requirements
- Ability to understand and apply sophisticated mathematics and DS methodologies.
- Experience in building distributed pipeline, tuning, optimizing and evaluation.
- Experience with Sponsored Ads or Advertisement domain.
- Experience with multiple techniques that include Predictive Models (Time Series and Regression), Linear Programming, and Classification, Search, Ranking or large-scale embeddings.
- Ability to translate complex data sets and research into simple business recommendations.
- Experience with ML Services in AWS (SageMaker, Personalize) or equivalent.
Responsibilities
- You will deploy machine learning and data-science to simplify shopping experience for pet-parents, to maximize reach and discovery of new products of Chewy vendors and helping create a win-win ecosystem.
- Directly influence and collaborate with Product and Engineering leaders to evolve solutions using applied science to improve selection, ranking, relevance, deal-offerings, click through prediction models, dynamic bidding, and auction algorithms for Chewy onsite and offsite advertising solutions.
- You will lead new models from ideation to experimentation, and eventually to production delivery to improve Chewy products offerings and advance applied science applications.
- Publish research papers in leading ML/AI/Advertising conferences solving problems for scale using innovative modelling.
- Establish high bar on model performance, establish applied-science implementation best practices and mentoring junior scientists.
- Deploy solutions at Chewy scale improving overall customer engagement and value for Pet Parents.
- Formalizing proposals and communicating verbally and in writing to Chewy Senior Leadership and business customers with varying levels of technical knowledge, educating them about our research, as well as sharing insights and recommendations.
Other
- An advanced degree (M.S., PhD, or equivalent experience) in Operations Research, Statistics, Applied Mathematics, Data Science or related field or proven experience for atleast 3 years designing optimization and machine learning solutions for large scale applications.
- Experience in e-commerce or retail.
- Prior experience in Advertising systems a huge plus.
