Chewy is looking for a Machine Learning Engineer II with experience in recommendations and search relevance to join our Discovery team in Seattle or Boston.

Is this your next job Read the full description below to find out, and do not hesitate to make an application. Millions of pet parents with unique needs visit Chewy.com looking for products for their beloved pets! We have the task of deciding what products would be most useful to them and help them discover those products. How do we do this? Meet Discovery team @ Chewy. We use the best machine learning techniques and continuously test the outcomes to simplify product discovery for pet parents looking for their pet needs on Chewy.com. Our exceptional multi-disciplinary team of data scientists, data engineers, software engineers and product managers work together to power personalized recommendations and product discovery for pet parents. Our team has single threaded ownership of the space allowing us to decide impactful products that we can experiment with, measure with metrics and deliver at a fast pace. What you'll do:

You will deploy machine learning and data-science to simplify shopping experience for pet-parents, to improve reach and discovery of new products of Chewy vendors and helping build 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 ideate, implement, test, validate and monitor various new models end to end 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. What You'll Need:

An advanced degree (M.S., PhD, or equivalent experience) in Operations Research, Statistics, Applied Mathematics, Data Science or related field or 3+ years’ experience designing optimization and machine learning solutions for large scale applications.

Ability to understand and apply advanced mathematics and DS methodologies.

Experience in building distributed pipeline, tuning, optimizing and evaluation.

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. Bonus:

Experience in e-commerce or retail.

Prior experience in Advertising systems a huge plus.

Experience with ML Services in AWS (SageMaker, Personalize) or equivalent.

Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com . To access Chewy's Customer Privacy Policy, please click here (https://www.chewy.com/app/content/privacy) . To access Chewy's California CPRA Job Applicant Privacy Policy, please click here (https://chewyinc.phenompro.com/us/en/privacy-policy) .

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