About the role
What will you do at Chewy?
Job Description
Our Opportunity: Advertising is a critical component of the
ecommerce ecosystem and provides a critical revenue stream to the company. At
Chewy, our Sponsored Ads Technology team based out of Bellevue, WA is looking
for a Staff Machine Learning Engineer to help launch various innovative
ads-offerings for Chewy onsite and offsite sponsored ads. As a member to the
Sponsored Advertising team, you’ll be part of core technical team and will
influence technical strategy across product search and discovery, relevance and
ranking, prediction, and auction of large selection of sponsored ads offering
onsite and offsite. You’ll be at forefront of driving technology driven business
impact. Machine learning and deep-learning models will influence selection,
relevance, ranking, click-through prediction modelling, auction-dynamics,
keywords recommendation, campaign optimization, ads channel performance, ads
performance maximization and wide array of engaging data-science latest
methodologies including but not limited to LLMs and generative AI. Sponsored Ads
creates a win-win ecosystem for shoppers, brand owners and Chewy! Shoppers ("Pet
Parents") are offered a range of alternate options to help them choose better
and learn about new products, new brands, new promotions, and different price
points. Brand owners and advertisers get to showcase their product offerings in
the front row for their target audience (proud pet owners) and maximize their
reach. Come be part of the Sponsored Ads team’s impactful journey at Chewy! What
you'll do: 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. 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 proven
experience for at least 3 years designing optimization and machine learning
solutions for large scale applications. 8+ years of experience working in
Machine Learning 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. 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. The base salary range for this
role is $186,500 - $265,000.00. The specific salary offered to a candidate may
be influenced by a variety of factors including but not limited to the
candidate’s relevant experience, education, and work location. In addition, this
position is eligible for 401k and a new hire and annual equity grant. C08+
positions may also be eligible for annual bonus. We offer different types of
insurance and benefits, such as medical/Rx, vision, dental, life, disability,
hospital indemnity, critical illness, and accident. We offer parental leave,
family services benefits, backup dependent care, flexible spending accounts,
telemedicine, pet adoption reimbursement, employee assistance program, and many
discounts including 10% off pet insurance and 20% off at Chewy.com. Exempt
salary team members have unlimited PTO, subject to manager approval. Team
members will receive six paid holidays per year. Team members may be eligible
for paid sick and family leave in compliance with applicable state and local
regulations. 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
[email protected]. To access Chewy's California CPRA Job Applicant Privacy Policy,
please click here. Watch Here At Chewy, our mission is to be the most trusted
and convenient destination for pet parents and partners, everywhere. Rooted in
our mission to be the most trusted and convenient destination for pet parents
and partners, everywhere, we’re guided by our Chewy Operating Principles (or OPs
for short), which serve as a common framework that drives our character,
capabilities, ingenuity and operations. Our 10 Operating Principles guide us
every day: • Customers First • Deliver Results • Earn Trust • Accelerate Time •
Act as an Owner • Debate Openly; Commit Fully • Build High-Performing Teams •
Keep it Simple • Think Big
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