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Wayfair · 4 days ago
Senior Machine Learning Scientist, Supplier Advertising Science
Seattle, WA
Full-time
Hybrid
Senior Level
5+ years exp
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Responsibilities
Provide technical leadership in the development of an automated and intelligent advertising system by advancing the state-of-the-art in machine learning techniques to support bidding and other optimizations.
Design, build, deploy and refine extensible, reusable, large-scale, and real-world platforms that optimize our ads experience.
Build robust monitoring, alerting, and edge-case handling mechanisms.
Collaborate closely and align with both our Ads and Search & Recommendations Product and Engineering partners to drive the integration of our smart bidding platform with the existing infrastructure and platforms at Wayfair.
Research new developments in advertising, sort and recommendations research and open-source packages, and incorporate them into our internal packages and systems.
Work cross-functionally with commercial stakeholders, engineers, analysts, and product managers to understand business problems or opportunities and develop appropriately scoped ML solutions
Promote a culture of machine learning and ML science excellence by participating in weekly research, learning, and development sharing sessions.
Qualification
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Required
Advanced degree (Master or PhD) in Machine Learning, Computer Science, Engineering, Statistics, or a related quantitative field.
3+ years (with PhD) or 5+ years (non-PhD) of experience in advanced machine learning and statistical modeling, including hands-on designing and building production models at scale.
Strong theoretical understanding and solid hands-on expertise deploying ML-based decision-making systems into production.
Familiarity with ML model development frameworks, ML orchestration and pipelines with experience in either Airflow, Kubeflow or MLFlow as well as Spark, Kubernetes, Docker, Python, and SQL.
Preferred
Experience in computational advertising, bidding algorithms, or search ranking
Familiarity with Machine Learning platforms offered by Google Cloud and how to implement them on a large scale (e.g. BigQuery, GCS, Dataproc, AI Notebooks).
Benefits
Paid Holidays
Paid Time Off (PTO)
Full Health Benefits (Medical, Dental, Vision, HSA/FSA)
Life Insurance
Disability Protection (Short Term & Long Term Disability)
Global Wellbeing: Gym/Fitness discounts (including US Peloton, Global ClassPass, and various regional gym memberships)
Mental Health Support (Global Mental Health, Global Wayhealthy Recordings)
Caregiver Services
401K Matching (Employee Matching Program)
Tuition Reimbursement
Financial Health Education (Knowledge of Financial Education - KOFE)
Tax Advantaged Accounts
Family Planning Support
Parental Leave
Global Surrogacy & Adoption Policy
Rewards & Recognition
Global Employee Anniversary Awards
Paid Volunteer Work
Employee Discount
U.S. Bluebikes Membership
Global Pod Outings
Emphasizing a supportive & flexible work environment that encourages a balance between personal and professional commitments
Company
Wayfair
Wayfair is an online retailer that offers a wide range and selection of home products.
10,001+ employees
H1B Sponsorship
Wayfair has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (210)
2022 (535)
2021 (580)
2020 (328)
Funding
Current Stage
Public CompanyTotal Funding
$2.28BKey Investors
T. Rowe PriceSpark Capital
2023-05-08Post Ipo Debt· $600M
2020-08-12Post Ipo Debt· $1.32B
2014-10-02IPO· nyse:W
Leadership Team
Niraj Shah
Co-Founder & CEO
Kate Gulliver
Chief Financial Officer & Chief Administrative Officer
Recent News
2024-05-30
2024-05-28
Company data provided by crunchbase
