13 дней назад
Machine Learning Manager (Advertising Science)
297 250 - 298 625$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Machine Learning Manager (Advertising Science): Building ML-powered recommendation systems, campaign automation, agentic chat interfaces, and generative AI creative optimization for Wayfair’s advertising platform with an accent on advertiser outcomes, scalable decisioning, and commercial impact. Focus on leading ML scientists, solving latency and scalability challenges, and designing intelligent budget, tROAS, SKU, and creative optimization systems.
Location: Hybrid in Boston, Massachusetts, with designated office days Tuesday through Thursday and remote work Monday and Friday; also open to Seattle, Washington.
Annual base pay: USD 297,250–298,625.
Company
is an ecommerce company building technology and advertising solutions for home shopping.
What you will do
- Own the strategy, roadmap, and execution of supplier advertising intelligence and automation solutions.
- Lead GenAI-powered creative optimization, ML recommendation systems, agentic chat interfaces, and campaign automation.
- Build, coach, and manage a team of machine learning scientists developing budget, tROAS, SKU, creative testing, and simulation-driven decisioning systems.
- Partner with Product, Engineering, Sales, AdTech, ML Platform, and Campaign Management teams to deliver scalable advertising solutions.
- Research advertising science, GenAI creative personalization, auction modeling, and automated advertising decisioning.
- Provide technical mentorship and subject-matter expertise across the broader data science and engineering organization.
Requirements
- PhD with 5+ years, MS with 9+ years, or BS with 10+ years of experience in a quantitative STEM field.
- 2+ years of experience as a lead or manager building advanced machine learning models is preferred.
- Experience influencing senior stakeholders and shaping technical roadmaps through data-backed recommendations.
- Ability to partner cross-functionally and lead technical organizations.
- Proficiency in one or more programming languages, such as Python, Golang, or Rust.
- Ability to work in the Boston hybrid office or from the Seattle location.
Nice to have
- Experience with GCP, Airflow, and Docker.
- Experience building scalable data processing pipelines with Hadoop, Hive, SQL, or Spark.
- Familiarity with generative AI and agentic workflows.
- Experience with Bayesian learning, multi-armed bandits, or reinforcement learning.
Culture & Benefits
- Paid holidays and paid time off.
- Medical, dental, vision, HSA/FSA, life insurance, and disability protection.
- 401(k) matching, tuition reimbursement, and tax-advantaged accounts.
- Family planning support, parental leave, and surrogacy and adoption benefits.
- Flexible work environment with wellness, mental health, professional development, and employee discount programs.
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