Reddit5 дней назад
Staff Machine Learning Engineer, Shopping Ads
Зарплата не указана
РЫНОК
18 058 ₽медиана по профессии
Data Scientist · 9 вакансий с указанной зарплатой
12 500половина предложений: 13 417–20 00031 333
Работодатель не указал зарплату — сравните с рынком сами.
Remote - United States
Обязанности
- 01Lead the ML strategy and architecture for Shopping Ads delivery across targeting, retrieval, ranking, engagement, conversion, and value optimization
- 02Own end-to-end model development from opportunity sizing, data and label design, feature engineering, model selection, offline evaluation, online experimentation, deployment, monitoring, and iteration
- 03Build and optimize models for low-funnel advertiser objectives while maintaining strong relevance, user experience, marketplace health, and measurement quality
- 04Develop feature and representation strategies that connect user intent, context, product catalog signals, advertiser signals, and historical interactions across multiple models in the delivery stack
- 05Apply and adapt state-of-the-art machine learning approaches to production problems, selecting architectures based on measurable benefit rather than novelty alone
- 06Design systems that balance prediction quality with online latency, throughput, reliability, operational complexity, and serving cost
- 07Drive complex initiatives that require coordinated changes across Shopping Ads, Catalog, Foundational Insights, ML Platform, Ads Serving, Auction, Bidding, Product, and Data Science
- 08Set a high technical bar through architecture reviews, experimentation standards, production ownership, observability, and model-quality practices
- 09Mentor engineers and technical leads, clarify ownership, and help the team execute effectively in ambiguous problem spaces
- 10Stay current with advances in ads optimization, commerce recommendation, retrieval and ranking, representation learning, and production ML systems
Требования
- 017+ years of professional software or machine learning engineering experience, including substantial experience building applied ML systems in production
- 02Demonstrated experience building end-to-end models or model-driven products that improve advertising, recommendation, search, or marketplace performance
- 03Experience optimizing low-funnel objectives such as conversion, purchase value, revenue, return on ad spend, or other outcome-based metrics
- 04Strong hands-on experience with model development, complex feature engineering, training and evaluation pipelines, online inference, and experimentation
- 05Record of delivering complex results that require multiple system components or teams to work together
- 06Experience applying modern machine learning models in production and producing significant, measurable performance improvements
- 07Proven technical-lead experience: setting direction, driving architecture and execution, mentoring engineers, and influencing cross-functional stakeholders
- 08Strong understanding of large-scale, high-throughput, low-latency ML systems and the trade-offs among model quality, latency, reliability, and cost
- 09Excellent written and verbal communication, mentoring, and collaboration skills, with the ability to align teams on a long-term vision for Shopping Ads delivery
Условия
- 01Comprehensive Healthcare Benefits and Income Replacement Programs
- 02401k with Employer Match
- 03Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
- 04Family Planning Support
- 05Gender-Affirming Care
- 06Mental Health & Coaching Benefits
- 07Flexible Vacation & Paid Volunteer Time Off
- 08Generous Paid Parental Leave
- 09Equity in the form of restricted stock units
- 10Possible commission depending on position
- 11Medical, dental, and vision insurance