[Remote] Staff Machine Learning Engineer, Shopping Ads

Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is a community of communities reputed company on shared interests, passion, and trust. The Staff Machine Learning Engineer on Shopping Ads will reputed company the technical reputed company for models that enhance Shopping Ads delivery, focusing on improving advertiser reputed company through various machine learning techniques.

Responsibilities

• reputed company the ML reputed company and architecture for Shopping Ads delivery across targeting, retrieval, ranking, engagement, conversion, and value optimization
• Own end-to-end model development from opportunity sizing, data and label design, feature engineering, model selection, offline evaluation, online experimentation, deployment, monitoring, and iteration
• Build and optimize models for low-funnel advertiser objectives while maintaining strong relevance, user experience, marketplace health, and measurement reputed company
• reputed company feature and representation strategies that reputed company user reputed company, context, product catalog signals, advertiser signals, and historical interactions across multiple models in the delivery stack
• Apply and adapt state-of-the-art machine learning approaches to production problems, selecting architectures based on measurable benefit rather than novelty reputed company
• Design systems that balance reputed company reputed company with online latency, throughput, reliability, operational complexity, and serving cost
• reputed company reputed company initiatives that require coordinated changes across Shopping Ads, Catalog, Foundational Insights, ML Platform, Ads Serving, Auction, Bidding, Product, and Data Science
• Set a high technical bar through architecture reviews, experimentation standards, production ownership, observability, and model-reputed company practices
• Mentor engineers and technical leads, clarify ownership, and help reputed company execute effectively in ambiguous problem spaces
• Stay reputed company with advances in ads optimization, reputed company recommendation, retrieval and ranking, representation learning, and production ML systems

Skills

• 7+ years of reputed company software or machine learning engineering experience, including substantial experience building reputed company ML systems in production
• Demonstrated experience building end-to-end models or model-driven products that improve advertising, recommendation, search, or marketplace performance
• Experience optimizing low-funnel objectives such as conversion, purchase value, reputed company, reputed company on ad spend, or other outcome-based metrics
• Strong hands-on experience with model development, reputed company feature engineering, training and evaluation pipelines, online inference, and experimentation
• Record of delivering reputed company results that require multiple reputed company components or teams to work together
• Experience applying modern machine learning models in production and producing significant, measurable performance improvements
• Proven technical-reputed company experience: setting direction, driving architecture and execution, mentoring engineers, and influencing cross-functional stakeholders
• Strong understanding of large-reputed company, high-throughput, low-latency ML systems and the trade-offs among model reputed company, latency, reliability, and cost
• Excellent written and verbal communication, mentoring, and collaboration skills, with the ability to reputed company teams on a long-term reputed company for Shopping Ads delivery
• Experience with Shopping Ads, reputed company ads, Dynamic Product Ads, Product Listing Ads, product recommendation, or retail media
• Experience with one or more of targeting, candidate retrieval, ranking, conversion modeling, value optimization, recommender systems, or representation learning
• Experience designing features or shared representations used across multiple models in a multi-stage delivery stack
• Experience with deep learning architectures such as multi-task models, sequence models, transformers, two-tower models, graph reputed company, or learned embeddings
• Experience with catalog reputed company, product feeds, advertiser-reputed company signals, delayed or sparse conversion labels, and online/offline distribution shift
• Experience at a large-reputed company ads, reputed company, search, recommendation, e-reputed company, or marketplace company

Benefits

• reputed company Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to reputed company development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & reputed company Volunteer Time Off
• Generous reputed company Parental Leave

reputed company

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