FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and optimizing machine learning systems for sponsored search, with a strong focus on natural language processing, information retrieval, and deep learning. Proven ability to collaborate cross-functionally and lead teams in delivering impactful ad experiences for users.
Highest-signal resume keywords
Machine Learning Systems DevelopmentNatural Language ProcessingStatistical Techniques ApplicationA/B ExperimentationProduction Machine Learning Deployment
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningDeep LearningInformation RetrievalStatistical TechniquesModel PrototypingModel OptimizationCode MaintainabilityAd Engagement ModelingUser PersonalizationPipeline Maintenance
Soft Skills
Cross-Functional CollaborationEffective CommunicationTeam LeadershipUser-Centric Mindset
Industry Keywords
Sponsored SearchAd AllocationUser EngagementSearch SystemsRecommendation Systems
About the role
Key responsibilities & impact- Join Etsy’s Search Ads team as a Senior Machine Learning Engineer
- Build machine learning systems for sponsored search, including retrieval, ranking, ad allocation, and user engagement modeling
- Develop custom machine-learning models that drive product vision and customer impact
- Maintain scalable pipelines for Etsy’s 90+ million buyers and sellers
- Personalize the ad experience to a buyer’s journey
- Work cross-functionally with product engineering teams and communicate model capabilities to product managers
- Apply advances in machine learning to improve relevance and buyer ad engagement
- Prototype, optimize, and productionize large-scale ML models for the ads funnel
- Conduct A/B experiments to validate ML models and pipelines
- Collaborate with product managers, ML engineers, and analytics partners to measure and improve the ads product
Requirements
What you’ll need- Track record applying statistical and machine learning techniques to real-world problems
- Expert in natural language processing, information retrieval, search, recommendations, or deep learning
- Experience training, deploying, monitoring, debugging, and iterating on production machine learning systems in search, recommendation, and/or ads systems
- Ability to create requirements and lead a team from design through delivery
- Ability to write understandable, testable, maintainable code
- Care about the implications of work on end users
Benefits
Comp & perks- Equity package
- Annual performance bonus
- Competitive benefits that support you and your family
- Flexible/partially remote work arrangement
- Occasional travel to the Dublin office for remote candidates outside commutable distance