Senior ML Engineer, Ads & Search — Hybrid/Remote

Etsy; Dublin; Hybrid; EUR 120,000 - 180,000; Full time

Job summary

Etsy is hiring a Senior Machine Learning Engineer to join the Search Ads team in Dublin. You will build user-centric ML systems powering sponsored search for a two-sided marketplace with tens of millions of buyers and sellers.

You will prototype, deploy and monitor ML models, run A/B experiments, and collaborate with product managers, engineers and analytics partners to improve ad relevance and buyer engagement.

Qualifications

• A track record of applying statistical and machine learning techniques in addressing real-world problems.
• Expert in NLP, information retrieval, search and/or recommendations, or deep learning.
• Experience training, deploying, monitoring, debugging and iterating on production ML systems in search, recommendation, and/or ads systems.
• Ability to create requirements and lead your team from design through to delivery.
• Write understandable, testable code and maintainable systems.
• Care about the implications of your work on end users.

Responsibilities

• Work cross-functionally with product engineering teams and communicate your ideas and model capabilities to product managers.
• Apply the latest advances in machine learning to improve relevance and increase buyer ad engagement.
• Prototype, optimize, and productionize large-scale ML models to improve our ads funnel.
• Conduct A/B experiments to validate the efficiency of ML models and pipelines.
• Work closely with product managers, ML engineers, and analytics partners to measure and improve our ads product.
• Role may encompass other tasks as needed.

Skills

ML engineering

NLP

Information retrieval

Deep learning

Search & ads systems

Job description

Etsy is hiring a Senior Machine Learning Engineer to join the Search Ads team in Dublin. You will build user-centric ML systems powering sponsored search for a two-sided marketplace with tens of millions of buyers and sellers.

You will prototype, deploy and monitor ML models, run A/B experiments, and collaborate with product managers, engineers and analytics partners to improve ad relevance and buyer engagement.