Machine Learning Engineer II - Ads

Company Description

Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee, you'd be solving unique, meaningful, large-scale problems alongside passionate coworkers, making a rewarding impact, and keeping Commerce Human, whether you're part of Etsy, Reverb, or Depop teams.

Job Description

What's the role?

Etsy is hiring a Machine Learning Engineer to join our Ads ML advertising team. Our team notably develops custom machine-learning models that influence product vision and customer impact. We are particularly seeking individuals who are product and delivery-driven, and have a fascination for harnessing ML innovations in digital advertising for improving the Etsy buyer/seller experience.

This position provides an excellent opportunity for those interested in building user-centric ML systems for a two-sided marketplace with 90+ million buyers, 6+ million sellers, and hundreds of millions of unique, handmade, vintage listings. Etsy sellers use the Etsy ads for advertising their products and expanding their business. The work in our Ads team includes developing machine learning systems for ad relevance, bidding, budget pacing, and dynamic ad experiences on Etsy.com and the Etsy app.

This is a full-time position reporting to the Senior Engineering Manager, Machine Learning, Ads. Besides a salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family, providing a comprehensive rewards package. This role requires your presence in Etsy's Mexico City office on either an in-person or flexible basis. Priority will be given to candidates living within commutable distance of the Mexico City Hub.

What's our team dynamics like at Etsy?

Here are some of the problems we're solving:

• Ensuring that the correct ads are put in front of the right buyers.
• Helping our sellers to set bids for attaining the highest rate of return.
• Maintaining an adaptable pipeline for our 90+ million buyers and sellers.
• Identifying dishonest actors in our system to protect sellers.
• Supporting our sellers in budget allocation.

What does the day-to-day look like?

• Collaborating cross-functionally with product engineering teams and communicating your ideas and model capabilities to product managers.
• Applying the latest advances in deep learning and machine learning to enhance the buyer and seller experiences on Etsy.
• Prototyping, optimizing, and bringing to use large-scale ML models that deliver key results.
• Conducting A/B experiments to validate the effectiveness of ML models and pipelines.
• Close coordination with product managers, ML engineers, full-stack engineers, and designers to deliver content to tens of millions of users.

Qualifications

Qualities that will make you successful in this role:

• A history of applying machine learning techniques for addressing real-world problems.
• Expertise in one of the following fields: natural language processing, image processing, reinforcement learning, or deep learning.
• Experience in training, deploying, monitoring, debugging, and iterating on production machine learning systems.
• Proficiency in databases, SQL, and scripting languages.
• Capacity to apply statistical techniques for solving real problems.
• A track record of taking requirements from design to delivery solo or as part of a team.
• A knack for writing comprehensible, testable code with an eye towards maintainability.
• Care and consideration about how your work affects end users.

Additional Information

What's Next

If you're interested in joining the Etsy team, please send us your resume. Feel free to include a cover letter. We value individuality and variety. We want you to be yourself. We're eager to know your unique story.

Our Promise

At Etsy, we believe a diverse, equitable, inclusive workplace is crucial in building a company with relevance, resilience, and longevity. We encourage applications from all backgrounds, ages, abilities, and experiences. Etsy is proud to be an equal opportunity employer and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If required, accommodations during any part of the interview process due to a disability can be arranged. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.