SENIOR SOFTWARE ENGINEER II, MACHINE LEARNING, AD RANKING

Company Description

Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect entrepreneurs with buyers around the world. Etsy, Inc.'s 'house of brands' portfolio has expanded to now include four individually distinct ecommerce brands -- Etsy, fashion resale marketplace Depop, musical instrument marketplace Reverb, and Brazil-based handmade goods marketplace Elo7. As an Etsy employee, you'll tackle unique problems alongside talented coworkers committed to Keeping Commerce Human. We're large enough that you'll focus on meaningful, complex challenges, but small enough that you can make a rewarding impact.

Job Description

Etsy is hiring a Senior Machine Learning Engineer to join the Ad Ranking advertising team. Our team develops custom machine-learning models that can drive product vision and customer impact. We are looking for individuals who are product and delivery-driven, and are passionate about making ML innovations in digital advertising to help improve the Etsy buyer/seller experience.

This is a fantastic opportunity for someone interested in building user-centric ML systems for a two-sided marketplace with 90+ million buyers, 5+ million sellers, and hundreds of millions of unique, handmade, vintage listings. Etsy sellers use Etsy ads for advertising their products and growing their business. Etsy Ads optimizes sellers’ budgets to advertise their listings in the places on Etsy where they perform best. The work on the Ads team includes building machine learning systems we use for ad ranking, bidding, budget pacing, and dynamic ad experiences on Etsy.com and the Etsy app. You can learn more one of our recent projects on our

Here’s a taste of the problems we’re solving:

How can we ensure that the right ads are put in front of the right buyers?

How can we help our sellers set bids to achieve the highest rate of return?

How do we maintain a pipeline that scales for our 90+ million buyers and sellers?

How can we detect bad actors in our system to protect sellers?

How can we help our sellers to allocate budget?

What You'll Do:

Work cross functionally with product engineering teams and communicate your ideas and model capabilities to product managers

Push the state of the art and apply the latest advances in deep learning and machine learning to improve buyer and seller experiences on Etsy

Prototype, optimize, and productionize large-scale ML models that help deliver key results

Conduct A/B experiments to validate the effectiveness of ML models and pipelines

Work closely with product managers, ML engineers, full-stack engineers, and designers on product teams to deliver content to tens of millions of users

Qualifications

• You have a track record of applying machine learning techniques in addressing real-world problems

You have focused expertise in one of the following fields: natural language processing, image processing, reinforcement learning, deep learning,

You have experience training, deploying, monitoring, debugging and iterating on production machine learning systems.

You are proficient with databases, SQL, and scripting languages.

You have the ability to apply statistical techniques to tackle real problems.

You have successfully taken requirements from design through to delivery both independently and with a team.

You write understandable, testable code and you have an eye towards maintainability.

You care about the implications of your work on end users.

Additional Information

What's Next

If you're interested in joining the team at Etsy, please send a cover letter and resume telling us why you'd be right for the position. As you've hopefully seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So write to us and tell us what you're all about. Our Promise

At Etsy, we believe that a diverse, equitable and inclusive workplace makes us a more relevant, more competitive, and more resilient company. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is an equal opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application and interview process, to perform essential job functions, and to receive other benefits and privileges of employment. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skillsets. For U.S. roles only:

Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska. For candidates who will work remotely from Colorado, visit this for information related to Colorado's Equal Pay for Equal Work Act.

Etsy