Senior Machine Learning Engineer I, Ads Quality

Key Skills

Image processing, Machine learning techniques, Natural Language Processing (NLP), SQL

Job Description

For this role, we are considering candidates based in the United States. Candidates living within commutable distance of Etsy’s Brooklyn Office Hub or in the San Francisco Bay Area may be the first to be considered. For candidates within commutable distance, Etsy requires in-office attendance once or twice per week depending on your proximity to the office. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more details about our work modes and workplace safety policies here.

What’s this team like at Etsy?

Our team develops custom machine-learning models that can drive product vision and customer impact.

• We ensure that the right ads are put in front of the right buyers.

• We maintain a pipeline that scales for our 90+ million buyers and sellers

• We make the ad experience more personalized to a buyers journey

What does the day-to-day look like?

• 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 efficiency 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

• Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.

Qualities that will help you thrive in this role are:

• You feel passionate about applying machine learning techniques in addressing real-world problems

• You have focused curiosity about one of the following fields: natural language processing, image processing, information retrieval, deep learning.

• You have build ML products through the entire ML lifecycle: scoping, prototyping, model development, deploying, monitoring, and debugging in production machine learning systems.

• You have experience in modern ML libraries like pytorch or tensorflow.

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

• You have successfully taken requirements from design through to delivery 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 share your resume with us and feel free to include a cover letter if you'd like. As we hope you've 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 tell us what you're all about.