Machine Learning Engineer II
Company Description
What’s the role?
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
- Apply the latest advances in machine learning to improve the 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
- 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 have a track record of applying statistical and machine learning techniques in addressing real-world problems
- You are an expert in one of the following fields: natural language processing, information retrieval, search and/or recommendations, deep learning.
- You have experience training, deploying, monitoring, debugging and iterating on production machine learning systems in search, recommendation, and/or ads systems.
- You can successfully create requirements and lead your team from design through to delivery.
- You write understandable, testable code and you have an eye towards maintainability.
- You care about the implications of your work on end users.
Compensation & Benefits
Location
What's Next
Our Promise
At Etsy, we believe that a diverse, equitable, and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace and is committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, national origin, religion or creed, sex, pregnancy (including childbirth and related medical conditions), gender, gender identity or expression, sexual orientation, age, citizenship or immigration status, marital or familial status, physical or mental disability, medical condition, genetic information, military or veteran status, or any other characteristic protected by applicable federal, state, or local law. If, due to a disability, you need an accommodation during any part of the interview or hiring process, please let your recruiter know and we will work with you to meet your needs. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.
Not included in the source posting: qualifications.
Skills
Who can apply
The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.
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