Staff Applied Scientist, Etsy
$210-246k
Plus equity package, and an annual performance bonus
More information about location
eCommerce platform for handcrafted goods
Be an early applicant
eCommerce platform for handcrafted goods
1001+ employees
Be an early applicant
$210-246k
Plus equity package, and an annual performance bonus
More information about location
1001+ employees
Company mission
To keep human connection at the heart of commerce.
Role
Who you 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, 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
What the job involves
- Etsy is hiring a Staff Applied Scientist I to join the Ads Search Quality team. 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 Search Quality team involves building machine learning systems to power the sponsored search product including retrieval, ranking, and user engagement modeling on Etsy.com and the Etsy app
- This is a full-time position reporting to the Senior Engineering Manager
- 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
- 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
Our take
Created as an alternative to more corporate eCommerce sites, Etsy is a peer-to-peer (P2P) website where users buy and sell handmade crafts, vintage items, art, and photography. The online marketplace works similarly to Amazon and eBay, only with an emphasis on unique items rather than mass-produced merchandise.
Since its IPO in 2015, it has managed to hold its own in an increasingly competitive eCommerce industry, including from Amazon's handmade section that launched in 2015. Further, by providing sellers with ownership over pricing and branding, the site is attractive for those wanting to set up a business on an established platform.
However, the seller-side of Etsy is not without problems. The recent hike in transaction fees and the introduction of mandatory marketing fees for artists with high turnovers has created significant discontent amongst sellers. Etsy must reconcile these issues to ensure artists continue to operate on the same scale within the platform. It plans to attract shoppers with its message of extraordinary, handmade and affordable products.
Freddie
Company Specialist at Welcome to the Jungle
Insights
8% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
May 2012
$40m
LATE VC
Aug 2010
$20m
SERIES E
Total funding: $91.7m
Company benefits
- Equity (offers vary by country)
- Performance bonuses
- Paid gender neutral parental leave
- Adoption and family planning
- Back-up care
- Volunteer time off
- Donation matching
- Employee resource groups
- Global virtual events
- Employer paid health benefits
- Fitness benefits
- Wellness programming
- Mental health benefits
- 401K matching/Pension contributions
Company HQ
Downtown Brooklyn, NY
Leadership
Josh Silverman
(CEO)Previously senior executive at eBay, CEO of Shopping.com, CEO of Skype and President of Consumer Products & Services at American Express.
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