Staff Applied Scientist, Etsy
$218-257k
+ Equity package + Annual performance bonus
More information about location
Office located in Brooklyn, New York
eCommerce platform for handcrafted goods
Open for applications
eCommerce platform for handcrafted goods
1001+ employees
Open for applications
$218-257k
+ Equity package + Annual performance bonus
More information about location
Office located in Brooklyn, New York
1001+ employees
Company mission
To keep human connection at the heart of commerce.
Role
Who you are
- We are looking for individuals who are product & technology driven, and are passionate about making ML innovations in areas such as: Natural Language Processing, Representation Learning, Clustering, Optimization, Deep Learning, Graph Learning, and Reinforcement Learning to help improve the Etsy buyer/seller experience!
- Successful track record of applying deep learning machine learning techniques in addressing real-world problems and looking for opportunities to make impacts
- Have extensive experience with machine learning and deep learning solutions across the entire machine learning stack, from data collection to evaluation
- Ability to take on and lead unconstrained problems and know when to seek help and how to deliver
- Ability to write and manipulate data at a large scale, in distributed environment
- Shown success in developing productionized machine learning solutions. You are comfortable with using git, docker, airflow and other tools for developing robust, production-ready code
- Have strong verbal and written communication skills
- An M.S. or Ph.D. degree in Computer Science or related fields, with 5+ years of practical machine learning experience
- Experience using Google Cloud Platform
- Experience in representation learning
- Experience in Approximate-Nearest- Neighbor (ANN) search
- Experience in building production search, recommendations, advertising, knowledge base (structured data), or general e-commerce systems
- Experience using following frameworks: Spark Scala, Airflow, Kubflow, Tensorflow
What the job involves
- As a Staff Applied Scientist, you will be responsible for initiating and delivering new solutions for the domain application of Recommendations
- This is a full-time position reporting to the Engineering Manager
- The Retrieval team builds capabilities to select relevant item-candidates to help product teams to provide personalized user experiences
- We use machine learning algorithms to train models which can be used to choose relevant personalized candidate-sets for our recommendation engine
- We are looking for an experienced machine learning scientist who can help build Etsy’s next generation capabilities for the candidate generation
- Initiate and lead a new track of works to enhance the capability of candidate generation for Etsy’ Recommendation engine
- Develop innovative representations to capture salient signals of our users and listings, including aspects like content, function, budget, and preferences
- Develop models with custom architecture or objective functions that target Etsy-specific problems, including but not limited to personalized retrieval, ranking, revenue optimization, seller fairness, and seasonality
- Mentor other applied scientists and guide them during their projects
- Work closely and collaboratively with software engineers, data scientists, product managers, and designers
- 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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