Staff Applied Scientist, Etsy
Machine Learning Recommendations
$218-257k
+ Equity package + Annual performance bonus
More information about location
1-2 days a week in office (Brooklyn, NY)
eCommerce platform for handcrafted goods
Be an early applicant
eCommerce platform for handcrafted goods
1001+ employees
Be an early applicant
$218-257k
+ Equity package + Annual performance bonus
More information about location
1-2 days a week in office (Brooklyn, NY)
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!
- Proven ability to drive projects forward: You can effectively identify and implement solutions, balance risk and speed, and adapt your approach as needed to deliver results
- Successful track record of applying deep learning machine learning techniques in addressing real-world problems and looking for opportunities to make impacts
- 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 a distributed environment
- Strong coding skills: You write robust, production-quality code (Python, Scala, Java, or equivalent). You’re experienced with tools like Spark, GCP, and Airflow
- You earnestly enjoy coding and love to raise the bar on engineering standards by championing best practices, clean code, and robust testing
- Collaboration and communication: You can articulate complex concepts to both technical and non-technical audiences
- 5+ years of practical machine learning experience
- Advanced degree in ML or related field: Preferred but not required. We recognize relevant industry experience can be just as valuable
- Experience in cloud computing (for example 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 the following frameworks: Spark, Airflow, Kubeflow, Tensorflow or PyTorch
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
- Develop models with custom architecture or objective functions that target Etsy-specific problems
- Stay current with research: Read cutting-edge ML and AI papers and bring innovative, impactful techniques to solve real-world problems
- Productionize ML solutions: Develop robust systems for training, deploying, and monitoring ML models at scale
- Mentor other applied scientists and guide them during their projects
- Collaborate cross-functionally: Work closely 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
Application process
- Please share your resume with us and feel free to include a cover letter if you'd like
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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