Machine Learning Engineer, Etsy
Search Ranking
$144-188k
More information about location
eCommerce platform for handcrafted goods
Job no longer available
eCommerce platform for handcrafted goods
1001+ employees
Job no longer available
$144-188k
More information about location
1001+ employees
Company mission
To keep human connection at the heart of commerce.
Role
Who you are
- You are a caring teammate who enjoys helping others
- Your growth mindset means you find joy in continuous learning and self-improvement
- You care about how ML impacts real people
- 1+ years of experience in areas related to Search, Recommendation Systems, Personalization, and Applied ML
- Proficiency in writing high quality production code, demonstrating strong software engineering and coding skills
- Proficiency in neural ML frameworks such as Tensorflow, PyTorch
- Experience with web-scale data preprocessing and ML workflow such as Apache Spark, Beam, Kubeflow Pipelines etc
- Experience working with cloud computing services such as Google Cloud Platform
- A product focus and passion for using machine learning to address real-world problems. Knowledge of various machine learning techniques and key parameters that affect their performance
- Strong verbal and written communications skills and comfort working in a remote team with a strong Slack and Google Docs
- Self-directed, flexible, and strong sense of ownership
What the job involves
- As an Etsy Inc. employee, whether a team member of Etsy, Reverb, or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human
- We are looking for a Machine Learning Engineer II in Search Ranking team to understand buyer shopping missions, personalize content, and rank the most relevant search results to our buyers on search pages
- As a Machine Learning Engineer, you will work closely with applied scientist to build custom large-scale machine-learning models powered in production to deliver customer impact
- We are individuals who are data driven, and are passionate about making ML innovations in areas such as: Learning-To-Rank, Natural Language Processing, LLM, Reinforcement Learning to improve the Etsy search experience!
- We are a team of applied scientists, ML engineers, data analysts, and product managers, who work as a multi-functional team to build, improve and maintain online search ranking systems that can drive customer impact in Etsy
- We design, develop and maintain of large scale, performant machine learning systems
- We research and implement novel ML models to improve relevance and personalization in search results
- We influence product roadmap using data backed analysis
- Find opportunities to improve our buyers’ search experience and propose a project plan backed up with data analysis
- Scope data-driven projects and collaborate with internal & external teammates from Data, Modeling and ML Infrastructure
- Iterate quickly to design, implement, optimize, and test new modeling improvements in both offline and production A/B experiment settings
- Lead high code quality and engineering standards in the team; Maintain and improve core ML pipeline
- 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. A hike in transaction fees and the introduction of mandatory marketing fees for artists with high turnovers created significant discontent amongst sellers. Despite this, Etsy continues to connect artists and consumers, attracting 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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