Senior Software Engineer, Etsy
Machine Learning, Recommendation Ranking
$205-237k
+ Equity package
More information about location
eCommerce platform for handcrafted goods
Be an early applicant
eCommerce platform for handcrafted goods
1001+ employees
Be an early applicant
$205-237k
+ Equity package
More information about location
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: Ranking, Optimization, Natural Language Processing, Deep Learning and Graph Learning!
- You have experience of applying machine learning techniques in addressing real-world problems
- You have experience in one of the following fields: deep learning, multi-modal learning, natural language processing, graph learning, distributed training/serving
- You have experience with large datasets and developing scalable data pipelines
- You have deep familiarity with at least some of our tools: Python, Tensorflow, PyTorch, Spark, PySpark, Scala, Airflow
- You have a collaborative mindset and are comfortable working with a diverse range of roles and departments
- You write understandable and testable code. You have the ability to write and manipulate data at a large scale and you have an eye towards maintainability
- A degree in Computer Science or related engineering fields with at least two years of industry experience
What the job involves
- We are looking for an experienced Senior Machine Learning Engineer II to join our Recommendation Ranking team
- As a Senior Machine Learning Engineer II, you will work closely with Applied Scientist and Software Engineer to improve the shopping experience for 90+ million buyer
- This is a full-time position reporting to the Engineer Manager, Recommendation Ranking
- Our team develops Machine Learning models to understand buyers, personalize, and rank recommendations across Etsy.com and the Etsy app
- Develop models and pipelines with custom architecture or objective functions that target Etsy-specific problems
- Work closely with applied scientists, data scientists, product managers, and designers to set the future technical direction of Etsy’s recommendation system
- Engage in development work on projects, guide your team in technical decisions, deeply understand the problem space, and mentor engineers
- Collaborate with stakeholders and partner teams to design robust end-to-end solutions
- Process large datasets and develop scalable pipelines to support ML workflows
- Prototype, optimize, and productionize large-scale ML models that help deliver key results
- Conduct experiments (A/B testing etc.) to validate the effectiveness of ML models and pipelines
- 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.
Salary benchmarks
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