Senior Applied Scientist, Etsy
Market Optimization
$184-216k
You will also be eligible for an equity package, an annual performance bonus
More information about location
eCommerce platform for handcrafted goods
Job no longer available
eCommerce platform for handcrafted goods
1001+ employees
Job no longer available
$184-216k
You will also be eligible for an equity package, 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 are a caring teammate who enjoys helping others
- Your growth mindset means you find happiness in continuous learning and self-improvement
- You care about how ML impacts real people
- 3+ years of experience in areas related to Search, Recommendation Systems, Personalization, and Applied ML
- Proficiency in writing high quality production code, demonstrating strong modeling, data understanding 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 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 Slack and Google Docs
- Self-directed, flexible, and strong sense of ownership
- A previous track record of publications in one of the following fields: information retrieval, recommendation systems, knowledge graphs, natural language processing, reinforcement learning
What the job involves
- This is a full-time position reporting to the Engineering Manager of Marketplace Optimization
- We are looking for an Applied Machine Learning Scientist in the Marketplace Optimization team to help understand buyer shopping missions, customers’ long term values, seller success, marketplace health and customer interest shift during the online shopping
- As an Applied Scientist, you will work closely with software engineers to build custom large-scale machine-learning models powered in production to deliver customer impact
- We comprise a team which are driven by data and passionate about innovating in the field of Machine Learning (ML)
- The Marketplace Optimization team is a part of the Search group at Etsy, who are committed to refining search ranking quality for both buyers and sellers
- The team is an eclectic mix of machine learning engineers, applied scientists, and a product manager
- Collaborating intensively with software engineers and various product and enablement teams throughout the organization, we are involved in the creation and execution of advanced machine learning algorithms that consistently facilitate improved search results
- Design, develop and maintain of large scale, performant machine learning systems
- Research and implement novel ML models to improve buyer shopping missions, customers’ long term values, seller success, marketplace health and customer interest shift in search results
- Work with analysts or independently on the pre-analysis and post-analysis before scoping projects
- Influence product roadmap using data backed analysis
- Mentor junior scientists on the team
- Find opportunities to improve our buyers’ search experience and propose a project plan backed up with data analysis
- Initiate and lead new tracks of work to improve ranking capabilities of Etsy’s Search engine
- Develop innovative ML ranking models that optimize for various business goals to power search at scale
- 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
- Draw conclusions from experiment results
- 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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