Engineering Manager, Etsy
ML Training Data Team
$226-294k
+ Equity package + Annual performance bonus
More information about location
eCommerce platform for handcrafted goods
Open for applications
eCommerce platform for handcrafted goods
1001+ employees
Open for applications
$226-294k
+ Equity package + Annual performance bonus
More information about location
1001+ employees
Company mission
To keep human connection at the heart of commerce.
Role
Who you are
- Experience leading a team responsible for large-scale ML Infrastructure teams, with 7+ years of Software development experience including 2+ years of engineering management
- A strong product sense: you take pride in building well designed products that ML practitioners love. Passion for translating the needs of ML practitioners into infrastructure offerings with an eye toward building large scale data systems to support ML training
- Excellent at communicating context, giving and receiving feedback, fostering new ideas, and empowering others without micromanagement
- ML practitioner leader or individual contributor experience owning end-to-end ML functions for a product domain
- You have a background in Computer Science and related fields, equivalent to a B.S. degree or above in Computer Science, Electrical Engineering, Information Technology, or related engineering fields
- You have practical experience in designing and architecting large-scale distributed systems and machine learning infrastructure
- You possess strong proficiency in creating and optimizing large-scale Spark & Dataflow pipelines, as well as general data infrastructure technologies. This includes the ability to optimize storage formats and reduce job runtime & costs
- You possess a strong understanding of ML foundations and extensive knowledge of the intricacies involved in ML development and training processes
What the job involves
- As the Engineering Manager you will be responsible for building and scaling our ML Training data team at Etsy
- We are working on cutting-edge foundational tools at Etsy that accelerate model prototyping and development by generating datasets for model training with point-in-time accuracy, ensuring minimal training-serving skew
- It's an integral part of our ML Enablement efforts, enhancing the efficiency and accuracy of our data-driven solutions, that will support various high visibility Machine Learning teams at Etsy including Search Ranking, Personalized Recommendations, etc
- The Training data team is part of the ML Enablement organization. Our mission is to enable efficient and impactful machine learning across Etsy as a platform
- The broader ML Enablement team maintains systems that enable feature creation, storage, retrieval, as well as embeddings workflows that power personalized search, recommendations, and more
- Our work drives innovation and enhances the experience for millions of Etsy buyers and sellers
- As a platform team with a customer focussed perspective, we tackle meaningful, complex challenges and build scalable solutions, enabling impactful contributions
- Manage and grow a team of outstanding machine learning engineers, software engineers, and tech leaders to design, build, and support Etsy’s Training data systems
- Collaborate with other leaders at Etsy to drive the technical and strategic vision for advancing ML technology with a focus on ML infrastructure tools for generating training datasets for model training with point-in-time accuracy
- Define the roadmap and supervise its execution. You will connect and coordinate business initiatives and team priorities
- Provide technical guidance to the team to build an infrastructure that helps scientists to build state of the art ML models
- Cultivate a strong engineering culture, responsible for delivering business results with the right quality and in a timely fashion
- 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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