Staff ML Infra Engineer, Etsy
$218-257k
+ 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
$218-257k
+ 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
- This role demands a strategic problem solver with deep technical expertise, outstanding problem-solving skills, and a strong passion for building systems that empower others to succeed
- Experience designing and building low-latency, high-scale distributed systems
- Hands-on experience with cloud platforms like Google Cloud or AWS
- Solid foundation in platform engineering with strong troubleshooting abilities
- A collaborative attitude and excellent communication skills, with a track record of mentoring and enabling the growth of fellow engineers
- Preferred: Prior experience with feature systems and machine learning platforms
- Preferred: Advanced proficiency in Scala
What the job involves
- We are looking for a Staff Software Engineer to join the Features & Embeddings Infra team for building and scaling the machine learning platform at Etsy
- As a Staff Engineer on the Features and Embeddings Infrastructure team, you will own the technical direction for building robust, scalable systems for feature engineering and embeddings storage and retrieval, enabling ML engineers and data scientists to deliver impactful, data-driven experiences to our customers
- This is a full-time position reporting to the Engineering Manager
- As a platform team with a customer focussed perspective, we tackle meaningful, complex challenges and build scalable solutions, enabling impactful contributions
- We design and maintain 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
- Play a pivotal role in developing feature systems that power multiple business-critical machine learning use cases at Etsy
- Design, build, and support core services and infrastructure for the entire feature lifecycle, including discovery, ingestion, retrieval, and training, while participating in on-call production support rotations
- Collaborate cross-functionally with platform teams, machine learning teams, and product partners to create the next-generation high-availability feature platform in the cloud
- Partner closely with product teams to run user-facing experiments, aligning our platform KPIs with measurable business outcomes like revenue
- Embrace a culture of continuous learning and an agile delivery approach to stay focused and aligned with evolving goals
- 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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