Staff Machine Learning Engineer, Etsy
Search Retrieval
$196-294k
+ Equity & an annual performance bonus. Salary varies depending on location
More information about location
eCommerce platform for handcrafted goods
Be an early applicant
eCommerce platform for handcrafted goods
1001+ employees
Be an early applicant
$196-294k
+ Equity & an annual performance bonus. Salary varies depending on location
More information about location
1001+ employees
Company mission
To keep human connection at the heart of commerce.
Role
Who you are
- If you're excited about using modern ML to improve search experiences and connect people with meaningful, one-of-a-kind finds, we'd love to hear from you
- Hands-on experience building retrieval or search systems end-to-end, including some combination of lexical matching, semantic/embedding-based retrieval, indexing, and low-latency serving, and taking them from prototype to production
- Proven track record of delivering impactful machine learning and NLP solutions across the full pipeline: from data extraction and feature engineering to model development, evaluation, and seamless production integration
- Experience designing scalable and extensible ML systems that account for localization and regional variation, enabling global product impact
- Demonstrated technical leadership on complex ML systems, setting technical direction, driving cross-team initiatives, and raising the engineering bar for others
- Strong software engineering foundations with a focus on writing clean, maintainable, and production-ready code; proficient in Python, Java, Scala, or equivalent languages
- Hands-on experience with modern ML frameworks and infrastructure, such as PyTorch, TensorFlow/TFX, and a deep understanding of their use in production environments
- Ability to translate abstract ideas into reliable, well-tested code that is easy to understand and evolve by teammates and your future self
- A collaborative and empathetic team member who communicates clearly and constructively across disciplines
What the job involves
- We’re looking for a Staff Machine Learning Engineer I to join the Search Retrieval team at Etsy. Our mission is to build efficient, scalable, and intelligent retrieval systems that surface the most relevant listings from a catalog of over a hundred million unique and creative items. We combine lexical matching, semantic retrieval, and hybrid models to power the first step in Etsy’s search stack, which helps buyers discover items they'll love
- In this role, you’ll stay on top of cutting-edge research in information retrieval and machine learning, and apply the best ideas in production to solve real-world challenges. You’ll collaborate with a cross-functional team of engineers, applied scientists, and product managers to deliver robust systems and models, and evaluate them through live A/B experiments on Etsy.com
- You'll own models end-to-end — from data and feature pipelines through training, evaluation, and production serving — and you'll be responsible for the systems that keep them running at Etsy scale
- This is a full-time position in Search Retrieval team, reporting to its Engineering Manager
- We apply cutting-edge machine learning, deep learning, and information retrieval techniques to solve high-impact problems at Etsy scale. You’ll work on challenges such as:
- Designing and improving retrieval engines that power Etsy Search, incorporating techniques like dual-encoder models, vector similarity search, and query expansion
- Building large-scale indexing and serving systems for lexical and semantic retrieval
- Collaborating with applied scientists and engineers to bring retrieval models to production, optimize latency and throughput, and scale up across Etsy’s catalog
- Conducting offline and online experiments to evaluate model quality, latency, and buyer impact
- Architect and scale advanced retrieval systems that optimize relevance, recall, latency, and resilience in production
- Lead cross-functional collaborations to shape and prioritize initiatives that directly drive product impact and strategic goals
- Take retrieval techniques from research and prototypes into reliable, production-grade systems, owning the full path from experimentation to launch
- Design and analyze complex A/B experiments, setting a high bar for methodological rigor and measurable relevance improvements
- Investigate and resolve nuanced issues in retrieval behavior, leading efforts to enhance candidate recall, coverage, and diversity across user experiences
- Partner closely with product and engineering leadership to define and deliver roadmaps spanning immediate priorities and long-range initiatives (6–12 months+)
- Act as a technical thought leader in retrieval, mentoring engineers and scientists, and influencing the broader direction of Etsy’s search systems
- As with any high-impact role, flexibility is key. Responsibilities may evolve over time in response to business needs and opportunities
- 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
Application process
- If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about
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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