Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee, whether a team member of Etsy, Reverb, or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.
Salary Range:
$205,000.00 - $237,000.00What’s the role?
We’re looking for a Senior Applied Scientist II to join our Machine Learning Team for Growth. In this role, you’ll lead initiatives focused on leveraging machine learning to drive business growth across multiple channels—think email, push notifications, and paid advertising. You’ll be pioneering new solutions from the ground up, staying abreast of the latest research, and owning the end-to-end ML lifecycle—from data extraction to production deployment.
This is a full-time position reporting to the Engineering Manager, Ranking Recommendations. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy.
For this role, we are considering candidates based in the United States. Candidates living within commutable distance of Etsy’s Brooklyn Office Hub or in the San Francisco Bay Area may be the first to be considered. For candidates within commutable distance, Etsy requires in-office attendance once or twice per week depending on your proximity to the office. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more details about our work modes and workplace safety policies here.
What’s this team like at Etsy?
We’re scrappy and product-minded: we collaborate with teams who aren’t steeped in ML, and bring a clear ML vision that drives real business outcomes.
We’re not a research team, but we stay current with the latest papers so we can apply proven techniques quickly and effectively.
We focus on taking projects from 0 to 1 in areas and product spaces where ML is just getting started—think email campaigns, push notifications, and paid ads.
With 100+ million users and billions of messages and ads sent each month, our work directly impacts Etsy’s growth at a massive scale.
We strive for strong engineering etiquette—unit tests, design reviews, code reviews, and thorough documentation are all part of our daily workflow.
What does the day-to-day look like?
Take solutions from 0 to 1: You’ll be comfortable working in ambiguous problem spaces, experimenting, and driving projects from an initial idea to a fully operational ML product. You are comfortable proving out ideas quickly as well as establishing long term solutions.
Drive business growth through ML: Build and iterate on models that will inform campaigns and strategies for email marketing, push notifications, and paid media efforts.
Stay current with research: Read cutting-edge ML and AI papers and bring innovative, impactful techniques to solve real-world problems.
Productionize ML solutions: Develop robust systems for training, deploying, and monitoring ML models at scale.
Collaborate cross-functionally: Work closely with Applied Scientists, Data Engineers, Product Managers, and other stakeholders to align projects with broader product goals.
ETL and data analysis: Own critical data pipelines, perform exploratory analysis, and ensure data quality and reliability.
Experimentation and measurement: Design and execute A/B tests to measure the effectiveness of ML-driven features, iterating quickly based on findings.
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.
Qualities that will help you thrive in this role are:
Proven track record in ML: You have 3+ years of experience building and deploying ML solutions. You’re familiar with modern ML frameworks (such as TensorFlow or Torch), distributed computing, and cloud environments.
Strong coding skills: You write robust, production-quality code (Python, Scala, Java, or equivalent). You’re experienced with tools like Spark, GCP, and Airflow.
Hands-on experience across the pipeline: From data extraction and preprocessing to training, evaluating, and deploying models in production environments.
Comfort in ambiguity: You excel in situations where the scope is not fully defined, proactively finding clarity and driving forward.
Experience in search or recommender systems: Preferred but not required. This could include ranking algorithms, personalized recommendations, or large-scale search optimization.
Advanced degree in ML or related field: Preferred but not required. We recognize relevant industry experience can be just as valuable.
Collaboration and communication: You can articulate complex concepts to both technical and non-technical audiences and enjoy working on cross-functional teams.
If you’re excited about using machine learning to propel growth, enjoy taking on new and ambiguous challenges, and want to drive real impact, we’d love to hear from you!
You earnestly enjoy coding and love to raise the bar on engineering standards by championing best practices, clean code, and robust testing.
Additional Information
What's Next
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 Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.
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