Founded in 2005, Etsy is headquartered in Brooklyn, NY with additional offices in Dublin and Mexico City. As of December 31, 2023, our marketplaces connect 9 million active sellers – including 7 million on Etsy.com, 80% of whom are women – and 96 million active buyers in nearly every country in the world.

Senior Machine Learning Applied Scientist II, Machine Learning Team for Growth

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.

Senior Product Manager, Discovery

The Recommendations team at Etsy is responsible for developing end to end solutions to achieve experiences that connect buyers with the right products at the right time. We help buyers explore options based on their current needs and discover more they’ll love on Etsy! The squads within this team span app and web, ML/AI, and infrastructure.

 

 

What the day-to-day looks like

• Collaborate across functions to develop a product strategy and roadmap that addresses high upside customer problems
• Drive, socialize, and align teammates and leaders on key product decisions that shape the future of discovery on Etsy
• Partner with teams across Recommendations and beyond to build end to end solutions that deliver impact to our customers and the business
• Contribute to team culture, health, and success by identifying, advocating for, and taking action on opportunities to help teammates and the border team grow and thrive
• 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

• 5+ years of Product Management or comparable experience.
• Customer centric – have a deep desire to learn about and serve our customers and actively take steps to improve our understanding of and empathy for them
• Outcomes focused – embrace the need to deliver meaningful impact to our customers which in turn drives growth of the business, and have established a track record of doing so
• Ownership – operate with a sense of urgency to create clarity from ambiguity and feel empowered to fix what’s broken
• Collaborative – recognize that product development and company success is a team effort. You support cross-functional partners in contributing their unique expertise, optimize for broader team and company outcomes over your immediate team, and embrace that team success paves the path for individual success
• Analytical – are highly proficient in partnering with Research, Analytics, and other functions to acquire and leverage insights to shape our priorities and hypotheses
• Growth mindset – are curious and committed to learning. You also proactively give and embrace receiving the gift of feedback
• ML/AI – you have some experience or strong appetite for working on ML/AI driven solutions or partnering closely with teams that do so to achieve breakthrough solutions for customers

Senior Data Scientist, Risk & Fraud

Data scientists in the Trust & Safety organization use rigorous methods to generate insights that advise product, engineering, and operations decisions on risk. We collaborate with partner teams through all stages of development: actively uncovering opportunity areas, crafting experiments to test hypotheses, analyzing the impact of our efforts, and highlighting takeaways.

 

Learning new skills and techniques is not only a requirement but a perk of the job! We are always looking for opportunities to grow. Our mission is to guide our partner teams with data and insights and tell the story of how we manage risk — to teams, to senior management, and to the community.

 

What does the day-to-day look like?

• Working closely and collaboratively with our Risk & Fraud partners (Product, Operations and Engineering) to develop data-backed strategies to manage risk.
• Defining metric-focused goals around fraud prevention and employing sophisticated analyses and industry-leading measurement techniques to help the Risk & Fraud group attain these goals.
• Working to consistently deliver clear insights while building foundational metrics, data, and tools necessary to facilitate analytical excellence in the Risk space.
• 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:

• 5+ years of proven success on Analytics or Data Science teams with at least 3 years in fraud prevention, risk mitigation or trust & safety.
• Proficiency with advanced analytical methods such as predictive models, model performance evaluation, A/B testing frameworks, etc.
• Experience employing analytics to guide risk mitigation strategy in any area like Account Security, Chargebacks/Disputes, Payments fraud, First Party fraud, etc.
• 2+ years of proven success on Analytics or Data Science teams with at least 1 year in fraud prevention, risk mitigation or trust & safety.
• High proficiency with advanced analytical techniques using SQL and Python.
• A successful track record of distilling highly complex problems into narratives that are concise, action-focused, and memorable, and expressing your recommendations with both conviction and finesse.
• Ability to communicate insights to senior executives verbally, visually, and in writing.