Engineering Manager, Machine Learning for Growth - Etsy : Job Details

Company DescriptionEtsy 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:$226,000.00 - $294,000.00

What's the role?

Etsy is seeking an Engineering Manager to establish and lead a new machine learning team that is improving the buying experience on our marketplace. You'll help deliver robust, scalable production models that will be A/B tested live on Etsy.com. Staying at the forefront of the ML field, you'll bring its best ideas to life for millions of Etsy shoppers. Your team will test new ideas, and pioneer solutions from the ground up, being responsible for the end-to-end ML lifecycle.

Does using the latest machine learning techniques to help people find the perfect item and have a delightful shopping experience sound exciting to you? If so, we'd love to hear from you!

This is a full-time position reporting to the Director of Engineering within the Growth Engineering team. 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?

This team plays an important role in crafting how buyers interact with the Etsy marketplace, helping them discover what they love and make a purchase with ease.

Here's a glimpse of the problems you'll help solve:

• Leverage Large Language Models (LLMs) to generate concise, insightful summaries of product reviews, allowing shoppers to quickly grasp key information and make confident purchase decisions.
• Develop machine learning models to personalize the buyer's browsing experience, highlighting products and information most relevant to their individual shopping mission and preferences.
• Apply machine learning to identify optimal moments and methods for engaging buyers, tailoring their journey to inspire confidence and increase the likelihood of a successful purchase.
• Implement machine learning systems to analyze buyer behavior and feedback, enabling continuous improvement of the Etsy platform and ensuring a delightful shopping experience for millions.
• Leverage existing ML infrastructure and partnerships with platform teams to build scalable and modular ML systems across our mobile app and web platforms.

What does the day-to-day look like?

• Help to build a new ML team within the context of product engineering, establishing effective process that increases collaboration across disciplines.
• Lead a fast paced, data-driven, and agile team of 4-7 machine learning scientists and engineers to build systems that measurably improve the buying experience in close partnership with product teams.
• Take part in the end-to-end recruiting process, hiring and onboarding exceptional engineering talent.
• Serve as a coach, mentor, and advocate for the engineers on your team.
• Work with other leaders within engineering to develop and evolve engineering processes and standard methodologies.
• Establish strong cross-functional relationships with product engineers, product managers, user researchers, designers, analysts as well as platform, data, and infrastructure teams.
• Leverage established tools built by our ML platform teams and help create new paved paths within product engineering context.

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:

• Strong hands-on experience in Machine Learning, including high-volume data processing, model deployment, and best practices.
• Proven ability to lead teams with applied scientists and machine learning engineers.
• Experience working within a product engineering context to build end-to-end systems with non-ML teams.
• Excellent written and oral communication skills for effective collaboration with cross-functional teams (Design, Product, Analytics).
• Experience in shaping team processes for efficient delivery and contributing to technical strategy and an ability to promote high-quality technical decision-making and empower engineers.
• Experience coaching and mentoring engineers through significant career achievements.
• A strong understanding of how to apply team processes efficiently to maximize productivity.
• Comfort and proficiency in an environment that emphasizes experimentation and data-driven decisions.

Additional InformationWhat's NextIf 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 PromiseAt 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, or any other characteristic protected by applicable law. If, due to a disability, you need an accommodation during any part of the application or interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.