Etsy is the global marketplace for unique and creative goods. We build,power, and evolve the tools and technologies that connect entrepreneurswith buyers around the world. As an Etsy employee, you’ll tackle uniqueproblems alongside talented coworkers committed to Keeping Commerce Human.We're large enough that you'll focus on meaningful, complex challenges, butsmall enough that you can make a rewarding impact.
Etsy is seeking an Engineering Manager to lead our Precise Recommendation team which is part of the Recommendations Initiative under the product engineering organization.
This is a full-time role located in our San Francisco, CA or Brooklyn, NY offices once they reopen, and will work closely with our Director of Engineering. We also welcome applications from those working remotely across the US. The role would report to the Director of Engineering for the Recommendations initiative.
As the Manager on recommendations, you will be responsible for closely collaborating with your product partner to drive the technical roadmap of buyer-centric recommendation products at Etsy with a focus on precision and unlocking novel pathways of browsing our inventory of 90 million items.
The ideal candidate should have relevant experience in leading building ML products for recommendations and personalization at scale and incorporating them into product experiences. Candidates should have relevant machine learning background, ability to understand product needs and manage technical tradeoffs with a focus on delivery, and a desire to coach and develop their team.
About the initiative
The Recommendation initiative is a cross-functional group of product engineers, machine learning data scientists, product managers, designers, user researchers, and analysts. The initiative is responsible for creating engaging experiences maximizing state of the art machine learning across our buyer journey that help over 45 million customers discover the right items. With over 90 million items offered by 2.7 million sellers, the group brings value to our buyers, sellers, and Etsy by balancing e-commerce best practices with the exciting challenges posed by operating at scale.
About the team
Precise Recommendation team’s mission is to create novel experiences that bring recommendations and pathways to the right item to the forefront at the right time in the buying journey. We believe that a great recommendation experience is built on helping buyers find the right item with ease. Our inventory at Etsy is extensive, unique, and one of a kind - buyers are easily overwhelmed and don’t know where to go. Recommendations and pathways to recommended items have the power to solve this problem. Our work relies on developing state-of-the-art ML and capabilities to serve fresh, dynamic, and tailored recommendations based on real-time context.
About the role
Partner with your product manager to create a technical roadmap aligned with the product's strategy.
Attract, hire, and retain an amazing team of high-calibre machine learning engineers and nurture their career growth through effective coaching and mentorship.
Collaborate and foster positive relationships with other functions such as Product, Experimentation and Research and ML teams across the company.
Work with the team to create effective processes that nurture a culture of excellence and incorporate the best machine learning and engineering practices.
Establish and drive OKRs that clearly define the goals and success metrics for your team.
At least 3+ years of technical experience as a data scientist or machine learning engineer solving real-world problems using large datasets.
1+ year experience directly managing engineers - including providing mentorship, feedback, and investing in their career growth.
Expertise in machine learning and practical deep learning methods for search optimization, recommendations and learning-to-rank problems.
You are passionate about solving challenging machine learning problems with a relentless focus on positively impacting our buying experience.
Outstanding written and oral communication skills with attention to detail.
MS/PhD in Computer Science, or related field or equivalent experience.
Experience with machine learning frameworks namely TensorFlow and PyTorch.
Experience with machine learning lifecycle platforms (Kubeflow), cloud data services (GCP, AWS) and ranking systems.
Excellent written and verbal communication skills, demonstrated through experience working with technical and non-technical teams.
Experience in leading remote teams is a plus (but not required).
Additional InformationWhat's Next
If you're interested in joining the team at Etsy, please send a coverletter and resume telling us why you'd be right for the position. As you'vehopefully seen already, Etsy is a place that values individuality andvariety. We don't want you to be like everyone else - we want you to belike you! So write to us and tell us what you're all about.Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace makesus a more relevant, more competitive, and more resilient company. Weencourage people from all backgrounds, ages, abilities, and experiences toapply. Etsy is an equal opportunity employer. We do not discriminate on thebasis of race, color, ancestry, religion, national origin, sexualorientation, age, citizenship, marital or family status, disability,gender, gender identity or expression, pregnancy or caregiver status,veteran status, or any other legally protected status. We will ensure thatindividuals with disabilities are provided reasonable accommodations toparticipate in the job application and interview process, to performessential job functions, and to receive other benefits and privileges ofemployment. While Etsy supports visa sponsorship, sponsorship opportunitiesmay be limited to certain roles and skillsets.For U.S. roles only:
Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We’re open to remote hires from all U.S. states except Hawaii and Alaska. For candidates who will work remotely from Colorado, visit this link for information related to Colorado's Equal Pay for Equal Work Act.