Engineering Manager, ML Platform

Brooklyn, NY, United States

Applications have closed

Etsy

Find the perfect handmade gift, vintage & on-trend clothes, unique jewelry, and more… lots more.

View company page

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

Job Description

What’s the role?

Etsy is seeking an experienced, customer-centric Engineering Manager to lead our Machine Learning Platform Team supporting Recommendations. This team is a part of the larger initiative supporting personalization of a buyer’s shopping experience  and enables over 20+ product teams to build ML-powered recommendations, personalization, and discovery products. As a Manager on the Perso Engine Foundations Team, you will be directly responsible for enabling the science & algorithm teams within Perso Engine, as well as creating tools and platforms that allow the rest of the company to easily understand and access the ML-powered “building blocks” that Perso Engine develops. You will also work closely with the centralized ML Enablement organization to build on top of their foundational ML infrastructure.

This is a full-time position reporting to the Senior Manager of Engineering and the base salary range will be $197,000-$257,000  . 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?

The Personalization Foundations team is in the Accelerator Initiative that develops and maintains the core infrastructure, customer interfaces, and tooling that empowers and accelerates ML-driven personalization at scale across Etsy. 

  • We are customer centric! We drive impact by leveraging our talent and resources to  build the tools and platforms that our customers need and want the most.

  • We have a wide remit, and our scope of work ranges from large-scale, distributed systems, to front-end API gateways, to internal tools for non-technical audiences. 

  • In order to serve our customers, we are creative and resourceful, trading off short and long-term solutions strategically. 

  • In order to build impactful, large-scale systems and tools, we work closely with ML scientists and engineers and  solve complex engineering problems.

 

What does the day-to-day look like?

  • Define a strategy for the team that ladders up to the goals of the Perso Platform Initiative

  • Manage cross-functional relationships with downstream data and infrastructure teams

  • Foster a culture of collaboration with science & algorithms teams within Perso Engine

  • Manage relationships with customer teams, marketing and democratizing capabilities

  • Coach and develop career opportunities for squad leads

  • 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.

Qualifications

Qualities that will help you thrive in this role are:

  • Customer-centric mindset while balancing your teams’ desire to grow in skill and scope

  • Previous hands-on experience in building large-scale, distributed ML systems

  • Experience working with machine learning systems and alongside scientists and MLEs

  • Proven track record for platform or infrastructure teams

  • Excellent written and oral communication skills in order to advocate and bring visibility to your Initiative while managing important cross-functional relationships

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 and is an affirmative action employer. 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.

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.

Tags: APIs Distributed Systems Engineering Machine Learning ML infrastructure

Perks/benefits: Career development Competitive pay Equity Salary bonus

Regions: Remote/Anywhere North America
Country: United States
Job stats:  37  10  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.