Senior Engineering Manager, Models Enablement

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 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.

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We are looking for a Senior Engineering Manager to lead our Models team.

In this role, you will manage a team of motivated ICs to build the next generation of Etsy's models platform, which in turn will enable your customer teams to improve the quality of search, ads, recommendations, and other ML applications for nearly 100M buyers and over 5M sellers.

Do you have a passion for training, serving and scaling machine learning models? Are you excited by the challenges of building a platform for diverse machine learning use cases? Are you motivated to lead and develop ICs at different stages of their careers? If so, this could be the perfect match.

This opportunity is a full-time position reporting to the Director of Engineering for ML Enablement. This position will be in Brooklyn, NY or for remote candidates based in the United States. Etsy is one of the largest global marketplace platforms in the world, and offers three work modes to meet our team's various needs and preferences:
Flex mode for candidates who are comfortable traveling to an office location 4+ times per month, Remote mode, and Office-based mode. Learn more about our flexible work modes and vaccination policy here.

• The Machine Learning Enablement Initiative builds and maintains a complete ecosystem of ML systems including our feature & embeddings store, model training, serving, orchestration and testing infrastructure.

• The Models team is responsible for the model catalog, APIs, and serving infrastructure that runs our online models at high scale (millions of inferences per second). It is a small team historically focused on operations, but transitioning to play a more direct role in the application layer.

• The team is presently leading Etsy's migration from Tensorflow to Pytorch, building upon an innovative architecture designed in-house and based on KServe, NVIDIA Triton, Apache Arrow, and Ray. We are using this opportunity to fill in historical gaps in automation, integration, and standardization across the ML platform.

• We aspire to unify modeling approaches across all major ML development teams s is a big, challenging opportunity to influence how models are created, trained, and deployed across the entire company!

• Meet with customers to understand their latest use cases. Work with your team and partners to translate those use cases into concrete requirements. Offer an informed point of view on engineering, system design, and machine learning considerations.

• Keep track of ongoing issues (stability, performance, cost) with models on the platform, and identify short-term fixes and long-term platform improvements.

• Maintain a product roadmap, lead agile processes and plan work streams for a team of 4 ICs. Occasionally lead multi-functional  tiger teams  for dedicated projects.

• Coach your ICs and support their career development trajectories.

• Own and maintain the team's customer-facing surfaces: documentation, code examples, metrics, dashboards, UIs, launch announcements, etc.

• We are proud of our engineering culture that encourages career growth and learning in a blameless environment. You can learn more about our philosophies, tools, and some of the challenges we’ve been solving on our Engineering blog.

• 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.

• A strong track record of developing and serving machine learning models at scale, with at least 4…