Compensation Overview

Job Description

What’s the role?

Etsy is looking for a Senior Engineering Manager to lead our Models team to build its next-generation machine learning infrastructure. 

As the Senior Engineering manager you will be responsible for leading a team that focuses on building a low latency real time ML infrastructure that enables internal Etsy ML teams to build and serve machine learning models. You will also lead the team to optimize and create efficiencies for the training and prototyping phases of the ML life cycle.

The Models team is a platform that is part of Etsy’s Machine Learning Enablement organization.The team is responsible for developing building blocks to run ML models at scale, such as Etsy’s Model Serving platform. Our mission is to enable efficient and impactful machine learning across Etsy. In this role, you will manage and grow a high-performing distributed team, drive the vision and roadmap of different Models infrastructure and ML optimization strategy.

This is a full-time position reporting to the Director of Engineering, ML Enablement and the base salary range will be $226,000 to $271,000. 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?

• We’re a fast-growing team with the goal of building tools and platform capabilities for scientists and engineers to run predictions with our model serving platform, train state of the art models, deploy machine learning models to production, and test hypotheses quickly. 

• We support high visibility Machine Learning teams at Etsy including Search, Personalized Recommendations, Ads, Risk Decisioning etc.

What does the day-to-day look like?

• Manage and grow a team of outstanding machine learning engineers, software engineers, and tech leaders to design, build, and support Etsy’s machine learning systems such as our Model Serving Platform.

• Collaborate with other leaders at Etsy to drive the technical and strategic vision for advancing ML technology with a focus in Inference and training optimizations.

• Define the roadmap and supervise its execution. You will connect and coordinate business initiatives and team priorities.

• Provide technical guidance to the team to build an infrastructure that helps scientists to build state of the art ML models.

• Cultivate a strong engineering culture, responsible for delivering business results with the right quality and in a timely fashion

• 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.

Qualifications

Qualities that will help you thrive in this role are:

• Experience leading a team responsible for large-scale ML Infrastructure 

• Strong product sense – you take pride in building well designed products that ML practitioners love. Passion for translating the needs of ML practitioners into infrastructure offerings with an eye toward automated and self-serve capabilities

• Excellent at communicating context, giving and receiving feedback, fostering new ideas, and empowering others without micromanagement 

• 10+ years of total experience including 4+ years of engineering management 

• Experience with modern OSS ML frameworks such as Tensorflow, PyTorch, Ray. 

• Experience with GCP/Google Vertex.

• Experience building and scaling Python ML infrastructure. Experience or exposure to Scala would be a huge plus!

• Experience in ranking/retrieval domains (Search, Ads and Recommendations). 

• 4+ years of experience working with Kubernetes or other container orchestration systems

• BS/MS in Computer Science, Applied Math, Engineering or a related field 

• ML practitioner leader or individual contributor experience owning end-to-end ML functions for a product domain