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?

We are looking for a Senior Staff Software Engineer, ML Systems to build and scale Etsy’s feature store. As the Senior Staff Software Engineer, you will be responsible for building and scaling a Etsy’s next generation centralized Feature Systems, with strong emphasis on building a distributed low latency serving layer that is operational under high load, that will support various high visibility Machine Learning teams at Etsy including Search Ranking, Personalized Recommendations, etc.

Do you find joy in sophisticated architectures that involve distributed systems, machine learning and multiple collaborators? If so, this could be the perfect match.

• Build and maintain a centralized Feature Store and a distributed low latency serving layer operational under high load, that will support various high visibility Machine Learning teams at Etsy including Search Ranking, Personalized Recommendations, etc.
• Build scalable and resilient services and APIs for product teams to interact with feature systems and model training and add new Machine Learning features.
• Develop and maintain distributed infrastructure with the containerized environment and optimized storage layer to support Machine Learning feature development and retrieval.
• Coach and train junior team members across multiple teams.
• Actively work with leadership and product teams on the roadmap and new features.
• Lead and coordinate cross-team projects across the organization and actively promote best practices and industry standards to maintain the high quality of the product and services.

This is a full-time position reporting to the Director of Retrieval Platform and the base salary range will be $218,000 - $262,000 USD per year. 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, however candidates living within commutable distance of the Etsy Brooklyn Hub, or within the San Francisco area, will be the first to be considered. Even if located within commuting distance of an office, you will have the option to work office-based, flex, or remotely. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our Flex and Office-based work modes and workplace safety policies here.

What's this team like at Etsy?

The ML enablement organization’s mission is to enable efficient and impactful machine learning across Etsy as a platform. Do you find joy in sophisticated architectures that involve distributed systems, machine learning and multiple collaborators? If so, this could be the perfect match.

• Build and maintain a centralized Feature Store and a distributed low latency serving layer operational under high load, that will support various high visibility Machine Learning teams at Etsy including Search Ranking, Personalized Recommendations, etc.
• Build scalable and resilient services and APIs for product teams to interact with feature systems and model training and add new Machine Learning features.
• Develop and maintain distributed infrastructure with the containerized environment and optimized storage layer to support Machine Learning feature development and retrieval.
• Coach and train junior team members across multiple teams.
• Actively work with leadership and product teams on the roadmap and new features.
• Lead and coordinate cross-team projects across the organization and actively promote best practices and industry standards to maintain the high quality of the product and services.

What does the day-to-day look like?

• Solid Infrastructure background with 10+ years of industry experience (with at least 5 years of experience as a Tech lead) working on distributed systems, ML infrastructure and other high scale applications. 
• You have a track record of delivering on large scale organizational wide impact projects
• Background in Computer Science and related fields (equivalent to a B.S. degree or above in Computer Science, Electrical Engineering, Information Technology or related engineering fields).
• Practical experience designing & architecting large-scale distributed systems and machine learning systems.
• Strong engineering and coding skills, with the ability to write high-performance production code. Strong proficiency in scala (including functional programming paradigms and testing frameworks) is a must.
• You have built distributed services with technologies such as Docker, Kubernetes, gRPC, Spark, and have strong familiarity with concurrency frameworks and performance tuning that build low latency applications.
• Proficiency with data pipelines in Spark is a plus.
• Experience with streaming data and its application to ML solutions is a plus
• 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:

• Growth mindset. You have a strong desire to learn and grow, and aim to drive the most business value for your customers
• Curiosity and humility. We are dedicated to learning and constantly improving. We hope you also value things like blameless postmortems and have a natural drive to figure out how everything works.
• Keeping it real. Etsy’s mission and values are a part of everything we do. We care about how our work affects real people in the community and enjoy opportunities to meet them. We are motivated by this mission every day.
• You have strong analytical and quantitative skills.
• Tight-knit collaboration skills as well as both verbal and written communication skills.
• You are a multiplier in the organization, and enjoy growing other engineers around you in the process.

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.