Senior Machine Learning Engineer II, Fulfillment

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.

Salary Range:

What’s the role?

We are looking for a Senior Machine Learning Engineer II to join the Fulfillment Machine Learning team at Etsy. We develop efficient, state-of-the-art models to create the most reliable fulfillment experience for our buyers whilst highlighting the human side of Etsy’s sellers and their unique inventory.

In this team, you'll work closely with Applied Scientists, Machine Learning Engineers and other stakeholders to follow the latest research and implement its best ideas efficiently, at scale for the benefit of Etsy's buyers and sellers. Working hands-on with a cross-disciplinary team, you will deliver robust production models that will be A/B tested live on Etsy across multiple platforms.

This is a full-time position reporting to the Senior Engineering Manager Fulfillment, 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 does the day-to-day look like?

• You will work in a cross-functional team to prioritize projects which help achieve our product targets.

• You will build, deploy, test and maintain scalable machine learning models by applying the latest concepts in research and industry.

• Use machine learning to improve Etsy buyer’s fulfillment and delivery experiences

• Use forecasting, operations research, and network optimization to predict and improve Etsy’s delivery performance

• Develop models with custom architecture or objective functions that target Etsy-specific problems, including but not limited to revenue optimization, seasonality

• You will run various A/B experiments to improve Fulfillment reliability

• You will work work closely with our product manager to help build roadmaps which range between a few weeks to 6-12 months

• 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.

Qualities that will help you thrive in this role are:

• 3+ years of Experience in building production ML systems

• You have experience developing impactful solutions to machine learning problems involving some or all of the following parts of the pipeline: data extraction, developing and training machine learning models, model evaluation, active learning and working the new model into production applications.

• You have strong engineering and coding skills, with the ability to write high quality production code. Proficiency in Python, Scala, Java and/or other equivalent languages. 

• Experience with/working in one of the following fields: forecasting, delivery optimization, network optimization, revenue optimization, machine learning

• Demonstrated success developing productionized machine learning systems. You are comfortable with using git, docker, and other tools for writing robust, production-ready code

• Ability to write and manipulate data at a large scale, in distributed environments

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. 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.