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, Depop, or Elo7 – you’ll 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 looking for a Staff  Software Engineer to join our Machine Learning Infrastructure team. Our team's goal is to build real-time, configurable & scalable systems that enable state of the art machine learning algorithms for product experiences at Etsy.

We are looking for individuals who will push the boundaries of our ML platform by investigating & building cutting-edge systems for Etsy.   .

This is a full-time position reporting to the Senior Manager, ML Infrastructure. For this role, we are considering candidates based in the US who are either remote, flex, or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our flexible work options and vaccination policy here.

What’s this team like at Etsy?

• We're large enough that you'll focus on meaningful, complex challenges, but small enough that you can make a rewarding impact.
• We are seeking individuals passionate in building systems & infrastructure for Recommender Systems.
• We build platforms & services for Machine learning problems at scale.
• We work on information Retrieval, Natural Language Processing, Computational Advertising, Deep Learning and Computer Vision

What does the day-to-day look like?

• Embeddings Platform / Approximate Nearest Neighbor systems
• Realtime ML & Streaming services for Machine Learning
• Platform for Reinforcement Learning / Bandit algorithms
• Computer Vision pipelines & systems
• 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:

• You share our values (below) and are looking for a company that has a solid mission.
• Solid Infrastructure background with 5+ years of industry ML Engineering & systems experience.
• Background in Machine Learning and related fields (equivalent of B.S. degree or above in Computer Science, Electrical Engineering, Information Technology, Machine Learning, Operation Research, Statistics, Data Science or related engineering fields).
• Practical experience designing & architecting large scale machine learning systems.
• Strong engineering and coding skills, with ability to write high performance production code. Proficiency in Java, Python, Scala, and/or other equivalent languages.
• You have built distributed services with technologies such as Docker, Kubernetes, Spark etc.
• Hands-on experience in Machine learning frameworks & technologies such as Tensorflow / TFX, Pytorch, Kubeflow.
• Preferred proficiency with data pipelines in Hadoop/Spark.
• Experience with streaming data and its application to ML solutions is a plus.
• You have strong analytical and quantitative skills.
• Strong collaboration skills as well as both verbal and written communication skills.
• 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.

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. For candidates who will work remotely from Colorado, visit this link for information related to Colorado's Equal Pay for Equal Work Act.