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 Software Engineer to join our Machine Learning Systems team. We are looking for individuals who will push the boundaries of our ML infrastructure by investigating & building cutting-edge systems for Etsy. Ideal candidates have experience building platforms & services for Machine learning problems at scale. We are seeking individuals passionate about building systems & infrastructure for Recommender Systems, Information Retrieval, Natural Language Processing, Computational Advertising, Deep Learning, and Computer Vision.

This is a full-time position reporting to the Manager of ML Systems and the base salary range will be 142,000 - 184,000 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 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 the team like at Etsy? 

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.

What's the day-to-day look like? 

• Build and maintain real-time ML feature computations pipelines that enable online models
• Build infrastructure to support large-scale streaming computation platform for Machine Learning features
• Implement distributed services and end points for online feature retrieval
• Work closely with data scientists and researchers to support 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 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:

• Solid Infrastructure background with 1+ 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, 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 the 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, and Kubeflow.
• Preferred proficiency with data pipelines in Hadoop/Spark.
• Experience with streaming data and its application to ML solutions is a plus

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.