Staff Machine Learning Engineer, ML Systems

Job Description

Etsy is looking for a Staff Machine Learning Engineers to join our Machine Learning Systems 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 & systems 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 in building systems & infrastructure for Recommender Systems, Information Retrieval, Natural Language Processing, Computational Advertising, Deep Learning and Computer Vision.

Please check dsml.etsy.com for more information about the team.

What We’re Working On

• Platform for Reinforcement Learning / Bandit algorithms

• Computer Vision pipelines & systems

• Realtime ML & Streaming services for Machine Learning

• Centralized Feature Store

• Embeddings Platform / Approximate Nearest Neighbor systems

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

Qualifications

Who You Are

• You share our values (below) and are looking for a company that has a solid mission.

• Solid 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).

• 5+ years of industry ML Engineering & systems experience.

• Strong engineering and coding skills, with ability to write high performance production code. Proficiency in Java, Python, Scala, and/or other equivalent languages.

• Practical experience designing & architecting machine learning systems.

• Hand-on experience in Machine learning frameworks & technologies such as Tensorflow / TFX, Pytorch, Kubeflow.

• You have strong analytical and quantitative skills. You are familiar with techniques in at least one of the following fields: Machine Learning, Data Mining, Recommender Systems, Information Retrieval, Natural Language Processing, Computational Advertising, Deep Learning and Computer Vision.

• Preferred proficiency with data pipelines in Hadoop/Spark.

• Experience with streaming data and its application to ML solutions a plus.

• Strong collaboration skills as well as both verbal and written communication skills.

What we care about

• 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

At Etsy, we believe that a diverse, equitable and inclusive workplace makes us a more relevant, more competitive, and more resilient company. We welcome people from all backgrounds, ethnicities, cultures, and experiences. Etsy is an equal opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender identity or expression, veteran status, or any other legally protected status. We will ensure that individuals with disabilities are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skillsets.