Machine Learning Engineer II, Content Understanding
Spotify - Boston, Massachusetts, us, 02298![Spotify](/api/image?src=https%3A%2F%2Fgeneral-board-default.s3.us-east-2.amazonaws.com%2Fpublic%2Fimages%2Fdesk-360x180.webp&w=640&q=75&f=webp)
Work at Spotify
Overview
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Overview
Build production systems that enrich and improve our listeners’ experience on the platform.Contribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands-on ML development.Prototype new approaches and production-ize solutions at scale for our hundreds of millions of active users.Help drive optimization, testing, and tooling to improve quality.Perform data analysis to establish baselines and inform product decisions.Collaborate with a cross functional agile team spanning design, data science, product management, and engineering to build new technologies and features.Who You Are
You have professional experience in applied machine learning.Extensive experience working in a product and data-driven environment (Python, Scala, Java, SQL, or C++, with Python experience required) and cloud platforms (GCP or AWS).You have some hands-on experience implementing or prototyping machine learning systems at scale.You have experience architecting data pipelines and are self-sufficient in getting the data you need to build and evaluate models, using tools like Dataflow, Apache Beam, or Spark.You care about agile software processes, data-driven development, reliability, and disciplined experimentation.You have experience and passion for fostering collaborative teams. Experience with TensorFlow, pyTorch, and/or Google Cloud Platform is a plus.Experience with building data pipelines and getting the data you need to build and evaluate your models, using tools like Apache Beam/Spark is a plus.Where You'll Be
We are a distributed workforce enabling our band members to find a work mode that is best for them!Where in the world? For this role, it can be within the Americas region in which we have a work location.Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options
here.Working hours? We operate within the Eastern Standard time zone for collaboration.The United States base range for this position is $136,878- $195,540 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.
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