Machine Learning Engineer
7 days ago
We are seeking a skilled MACHINE LEARNING INFRASTRUCTURE ENGINEER to help us design and build the next generation of ML infrastructure at Spotify.
Our Mission: Enable every team at Spotify to iterate quickly on hypotheses and scale their experiments to data sets with hundreds of billions of data points.
What You'll Do:
- Develop infrastructure to apply machine learning methods to massive data sets in production environments
- Collaborate with cross-functional agile teams to build new product features
- Contribute to Spotify open source machine learning and data processing products
- Leverage your experience to drive best practices in ML and data engineering
- Gain a deep understanding of various models to understand their tradeoffs and bottlenecks
- Design machine learning platforms and pipelines for training and running models on distributed systems
About You:
- Have development experience with object-oriented programming languages
- Have previous industry experience with ML systems using frameworks like Scikit-learn and Tensorflow
- Have built APIs and libraries for Java, Scala, or Python
- Care about agile software processes, data-driven development, reliability, and responsible experimentation
- Have experience with data processing and storage frameworks like Google Cloud Dataflow, Hadoop, Scalding, Spark, Storm, Cassandra, Kafka, etc.
We are proud to foster a workplace free from discrimination and value diversity of experience, perspectives, and background.
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