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SeniorFull-timePythonJavaAWSGCPMachine LearningPyTorchAgileAIAPIML
Salary Range
$132,600 - $179,400 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Machine Learning Engineer to join Spotify’s Personalization team, responsible for creating some of the most-loved features like Blend and Discover Weekly. This role focuses on making impactful changes to Home recommendation systems to enhance user satisfaction.
Key Responsibilities
- →Contribute to designing, scaling, building, evaluating, integrating, shipping, and refining reward signals for recommendations through hands-on ML development.
- →Lead collaborations across PZN to integrate and A/B test mid-term signals in various recommendation systems.
- →Promote and model best practices of ML systems development, testing, and evaluation throughout the organization.
Requirements
- ✓Strong background in machine learning with expertise in statistics, optimization, sequential models, transformers, generative AI, and large language models.
- ✓Hands-on experience with large cross-collaborative machine learning projects and managing stakeholders.
- ✓Experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages.
- ✓Experience with PyTorch, Ray, Hugging Face, and related tools.
- ✓Familiarity with large-scale, distributed data processing frameworks like Apache Beam, Apache Spark, Scio, and cloud platforms like GCP or AWS.
- ✓Commitment to agile software processes, data-driven development, reliability, and disciplined experimentation.
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