Spotify is a leading audio streaming subscription service that aims to unlock human creativity. They are seeking a Senior Machine Learning Engineer to join their Personalization team, focusing on enhancing user satisfaction through advanced recommendation systems and machine learning techniques.
Responsibilities:
- Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands-on ML development
- Lead collaborations and align across PZN to integrate and A/B test mid-term signals in various recommendation systems
- Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization
Requirements:
- You have a strong background in machine learning, enjoy applying theory to develop real-world applications, with expertise in statistics and optimization, especially in sequential models, transformers, generative AI and large language models, and relevant fine-tuning processes
- You have hands-on experience with large cross-collaborative machine learning projects and managing stakeholders
- You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages
- Experience with PyTorch, Ray, Hugging Face and related tools is required
- You have some experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or even our open source API for it - Scio, and cloud platforms like GCP or AWS
- You care about agile software processes, data-driven development, reliability, and disciplined experimentation