Senior Machine Learning Engineer, Home Next Formats
Job Description
Spotify, the world's leading audio streaming platform, is seeking a Senior Machine Learning Engineer to join their Home Next Formats team. This role is crucial in advancing Spotify's audiobook recommendations by creating engaging products that leverage both podcast and audiobook listening patterns. The position offers an exciting opportunity to work with cutting-edge technologies, including future implementations of LLMs and Generative Recommenders.
The role combines technical expertise in machine learning with practical application at scale, serving hundreds of millions of active users. You'll be working on complex real-world problems, implementing sophisticated ML solutions for personalization, and collaborating with cross-functional teams spanning research, design, data science, and product management.
As a Senior ML Engineer, you'll be responsible for designing and implementing end-to-end production ML systems, working with technologies like Python, Java, Scala, and frameworks such as PyTorch and TensorFlow. The position requires expertise in distributed computing and cloud platforms, making it perfect for those who enjoy working with big data and scalable solutions.
The compensation package is competitive, ranging from $176,166 to $251,666, plus equity and comprehensive benefits. Spotify offers an inclusive work environment, embracing diversity and providing reasonable accommodations for all employees. The company's mission of unlocking human creativity and connecting artists with fans makes this an exciting opportunity for those passionate about the intersection of technology and entertainment.
Responsibilities For Senior Machine Learning Engineer, Home Next Formats
- Design, build, evaluate, and ship ML solutions for safety in Spotify's personalization products
- Collaborate with cross functional teams to build new product features
- Prototype new approaches and productionize solutions at scale
- Promote and role-model best practices of ML systems development
- Be part of an active group of machine learning practitioners
Requirements For Senior Machine Learning Engineer, Home Next Formats
- Experienced ML practitioner
- Strong background in machine learning, natural language processing, and/or generative AI
- Hands-on expertise with implementing end-to-end production ML systems at scale in Java, Scala, Python
- Experience with Pytorch, TensorFlow, Scikit-learn
- Experience with designing end-to-end tech specs and modular architectures
- Experience with large scale, distributed data processing frameworks like Apache Beam, Apache Spark, and cloud platforms like GCP or AWS
Benefits For Senior Machine Learning Engineer, Home Next Formats
- 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
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