About the Role
Role details below.
Responsibilities
- Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands-on ML development
- Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization
- Lead collaborations and align across PZN to integrate and A/B test mid-term signals in various recommendation systems
Requirements
- Strong background in machine learning
- Enjoy applying theory to develop real-world applications
- Expertise in statistics and optimization, especially in sequential models, transformers, generative AI and large language models, and relevant fine-tuning processes
- Hands-on experience with large cross-collaborative machine learning projects and managing stakeholders
- 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
- Some experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or Scio
- Experience with cloud platforms like GCP or AWS
- Care about agile software processes, data-driven development, reliability, and disciplined experimentation
Benefits
- 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
- Equity
Compensation
The United States base range for this position is $227,495 - $324,993 equity
Additional Information
- Spotify is an equal opportunity employer
