Machine Learning Software Engineer
1 week ago
We're looking for a highly skilled Senior Personalization Engineer to join our team at Spotify. You'll be responsible for designing, building, and refining AI-powered features that make Spotify safer and more enjoyable for users. Your focus will be on creating innovative personalization solutions using machine learning algorithms and scalable engineering practices.
About the Role:
This is an exciting opportunity to join our Safe-and-Sound team in New York, where you'll collaborate with cross-functional teams to develop new product features that advance our mission. You'll work closely with data scientists, engineers, and designers to deliver high-quality results and ensure user safety and satisfaction.
Key Responsibilities:
* Develop and implement advanced personalization algorithms using machine learning techniques
* Design and build scalable engineering solutions to support large-scale deployment of AI features
* Collaborate with data scientists and analysts to gain insights into user behavior and preferences
* Work with designers to create intuitive user interfaces that showcase personalized content
* Drive process improvements to enhance efficiency and effectiveness across the team
Requirements:
* Advanced degree in Computer Science, Mathematics, or related field, or equivalent experience
* Proven track record of developing and deploying successful AI-powered personalization features
* Excellent knowledge of machine learning algorithms and deep learning techniques
* Experience with agile software development methodologies and version control systems
What We Offer:
* Competitive salary range: $136,878-$195,540 plus equity
* Comprehensive health insurance
* Generous parental leave policy
* Opportunities for professional growth and development
As a Spotify employee, you'll enjoy a dynamic work environment that encourages creativity, innovation, and collaboration. With our focus on empowering artists and fans, you'll have the chance to make a meaningful impact on the music industry.
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