Senior Machine Learning Engineer
Teknik, data och digitalt · Data, AI och analys · Maskininlärning · Datavetenskap · Artificiell intelligens
I korthet
Spotify is seeking a Senior Machine Learning Engineer to join their Personalization team in New York. You will design, build, and deploy LLM-based solutions for music recommendations and playlist generation, collaborating with cross-functional partners to impact millions of users globally. The role requires a strong background in machine learning, NLP, and generative AI, with experience in production-ready ML systems and large-scale data processing tools.
Ansvarsområden
- Design, build, evaluate, and ship LLM-based solutions for adaptive listening experiences.
- Work on prompted playlist experiences focused on music fulfillment and session generation.
- Collaborate with user research, design, data science, product, and engineering teams.
- Prototype new ML approaches and deploy them at global scale.
- Build and improve systems connecting artists and fans.
- Contribute to scalable ML systems serving hundreds of millions of users.
- Promote best practices in ML system design, testing, evaluation, and deployment.
- Contribute to the machine learning practitioner community at Spotify.
Krav
- Experienced in machine learning and solving complex real-world problems.
- Strong background in machine learning, natural language processing, and generative AI.
- Comfortable applying theory to build real-world, production-ready applications.
- Hands-on experience building and deploying end-to-end ML systems at scale.
- Familiarity with LLM-based systems and techniques like reinforcement fine-tuning or DPO.
- Experience designing modular ML architectures and writing technical specifications.
- Experienced with large-scale distributed data processing tools (Apache Beam, Apache Spark).
- Experience with cloud platforms (GCP or AWS).
Önskade kvalifikationer
- Experience working on prompted playlist experiences with a focus on music fulfillment and session generation.
Förmåner
- The United States base range for this position is $184,050 - $262,928 plus equity.
- Health insurance
- Six months paid parental leave
- 401(k) retirement plan
- Monthly meal allowance
- 23 paid days off
- 13 paid flexible holidays
- Paid sick leave
- Extensive learning opportunities
- Flexible share incentives
- All The Feels, employee assistance program and self-care hub.
- Flexible public holidays.
#Machine Learning#Personalization#LLM#Generative AI#NLP