Found.dev
Role Highlights
Languages used
Python
SCALA
Java
SQL
S3
Key skills
Data Engineer
Data Analysis
Machine Learning
Data Science
Applied ML
LLMs
Music
AI
Backend
RAG
Optimization
Testing
Research
Cloud
ProtoTyping
DataFlow
Agile
Reliability
Audio
Streaming
Google Analytics
Console
Tools, Libraries and Frameworks
GCP
AWS
Apache
PyTorch
Tensorflow
Ray
Description
The role involves developing and refining machine learning systems to enhance content understanding for music, podcasts, and audiobooks. The individual will utilize large language models to solve complex language understanding problems and improve recommendation quality. Responsibilities include designing, building, and evaluating scalable systems while collaborating with cross-functional teams of engineers and researchers. The position requires performing data analysis to establish baselines and inform product development decisions. Additionally, the role focuses on driving optimization and tooling to improve content enrichment assets.
Required Qualifications and Skills
The role requires a strong background in machine learning with specific expertise in large language models and applied machine learning. Candidates must possess professional experience working in a product and data-driven environment using Python, Scala, Java, and SQL. Proficiency in cloud platforms such as GCP or AWS is necessary, along with experience architecting data pipelines using tools like Dataflow, Apache Beam, or Spark. Additionally, the position requires hands-on experience implementing machine learning systems at scale and familiarity with frameworks like PyTorch or TensorFlow.
Disclaimer
Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
About the company
Spotify
Description
Our mission is to unlock the potential of human creativityby giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by it. Spotify transformed music listening forever when it launched in Sweden in 2008. Discover, manage and share over 70m tracks for free, or upgrade to Spotify Premium to access exclusive features including offline mode, improved sound quality, and an ad-free music listening experience. Today, Spotify is the most popular global audio streaming service with 365m users, including 165m subscribers across 178 markets. We are the largest driver of revenue to the music business today.
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