Senior Staff Machine Learning Engineer
Flex- Full Time
- Senior (5 to 8 years)
Candidates should possess a Master's degree in Computer Science, Machine Learning, or a related field, and have at least 5 years of experience in developing and deploying machine learning models, with a strong focus on optimization and scalability. Expertise in machine learning frameworks such as Pytorch is required, along with experience in building efficient serving infrastructure and managing Kubernetes clusters in multi-region setups is essential. Familiarity with low-level machine learning libraries like Triton and C++ is also desired.
The Senior Machine Learning Engineer will collaborate with a multidisciplinary team to optimize machine learning models for production use cases, ensuring they are highly efficient and scalable. They will design and build efficient serving infrastructure for machine learning models, lead the effort to transition models from research to production, and build and maintain scalable Kubernetes clusters. Furthermore, they will implement and monitor logging metrics, diagnose infrastructure issues, contribute to an on-call schedule, and influence technical design decisions to support new machine learning architectures, all while collaborating with stakeholders to drive forward initiatives related to model deployment and optimization at scale.
Digital music streaming service with podcasts
Spotify provides a digital music streaming service that allows users to access millions of songs and podcasts from various artists and creators. Users can choose between a free plan, which includes advertisements, and a premium subscription that offers an ad-free experience along with features like offline listening and higher sound quality. This tiered model caters to different user preferences and budgets. Spotify generates revenue through subscription fees from premium users and advertising from the free tier. Unlike its competitors, Spotify stands out with its extensive music library, user-friendly interface, and personalized playlists. The company's goal is to connect listeners with a wide range of audio content while supporting artists and advertisers.