Machine Learning Research Engineer
RoboflowFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Candidates should have a strong background in machine learning and recommender systems, bridging research and user impact. They need hands-on experience training and operating transformer models in production, or a strong interest in doing so, along with production experience developing large-scale ML systems in Java, Scala, Python, or similar languages. Experience with PyTorch or TensorFlow is a strong plus. Candidates must be comfortable navigating ambiguity, leading high-impact projects from start to finish, be systems thinkers, and strong communicators who can align and influence technical and product stakeholders. They should care deeply about agile processes, data-driven development, and reliability, and be eager to apply emerging ML trends, particularly in LLMs and generative recommenders, to Spotify’s challenges.
The Staff Machine Learning Engineer will define and drive the ML technical strategy for Search, focusing on retrieval, ranking, and generative approaches. They will build models that improve query understanding, personalization, and relevance across Spotify’s Search experiences. Responsibilities include collaborating with a cross-functional agile team, prototyping and productionizing new modeling approaches at scale, and leading high-impact projects from ideation through deployment. They will set best practices for ML development, testing, evaluation, and experimentation, partner with tech leaders and stakeholders to influence priorities, and stay engaged with the broader ML and Search research community, applying emerging trends to Spotify’s challenges.
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.