Spotify - Senior Staff Machine Learning Engineer
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Requirements
• You have a strong background in machine learning and recommender systems, and you know how to bridge research and end-user impact • You have production experience developing large-scale machine learning systems in Java, Scala, Python, or similar languages. Experience with PyTorch, Tensorflow, JAX is a strong plus • You have hands-on experience training and operating transformer models in production settings, or a strong interest in doing so • You enjoy leading projects from start to finish working closely with your team and peers • You are comfortable dealing with ambiguity on high impact projects • You’re a strong communicator and systems thinker who can drive alignment and influence across technical and product stakeholders • You care about agile software processes, data-driven development, reliability, and disciplined experimentation • You stay current on ML trends and are eager to apply emerging ideas to Spotify’s challenges • At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
Responsibilities
• Contribute to defining the machine learning technical strategy at the intersection of generative recommenders and foundational user modeling • Collaborate with a cross functional agile team spanning user research, design, data science, product management, and engineering to build new product features that connect fans and artists in personalized, meaningful ways • Provide expert technical leadership and direction to accelerate development, ensure scalability and push the boundaries of current methods • Contribute to designing, building, evaluating, shipping, and refining Spotify’s personalization products by hands-on ML developmentPrototype new modeling approaches and productionize solutions at scale for our hundreds of millions of active users • Promote and role-model best practices of ML model development, testing, evaluation, etc., both inside the team as well as throughout the organization • Engage with the broader ML community within Spotify and stay current with ML research to inspire and evolve our approaches • Partner closely with teams to translate their needs into foundational systems that enable each step of the core content lifecycle. • Mentor engineers and influence technical strategy by setting high standards in methodology, reproducibility, and collaboration.
Benefits
• Equity options mentioned as part of compensation: "Spotify offers competitive equity to all employees." • Paid Time Off (PTO) is included with benefits such as paid vacation, sick leave, and holidries offs. • Perks include a free meal allowance, commuter benefits (subway tokens), and access to gym facilities at workplace locations where applicable. • No explicit mention of other perks such as childcare assistance, transportation stipends for commuting to work (beyond subway tokens), pet insurance, etc., in the provided job posting text.
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