Spotify · 23 hours ago
Senior Staff Machine Learning Engineer
Spotify is a leading audio streaming subscription service that aims to enhance the listening experience for users. The Senior Staff Machine Learning Engineer will focus on developing recommender systems and defining the machine learning technical strategy to improve personalization across music and podcast content.
AudioCloud ComputingMusicMusic StreamingPodcast
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 development
Prototype 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
Qualification
Required
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
You're passionate about the opportunity to enrich the listening experience for users around the world
You have extensive experience in designing system architectures that include machine learning models as key components in enabling the product experiences
You have a strong bias to action by building MVPs, prototypes and illustrating ideas through concise documents to drive initiatives forward
Team-first approach with developed techniques to ensure teams are happy, motivated, and productive
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
Accountable to senior tech leadership for meeting our product and technology objectives and managing expectations if those are at risk
Demonstrated success leading technical initiatives and shaping strategic directions through cross-functional collaboration
Excellent communication skills and stakeholder management abilities; comfortable operating at the intersection of science and engineering
Benefits
Health insurance
Six month paid parental leave
401(k) retirement plan
Monthly meal allowance
23 paid days off
13 paid flexible holidays
Paid sick leave
Company
Spotify
Spotify is a commercial music streaming service that provides restricted digital content from a range of record labels and artists.
H1B Sponsorship
Spotify has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (140)
2024 (117)
2023 (169)
2022 (259)
2021 (172)
2020 (115)
Funding
Current Stage
Public CompanyTotal Funding
$2.09BKey Investors
ValueAct CapitalManhattan Venture Partners (MVP)Goldman Sachs Investment Partners
2023-02-10Post Ipo Equity
2021-02-25Post Ipo Debt
2018-04-03IPO
Recent News
2026-01-16
Music Business Worldwide
2026-01-16
Company data provided by crunchbase