Spotify · 1 week ago
Senior Staff Machine Learning Engineer - Home
United States
Full-time
Remote
Senior Level, Lead/Staff
$265K/yr - $378K/yrSpotify is a leading audio streaming subscription service that transformed music listening in 2008. They are seeking a Senior Staff Machine Learning Engineer to provide technical leadership for machine learning systems powering the Spotify Home experience, focusing on personalization and user engagement.
AudioCloud ComputingMusicMusic StreamingPodcast
Responsibilities
Define and drive the machine learning technical strategy for Spotify Home, spanning retrieval, ranking, page composition, layout optimization, and real-time personalization
Work at the intersection of recommender systems, generative models, and user intent understanding to deliver highly adaptive and engaging Home experiences
Lead hands-on development of ML models and systems, from prototyping new ideas to productionizing solutions at global scale
Provide senior-level technical leadership across multiple teams, influencing architecture, modeling choices, and long-term investments
Design, build, evaluate, ship, and iterate on large-scale ML systems that directly power Home for hundreds of millions of users
Partner closely with product, design, and user research to translate UX goals and user needs into robust ML systems
Drive best practices in experimentation, offline/online evaluation, model lifecycle management, and reliability
Help evolve Home toward more contextual, generative, and intent-aware experiences, leveraging transformers, sequence models, and emerging techniques
Collaborate with platform and foundation teams to effectively leverage shared models and infrastructure while tailoring solutions to Home’s unique needs
Mentor senior engineers and influence technical standards through thoughtful reviews, documentation, and architectural guidance
Act as a technical ambassador for Home within Spotify’s broader ML community, staying current with research and industry trends
Qualification
Required
A Deep background in machine learning and recommender systems, with a strong track record of translating ML innovation into shipped product impact
Extensive experience building and operating large-scale, user-facing ML systems in production
Comfortable working across the full ML stack: data, modeling, evaluation, serving, experimentation, and iteration
Hands-on experience with or strong interest in transformer-based models, sequence modeling, and/or generative approaches in recommender systems
You have production experience with languages such as Python, Java, or Scala; experience with PyTorch, TensorFlow, or JAX is a strong plus
A strong systems thinker who can reason about latency, scalability, trade-offs, and end-to-end architecture
You thrive in ambiguity and can lead high-impact initiatives where the problem and solution evolve over time
You communicate clearly and effectively, influencing across engineering, product, design, and leadership
You care deeply about experimentation, data-driven decision making, and user experience quality
You have a strong bias to action: building prototypes and MVPs, launching systems in production, and defining clear technical narratives to move ideas forward
You take a team-first approach, helping others succeed while raising the technical bar
You have demonstrated success leading complex technical initiatives and shaping strategy through collaboration
Passion for crafting experiences that delight users and keep the world listening
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.
Founded in 2006
5001-10000 employees
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
Leadership Team
Alex Norstrom
Co-CEO
Daniel Ek
Chairman & CEO
Recent News
2026-01-11
2026-01-09
Company data provided by crunchbase