Senior Machine Learning Engineer - Messaging Platform

Spotify
London, Stockholm
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["PyTorch","Ray","Reinforcement learning","A/B testing","Causal inference","Metric decomposition","Cross-functional collaboration","Experimental design"]

Design, build, and deploy ML models to optimize messaging across push, email, and in-app channels, while running multi-objective A/B experiments and shaping long-term user outcomes. Lead the full ML lifecycle from data to deployment, collaborate cross-functionally, and advance reinforcement learning approaches to maximize long-term impact.

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FursaFursa
Spotify
Spotify
3 months ago

Senior Machine Learning Engineer - Messaging Platform

✓ Verified Job

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Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Design, build, and deploy ML models to optimize messaging across push, email, and in-app channels, while running multi-objective A/B experiments and shaping long-term user outcomes. Lead the full ML lifecycle from data to deployment, collaborate cross-functionally, and advance reinforcement learning approaches to maximize long-term impact.
Location: London, Stockholm
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Design, build, and ship machine learning models that optimize messaging across push, email, and in-app channels.
  • •Plan and run A/B experiments in a multi-objective environment, balancing conversion, engagement, retention, and reachability.
  • •Own the full ML lifecycle, from data and modeling to deployment, monitoring, and iteration.
  • •Integrate ML models with upstream systems, including domain value signals and opportunity generation frameworks.
  • •Help shape the future of AI-assisted development within the team, exploring how tools can accelerate experimentation and delivery.

Key Requirements

  • •Strong experience building and deploying machine learning models in production environments at scale.
  • •Ability to translate business problems into ML solutions and discuss trade-offs with cross-functional partners.
  • •Hands-on experience with PyTorch and distributed systems such as Ray or similar frameworks.
  • •Interest in reinforcement learning and long-term optimization systems; willingness to explore new methods.
  • •Excellent understanding of experimentation, reliable test design, and metrics across interacting objectives.
Experience:Machine learningProductionReinforcement learning
Skills:PyTorchRayReinforcement learningA/B testingCausal inferenceMetric decompositionCross-functional collaborationExperimental design
Tech Stack:PyTorchRayReinforcement LearningA/B testingCausal inferenceMetric decomposition

Company Brief

Spotify
Provides a music, podcast and audio streaming service offering on-demand access to millions of tracks and podcasts, personalized recommendations, and advertising and subscription-based tiers for listeners and creators worldwide.
Industry: Streaming Platforms
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Stockholm, Sweden
Founded: 2006
Glassdoor
Glassdoor: 4.1
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