Machine Learning Engineer

Spotify
New York, US
On-site

Who this role is best for

Best suited to mid-level ML engineers who thrive in data-driven music promotion analytics and have experience with global-scale model deployment.

Best fit for

  • Candidates with experience building both online and offline ML evaluation frameworks.
    — “effective online and offline strategies to efficiently iterate and evaluate model approaches”
  • Engineers comfortable working with global datasets to understand regional promotion factors.
    — “understanding the factors that play a role in the performance of promoted tracks across the globe”

Things to consider

  • Role requires continuous experimentation with evolving datasets and infrastructure.
    — “continually experiment and improve the model-based approach”

How to stand out

  • Demonstrate specific examples of translating ML outputs into business strategies.
    — “giving customers actionable insights for building their promotion strategies”
  • Highlight experience with both rapid prototyping and production-grade ML systems.
    — “build data-driven solutions, as well as effective online and offline strategies”
  • Showcase projects where you improved models using diverse feature sets.
    — “access to a growing list of datasets, features and ML infrastructure”
Pace · Fast PacedCollaboration · MediumAutonomy · MediumDecision Impact · TeamLevel · Mid

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • builds accurate models
  • drives product strategy
  • improves customer insights
Typical background
masters in data sciencephd in machine learning

Skills & requirements

Required

Machine LearningData SciencePythonData AnalysisModel Evaluation

Preferred

TensorFlowPyTorch

About the role

Original posting from Spotify via Lever

The Music Promotion team is building products that allow creators to promote their work to reach new audiences and create lasting connections with their fans. We’re looking for a Machine Learning Engineer to help us build systems that more accurately understand the performance that promotion can have, giving customers actionable insights for building their promotion strategies, whether it’s a DIY artist or an industry-facing partner.

As an ML Engineer, you will help execute on strategies for understanding the factors that play a role in the performance of promoted tracks across the globe. You’ll build data-driven solutions, as well as effective online and offline strategies to efficiently iterate and evaluate model approaches. You’ll have access to a growing list of datasets, features and ML infrastructure to continually experiment and improve the model-based approach.

Source: Spotify careers (Lever)

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