Machine Learning Engineer, II

London, England, United Kingdom

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

AI & Machine Learning, Consumer Software, EntertainmentIndustries

Requirements

Candidates should possess a Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field, and have at least 3 years of experience in machine learning engineering. Strong proficiency in machine learning algorithms, particularly bandit algorithms, LLMs, and general neural networks, is required, along with experience in recommendation systems. Familiarity with Java, Scala, or Python is essential, as is experience with TensorFlow, PyTorch, or Scikit-learn. Experience with large-scale data processing frameworks like Apache Beam, Apache Spark, or Scio, and cloud platforms such as GCP or AWS is preferred.

Responsibilities

The Machine Learning Engineer II will contribute to the design, development, evaluation, and refinement of Spotify’s personalization products through hands-on machine learning development. They will collaborate with a cross-functional team to build new product features, prototype new approaches, and productionize solutions for millions of users. The role involves promoting best practices for ML systems development, testing, and evaluation, and participating in an active group of machine learning practitioners to develop a creator-first vision and strategy.

Skills

Machine Learning

Recommendation Systems

Bandit Algorithms

LLMs

Neural Networks

Java

Scala

Python

TensorFlow

PyTorch

Scikit-learn

Apache Beam

Apache Spark

Scio

GCP

AWS

Agile Development

Data-Driven Development

Experimentation

Spotify

Digital music streaming service with podcasts

About Spotify

Spotify provides a digital music streaming service that allows users to access millions of songs and podcasts from various artists and creators. Users can choose between a free plan, which includes advertisements, and a premium subscription that offers an ad-free experience along with features like offline listening and higher sound quality. This tiered model caters to different user preferences and budgets. Spotify generates revenue through subscription fees from premium users and advertising from the free tier. Unlike its competitors, Spotify stands out with its extensive music library, user-friendly interface, and personalized playlists. The company's goal is to connect listeners with a wide range of audio content while supporting artists and advertisers.

Stockholms kommun, SwedenHeadquarters

2006Year Founded

$2,004.2MTotal Funding

IPOCompany Stage

Consumer Software, EntertainmentIndustries

10,001+Employees

Benefits

Extensive learning opportunities, through our dedicated team, GreenHouse

Global parental leave, six months off - fully paid - for all new parents

Flexible public holidays, swap days off according to your values and beliefs

Flexible share incentives letting you choose how you share in our success

All The Feels, our employee assistance program and self-care hub

Spotify On Tour, join your colleagues on trips to industry festivals and events

Risks

Accidental display of adult content may harm Spotify's reputation.

Creating its own music to avoid royalties could lead to legal issues.

Layoffs may affect Spotify's operational efficiency and employee morale.

Differentiation

Spotify offers a vast library of music and podcasts globally.

The platform's user-friendly interface enhances user experience and engagement.

Spotify's personalized playlists cater to individual user preferences.

Upsides

Spotify's AI-powered Wrapped feature enhances user engagement and personalization.

Expansion into political podcasting taps into new audience segments.

Growing podcast popularity in Africa presents expansion opportunities for Spotify.

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