Senior Machine Learning Engineer at Spotify

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Music StreamingIndustries

Requirements

Strong background in machine learning, applying theory to real-world applications, with expertise in statistics and optimization, especially in sequential models, transformer architecture models, and fine-tuning processes for sequential models
Hands-on experience with large cross-collaborative machine learning projects and managing stakeholders
Hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages
Experience with TensorFlow, PyTorch, Scikit-learn, etc. (strong plus)
Some experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, Scio, and cloud platforms like GCP or AWS
Care about agile software processes, data-driven development, reliability, and disciplined experimentation

Responsibilities

Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining ML models for the personalization of the main homepage
Lead collaborations and align across PZN to integrate and A/B test mid-term signals in various recommendation systems
Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization

Skills

Machine Learning

Statistics

Optimization

Sequential Models

Transformer Architecture

Fine-tuning

Java

Scala

Python

TensorFlow

PyTorch

Scikit-learn

Recommendation Systems

A/B Testing

ML Systems

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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