Senior Machine Learning Engineer - AI/ML Platform at Spotify

Toronto, Ontario, Canada

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

6+ years of hands-on experience implementing production ML infrastructure at scale in Python, Go or similar languages
Knowledge of deep learning fundamentals, algorithms, and open-source tools such as Huggingface, Ray, PyTorch or TensorFlow
Understanding of distributed training leveraging GPUs and Kubernetes
General understanding of data processing for ML
Experience with agile software processes and modular code design following industry standards

Responsibilities

Contribute to Spotify ML Platform SDK and build tools for various ML operations
Collaborate with Machine Learning Engineers (MLE), researchers, and various product teams to deliver scalable ML platform tooling solutions that meet the timelines and specifications of given requirements
Work independently and collaboratively on squad projects that often requires learning and applying new technologies that may go beyond existing skillsets
Manage and maintain large scale production Kubernetes clusters for ML workloads, including ML platform infrastructure and necessary dev ops
Design, document and implement reliable, testable and maintainable solutions for ML infrastructure capabilities

Skills

Python

Huggingface

Ray

PyTorch

TensorFlow

Kubernetes

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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