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

Key technologies and capabilities for this role

PythonGoHuggingfaceRayPyTorchTensorFlowKubernetes

Questions & Answers

Common questions about this position

What is the location and work arrangement for this role?

The role is based in Toronto, Canada, with flexibility to work where you work best, including some in-person meetings but allowing for work from home.

What experience and skills are required for this position?

Candidates need 6+ years of hands-on experience implementing production ML infrastructure at scale in Python, Go or similar languages, knowledge of deep learning fundamentals and tools like Huggingface, Ray, PyTorch or TensorFlow, understanding of distributed training with GPUs and Kubernetes, and experience with data processing for ML.

What is the salary or compensation for this role?

This information is not specified in the job description.

What is the company culture like at Spotify?

Spotify emphasizes inclusivity, diversity, and equal opportunity, welcoming people for who they are and valuing different voices and perspectives to drive innovation and forward-thinking.

What makes a strong candidate for this Senior Machine Learning Engineer role?

A strong candidate has 6+ years of experience with production ML infrastructure in Python or Go, expertise in deep learning tools and distributed training on Kubernetes, and the ability to work independently and collaboratively while learning new technologies.

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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