Spotify

Senior Machine Learning Engineer, Personalization

Stockholm, Stockholm County, Sweden

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, EntertainmentIndustries

Requirements

Candidates should possess a Master's degree in Computer Science, Machine Learning, or a related field, and have at least 5 years of experience in developing and deploying machine learning models, with a strong focus on optimization and scalability. Expertise in machine learning frameworks such as Pytorch is required, along with experience in building efficient serving infrastructure and managing Kubernetes clusters in multi-region setups is essential. Familiarity with low-level machine learning libraries like Triton and C++ is also desired.

Responsibilities

The Senior Machine Learning Engineer will collaborate with a multidisciplinary team to optimize machine learning models for production use cases, ensuring they are highly efficient and scalable. They will design and build efficient serving infrastructure for machine learning models, lead the effort to transition models from research to production, and build and maintain scalable Kubernetes clusters. Furthermore, they will implement and monitor logging metrics, diagnose infrastructure issues, contribute to an on-call schedule, and influence technical design decisions to support new machine learning architectures, all while collaborating with stakeholders to drive forward initiatives related to model deployment and optimization at scale.

Skills

Machine Learning
Pytorch
Kubernetes
Scalable Infrastructure
Model Optimization
Generative Machine Learning
Speech
Audio
Serving Infrastructure
Logging
Metrics
Diagnosis

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.

Key Metrics

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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