Staff Research Engineer - Music at Spotify

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Music, AI, TechnologyIndustries

Requirements

Experience training or fine-tuning large machine learning models on GPUs using PyTorch or similar frameworks
Experience working with cloud platforms like Google Cloud Platform, AWS, or Microsoft Azure
Ability to debug problems in machine learning training code
Effective communication with global teams, ready to work both face-to-face and asynchronously with collaborators on multiple continents
Experience optimizing code for performance and making GPUs train at maximum efficiency
Ability to learn new concepts and technologies quickly and keep up to date with developments in machine learning and AI
Resourceful and proactive; seek out solutions through research, experimentation, and collaboration when faced with blockers
Not afraid to dig deep into the stack (e.g., working with lldb, NVIDIA Nsight, or other low-level debugging tools is a plus)
Solid grasp of computer science concepts like type systems, compilers, parallelism, thread safety, encapsulation
Interest in learning more about audio processing

Responsibilities

Closely collaborate with research scientists to turn new research ideas into well-engineered experiments, ensuring efficiency, clarity, and reproducibility
Improve model training pipelines by debugging distributed training, optimizing data loading at massive scale, and ensuring smooth scaling across compute environments
Optimize performance by profiling and accelerating existing training and inference code to make experiments faster and production systems more responsive
Integrate models into production environments, working directly with platform and product teams to deploy models to hundreds of millions of Spotify users
Incorporate state-of-the-art research by translating models and techniques from literature into robust, well-engineered prototypes
Maintain a high-quality codebase by enforcing clear structure, consistency, and testing practices for long-term maintainability in a fast-paced, globally distributed team
Enhance researcher experience by building internal tooling, libraries, and workflows to make experimentation, debugging, and deployment more efficient

Skills

Key technologies and capabilities for this role

Generative AIMusic AIDistributed TrainingModel Training PipelinesData Loading OptimizationCompute ScalingResearch EngineeringExperiment ImplementationPythonPyTorch

Questions & Answers

Common questions about this position

What experience is required for this Staff Research Engineer role?

You need experience training or fine-tuning large machine learning models on GPUs using PyTorch or similar frameworks.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What does the team focus on at Spotify's Artist-First AI Music lab?

The team pioneers and advances state-of-the-art generative technologies for music that create breakthrough experiences for fans and artists, centering artists and songwriters through principles like partnerships, choice in participation, fair compensation, and artist-fan connections.

What makes a strong candidate for this position?

Strong candidates have experience with large-scale ML model training using PyTorch, can collaborate with research scientists, optimize training pipelines, and maintain high-quality codebases for globally distributed teams.

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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