Machine Learning Engineer II at Spotify

Boston, Massachusetts, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Music, Podcasts, StreamingIndustries

Requirements

Full-stack AI prototyper: building personal projects with modern AI tools, experimenting fast, and iterating based on feedback
Active in the AI ecosystem: engaged in online communities, exploring open-source repos, reading papers, and trying new tools
End-to-end thinking: across the stack from designing user interactions, wiring up backends, building models, to deployment considerations
Working knowledge of machine learning fundamentals
Hands-on experience with Python, Java, or Scala and modern ML frameworks like PyTorch or TensorFlow
Experience fine-tuning and evaluating LLMs
Knowledge and/or experience building workflows that integrate LLMs and data into autonomous, multi-step workflows
Extensive experience crafting prompts to get desired results, including writing, improving, and testing them

Responsibilities

Rapidly prototype, iterate, and ship AI-powered music and podcast recommendation experiences using LLMs, agent frameworks, and Spotify’s recommender systems
Continuously explore and evaluate new models, tools, libraries, and product trends, bringing fresh ideas from AI frontiers and open-source innovation
Promote and model best practices in AI engineering, including LLMs and agents for products, advanced evaluation strategies, and AI-assisted coding tools
Leverage AI coding assistants to rapidly prototype full-stack MVPs
Collaborate with cross-functional partners (design, user research, product, data science, tech research, engineering) to bring ideas from concept to launch
Develop a keen eye for software quality, critically evaluating AI-generated code for correctness, performance, and Spotify's engineering best practices
Grow skills using Spotify’s career development resources and develop across disciplines
Build a strong foundation and culture in AI engineering by leveraging state-of-the-art tech, learning from mentors, pairing with Staff engineers, and shipping code to millions of users

Skills

Machine Learning

LLMs

Recommender Systems

Agent Frameworks

Prototyping

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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