Machine Learning Engineer, GenRecs, Personalization at Spotify

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

Experienced ML practitioner motivated to work on complex real-world problems in a fast-paced and collaborative environment
Strong background in machine learning, natural language processing, and generative AI, with experience in applying theory to develop real-world applications
Hands-on expertise with implementing end-to-end production ML systems at scale in Python, Java or Scala
Experience with PyTorch and/or TensorFlow (strong plus)
Experience with designing end-to-end tech specs and modular architectures for ML frameworks in complex problem spaces in collaboration with product teams
Experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, and cloud platforms like GCP or AWS
Located within the North America region (with team operating in Eastern Standard time zone for collaboration)

Responsibilities

Design, build, evaluate, and ship ML solutions in Spotify’s personalization products
Collaborate with cross functional teams spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and useful ways
Prototype new approaches and productionize solutions at scale for hundreds of millions of active users
Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization
Be part of an active group of machine learning practitioners

Skills

Key technologies and capabilities for this role

PythonJavaScalaPyTorchTensorFlowApache BeamApache SparkGCPAWSMachine LearningNatural Language ProcessingGenerative AI

Questions & Answers

Common questions about this position

What is the salary range for this Machine Learning Engineer position?

The United States base range for this position is $138,250 - $197,500 plus equity.

Is this role remote or hybrid, and what are the location requirements?

The role offers flexibility to work where you work best within the North America region as long as there is a work location, with the team operating within the Eastern Standard time zone for collaboration.

What skills and experience are required for this role?

Candidates need a strong background in machine learning, natural language processing, and generative AI, hands-on expertise with end-to-end production ML systems at scale in Python, Java or Scala, and experience with designing end-to-end tech specs and modular architectures. Experience with Pytorch and/or TensorFlow, and large scale distributed data processing frameworks like Apache Beam, Apache Spark, and cloud platforms like GCP or AWS is a strong plus.

What benefits are offered for this position?

Benefits include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, and paid sick leave.

What kind of company culture can I expect at Spotify's Personalization team?

The team is collaborative and fast-paced, working with cross-functional teams to build personalization products for hundreds of millions of users, with a culture that values diverse voices, personal experiences, and perspectives in an inclusive environment.

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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