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Spotify Research Jobs (NOW HIRING)

Mxdwn

Social Media Assistant

Los Angeles, CA

... research and in terms of new channel activation. Qualifications Applicants should be well-versed in Twitter, Facebook, Tumblr, StumbleUpon, Reddit, Spotify, Pinterest, Instagram and Google+

mxdwn

Social Media Assistant

Los Angeles, CA · On-site

... research and in terms of new channel activation. Qualifications Applicants should be well-versed in Twitter, Facebook, Tumblr, StumbleUpon, Reddit, Spotify, Pinterest, Instagram and Google+

Quality Control Music

A&R Research Manager

Atlanta, GA · On-site

Position Overview Quality Control Music is seeking an A&R Research Manager to help identify ... Spotify for Artists * YouTube Analytics * TikTok Analytics * Soundcharts * Google Trends * Social ...

Touché

Back-end Developer

Barnegat, NJ · On-site +1

... and research with our engineering team. Benefits What you will get: * Competitive Salary ... Spotify * Parking * Health insurance Contract Type Full time permanent contract with 6 month of ...

INgrooves Music Group

Royalty Analyst

Encino, CA

$20 - $22/hr

... Spotify, iTunes, Pandora, Amazon, Google Music, YouTube, and Napster. Our team is solutions ... research, database ingestion and cleanup Assist with Soundexchange and Neighboring Rights files ...

CoolPay Europe SL

Back-end Developer

Barnegat, NJ · On-site +1

... and research with our engineering team. Benefits What you will get: * Competitive Salary ... Spotify * Parking * Health insurance Contract Type Full time permanent contract with 6 month of ...

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Spotify Research information

What are the key skills and qualifications needed to thrive as a Spotify Researcher, and why are they important?

To thrive as a Spotify Researcher, you need a strong background in computer science, data analysis, and machine learning, often supported by an advanced degree (Master’s or PhD) in a relevant field. Familiarity with programming languages such as Python, data processing frameworks, and research tools like TensorFlow or PyTorch is typically required. Strong problem-solving, communication, and collaboration skills set outstanding candidates apart in this multidisciplinary environment. These skills are crucial for developing innovative solutions, advancing Spotify’s technology, and translating research insights into impactful products.

What is the difference between Spotify Research vs Data Scientist?

AspectSpotify ResearchData Scientist
Required CredentialsMaster's or PhD in Data Science, Computer Science, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch teams focused on innovative projects, experimental analysisCross-functional teams applying data analysis to product development
Employer & Industry UsagePrimarily in research labs, tech companies, and R&D departmentsWidely in tech, finance, healthcare, and other data-driven industries

Spotify Research specializes in innovative, experimental research to improve products, often requiring advanced degrees. Data Scientists focus on analyzing data to inform business decisions and product features. Both roles require strong analytical skills but differ in their focus on research versus applied data analysis.

How does a Spotify Researcher typically collaborate with product and engineering teams?

Spotify Researchers regularly work alongside product managers and engineers to translate research findings into actionable product improvements. This collaboration often involves presenting insights, co-creating user personas, and participating in design sprints to ensure user needs are at the forefront of product development. Researchers may also help prioritize features based on user data and feedback, making strong communication and teamwork essential skills for the role.

What is Spotify Research?

Spotify Research is a division within Spotify focused on advancing scientific and technological innovation in areas such as machine learning, audio analysis, user personalization, natural language processing, and music information retrieval. Researchers at Spotify work on developing new algorithms and systems to improve the Spotify platform, enhance user experiences, and drive the future of streaming audio. Their work often results in published papers, open-source tools, and collaborations with the wider academic and research community.
More about Spotify Research jobs
What job categories do people searching Spotify Research jobs look for? The top searched job categories for Spotify Research jobs are:
Spotify Research jobs near you
Infographic showing various Spotify Research job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 88% Full Time, 10% Part Time, and 1% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.
General Application - Research & Science

General Application - Research & Science

System

New York, NY • On-site, Remote

Full-time

Re-posted 11 days ago

Job description

Welcome systems thinkers. System builds software to help the world see and solve anything as a system, starting in healthcare. We are a Public Benefit Corporation driven by purpose and shaped by values. We hire systems thinkers who are motivated by our purpose, share our values, and have the skills to advance our mission.
At System, research is the origin of our most important ideas - and researchers work at the frontier of graph theory, clinical AI, causal inference, and knowledge representation to push the boundaries of what our platform can do.
As a researcher at System, you will:
  • Develop and validate novel methods for modeling complex, interconnected systems
  • Work at the intersection of graph theory, machine learning, and domain-specific knowledge
  • Collaborate with Data Science and Engineering to transition research findings into production
  • Publish and present findings that advance both the field and System's mission
  • Partner with clinical and domain experts to ground research in real-world impact
  • Contribute to a culture of intellectual rigor, curiosity, and continuous learning
The ideal candidate has:
  • Master's or PhD in Computer Science, Statistics, Biomedical Informatics, or a related field
  • A strong publication record or equivalent applied research experience
  • Deep expertise in machine learning, statistical modeling, or computational methods
  • Experience working with complex, heterogeneous, or graph-structured data
  • Ability to communicate research findings clearly to both technical and non-technical audiences
  • Comfort operating in a fast-paced startup environment alongside a long research horizon
Bonus if you have:
  • Experience with clinical NLP, EHR data, or healthcare ontologies (SNOMED, ICD, OMOP)
  • Familiarity with knowledge graphs, semantic web technologies, or ontology engineering
  • Background in causal inference, systems dynamics, or complex adaptive systems
  • Experience collaborating with clinicians, policymakers, or public health researchers
You might be a fit if you:
  • Think in systems - mapping feedback loops, interdependencies, and second-order effects comes naturally to you
  • Are motivated by purpose-driven work, particularly at the intersection of technology and healthcare
  • Believe technology should be a force for good and are drawn to the Public Benefit Corporation model
  • Hold yourself and your work to a values-first standard, not just a deliverables-first one
  • Lead with first principles and are comfortable questioning assumptions others take for granted
  • See complexity as an invitation, not an obstacle - you thrive when problems are messy and interconnected
  • Care about the downstream effects of what you build - on users, on systems, on society
  • Operate with intellectual humility - always learning, always open to being wrong

Compensation:
Commensurate with experience and level.
About System
We aspire to help the world see itself differently and build a more responsible and values-driven model of a tech company. We are backed by top-tier VCs in Silicon Valley and New York and leading angel investors and founded by the former VP Data at Spotify. To learn more about what motivates our social mission, we invite you to read our blog here.
We believe in the power of autonomous, interdisciplinary, and diverse teams; in agile development; and in leading with values, first principles, and clear high-level priorities backed by data. We believe in cultivating a growth mindset for our team - always learning, improving, being challenged, and having opportunities for professional and personal development.
System Inc. is an equal opportunity employer. We are proud to foster a workplace, in person and online, free from discrimination. We strongly believe that diversity of experience, perspectives, and backgrounds will lead to a better environment for our employees and a better product for our users. We are committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Job applicants must be legally authorized to work in the United States of America and must maintain ongoing work authorization during employment.

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